District Data Entry Specialist (Part-Time)

🏢 Summary: Remote Data Scientist V contract role focused on advanced analytics, experimentation, and data-driven decision-making for new product development. The position involves building statistical models, designing A/B tests and KPI frameworks, and partnering with cross-functional teams to influence product strategy. Candidates should have strong expertise in Python, SQL, statistics, and product analytics in fast-paced technology environments. 🗂️ Requirements: Experience supporting 0-to-1 product development with data science, Proficiency in Python, Advanced SQL experience, Strong statistics knowledge, Experience with A/B testing, Experience designing KPI frameworks, Knowledge of operational research techniques, Ability to translate analytical findings into business recommendations, Ability to manage multiple priorities, Bachelor’s degree in Statistics, Computer Science, Data Science, Mathematics, or related field, Eligibility to work on direct W2 without sponsorship 📃 Skills: Python, SQL, Statistics, Modeling, Analytics, Forecasting, Optimization, Simulation, Experimentation, Dashboards, Automation, Regression 🏢 Description: itD is seeking a Data Scientist V to drive data-informed decision-making for new product development by delivering advanced analytics, experimentation, and actionable insights across cross-functional teams. The ideal candidate will bring deep expertise in data science, statistical analysis, and product analytics, along with a proven track record of supporting 0-to-1 product development, designing measurement frameworks, and influencing product strategy through data. Duration: 6 Months We provide comprehensive medical benefits, a 401(k) plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship. Responsibilities - Analyze large, complex datasets to identify trends, business opportunities, and key drivers that influence product performance. - Design, execute, and evaluate experiments, including A/B tests, KPI frameworks, and measurement strategies for new product initiatives. - Develop reproducible analyses, dashboards, and reporting solutions to enable ongoing product and business performance monitoring. - Build statistical models and operational research solutions to support forecasting, optimization, prioritization, and strategic planning. - Partner with product managers, engineers, and cross-functional stakeholders to translate business questions into scalable analytical solutions. - Present analytical findings and recommendations to technical and non-technical audiences, enabling data-driven product decisions. - Validate data quality, document analytical methodologies, and ensure accuracy and consistency across reporting and insights. Internal Responsibilities - Attend regular internal practice community meetings. - Collaborate with your practice team on industry thought leadership. - Complete client case studies and learning material. - Build out material to contribute to the Digital Transformation practice. - Attend internal networking events. - Work with leadership on career fast-track opportunities. Required Qualifications and Skills - Proven experience using data science to support 0-to-1 product development. - Strong proficiency in Python for data analysis, statistical modeling, and automation. - Advanced experience with SQL for querying, transforming, and analyzing large-scale datasets. - Strong knowledge of statistics, including hypothesis testing, regression analysis, experimental design, and statistical inference. - Experience designing and evaluating A/B tests, KPI frameworks, and measurement methodologies. - Knowledge of operational research techniques, including optimization, simulation, or decision analysis. - Experience translating complex analytical findings into actionable business recommendations. - Ability to manage multiple priorities and deliver high-quality analytical work in a fast-paced environment. Preferred Qualifications and Skills - Experience building or supporting data pipelines or a data engineering background. - Previous experience at a large technology company. - Experience supporting rapid product innovation within consumer technology environments. - Experience partnering closely with product teams on product strategy and experimentation. Education - Bachelor's degree in Statistics, Computer Science, Data Science, Mathematics, or a related quantitative field, or equivalent work experience required. Benefits - Comprehensive medical benefits - 401(k) plan - Paid holidays

🏢 Summary: Senior Data Platform Engineer role focused on designing, building, and operating scalable, highly available data persistence systems for distributed services. The position combines backend engineering, platform reliability, and cloud-native data infrastructure to improve performance, scalability, and observability of global data ecosystems. Hybrid work model with competitive salary and comprehensive benefits. 🗂️ Requirements: 5+ years of software engineering experience in production systems, Strong backend engineering skills (Python, Java, or Kotlin), Experience with large-scale, data-intensive systems, Solid understanding of distributed systems fundamentals, Experience in cloud environments (AWS preferred), Experience with relational or NoSQL databases, Hands-on experience with large-scale data pipelines, Experience with event-driven or streaming architectures, Understanding of end-to-end data flow (ingestion, transformation, storage, access), Experience designing scalable and reliable data systems 📃 Skills: Python, Java, Kotlin, Kafka, Spark, PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch, AWS, Terraform, ETL 🏢 Description: We are hiring on behalf of our client, a global innovator in fitness and wellness technology. Their mission is to empower people to live fit, strong, long, and happy lives by delivering integrated experiences to millions of members anytime, anywhere. We are looking for a Senior Data Platform Engineer to join the Datastores team. This team is responsible for building and operating the core data persistence layer used by application services across the organization. In this role, you will design and improve the systems that store, access, and scale critical data across distributed services. It is a hands-on engineering position where you will work at the intersection of backend engineering, platform reliability, and cloud-native data infrastructure. Your work will directly influence the scalability, performance, and reliability of the company’s global data ecosystem. Key takeaways: Stack: Python, Kafka, Spark, PostgreSQL, AWS Salary: 23.000 - 30 000 PLN gross per month on Employment Contract Working model: hybrid - 3x weekly from the office Location: ul. Grzybowska 60, Warsaw Recruitment process: A call with Motife recruiter (30 min) Coding Interview (1h) Interview panel: architecture & system design discussion; Hiring Manager meeting (up to 2h in total) Responsibilities: Data Infrastructure Engineering Design, build, and operate backend systems that rely on scalable and highly available data persistence layers. Contribute to architectural decisions around distributed data systems, multi-region persistence, and global scalability. Improve the reliability and performance of production datastores used by critical services. Data Performance & Optimization Partner with service teams to improve database schema design, query performance, and data modelling. Optimize data access patterns and indexing strategies for relational and NoSQL databases. Support teams in designing systems that scale efficiently under high load. Developer Experience & Platform Tooling Build and maintain self-service tooling that enables engineers to provision and manage databases and caching layers. Contribute to infrastructure automation using tools such as Terraform and internal developer platforms. Improve observability and operational insight into datastore performance and reliability. Platform Reliability & Observability Implement monitoring, metrics, and tracing strategies to improve visibility into production data systems. Develop autoscaling and performance optimization strategies for critical data infrastructure. Support operational excellence by reducing manual processes and improving system resilience. Requirements: Technical Expertise 5+ years of experience in software engineering, building and operating production systems Strong backend engineering fundamentals (e.g. Python, Java, or Kotlin) Experience working with large-scale, data-intensive systems Solid understanding of distributed systems fundamentals (e.g. scalability, latency, reliability, data consistency) Experience working in cloud environments (preferably AWS) Familiarity with relational or NoSQL databases (e.g. PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch) Data Systems & Architecture Hands-on experience with large-scale data pipelines and data processing systems Exposure to event-driven architectures, streaming or batch processing (e.g. Kafka, Spark, ETL workflows) Understanding of end-to-end data flow: ingestion (how data enters the system) transformation (how it is processed) storage & access (how other services consume it) Experience designing systems where data performance, scalability, and reliability are critical Collaboration & Engineering Mindset Ability to work cross-functionally with service teams to improve system design and data access patterns. Strong problem-solving skills with a focus on performance, scalability, and reliability. Clear communication skills and a collaborative engineering approach. What we offer: 100% paid medical care Multisport Creative tax (KUP) Home office allowance MacBook Pro Apply now If you’re excited about building developer platforms that scale, empower teams, and set new standards for engineering excellence, we’d love to hear from you. Apply via our careers page and please submit your CV in English .

🏢 Summary: Senior Data Platform Engineer role focused on designing, building, and operating scalable, highly available data persistence systems for distributed services. The position combines backend engineering, cloud-native infrastructure, and data platform reliability to improve performance and scalability of global data systems. It is a hands-on role working with large-scale data pipelines, streaming, and cloud environments. 🗂️ Requirements: 5+ years of software engineering experience in production systems, Strong backend programming skills in Python, Java, or Kotlin, Experience with large-scale, data-intensive systems, Solid understanding of distributed systems fundamentals, Experience with cloud environments, preferably AWS, Experience with relational or NoSQL databases, Hands-on experience with large-scale data pipelines, Experience with event-driven architectures or streaming systems, Understanding of end-to-end data flow and data modeling, Experience designing scalable and reliable data systems, Experience with infrastructure automation tools 📃 Skills: Python, Java, Kotlin, Kafka, Spark, PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch, AWS, Terraform, ETL 🏢 Description: We are hiring on behalf of our client, a global innovator in fitness and wellness technology. Their mission is to empower people to live fit, strong, long, and happy lives by delivering integrated experiences to millions of members anytime, anywhere. We are looking for a Senior Data Platform Engineer to join the Datastores team. This team is responsible for building and operating the core data persistence layer used by application services across the organization. In this role, you will design and improve the systems that store, access, and scale critical data across distributed services. It is a hands-on engineering position where you will work at the intersection of backend engineering, platform reliability, and cloud-native data infrastructure. Your work will directly influence the scalability, performance, and reliability of the company’s global data ecosystem. Key takeaways: Stack: Python, Kafka, Spark, PostgreSQL, AWS Salary: 23.000 - 30 000 PLN gross per month on Employment Contract Working model: hybrid - 3x weekly from the office Location: ul. Grzybowska 60, Warsaw Recruitment process: A call with Motife recruiter (30 min) Coding Interview (1h) Interview panel: architecture & system design discussion; Hiring Manager meeting (up to 2h in total) Responsibilities: Data Infrastructure Engineering Design, build, and operate backend systems that rely on scalable and highly available data persistence layers. Contribute to architectural decisions around distributed data systems, multi-region persistence, and global scalability. Improve the reliability and performance of production datastores used by critical services. Data Performance & Optimization Partner with service teams to improve database schema design, query performance, and data modelling. Optimize data access patterns and indexing strategies for relational and NoSQL databases. Support teams in designing systems that scale efficiently under high load. Developer Experience & Platform Tooling Build and maintain self-service tooling that enables engineers to provision and manage databases and caching layers. Contribute to infrastructure automation using tools such as Terraform and internal developer platforms. Improve observability and operational insight into datastore performance and reliability. Platform Reliability & Observability Implement monitoring, metrics, and tracing strategies to improve visibility into production data systems. Develop autoscaling and performance optimization strategies for critical data infrastructure. Support operational excellence by reducing manual processes and improving system resilience. Requirements: Technical Expertise 5+ years of experience in software engineering, building and operating production systems Strong backend engineering fundamentals (e.g. Python, Java, or Kotlin) Experience working with large-scale, data-intensive systems Solid understanding of distributed systems fundamentals (e.g. scalability, latency, reliability, data consistency) Experience working in cloud environments (preferably AWS) Familiarity with relational or NoSQL databases (e.g. PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch) Data Systems & Architecture Hands-on experience with large-scale data pipelines and data processing systems Exposure to event-driven architectures, streaming or batch processing (e.g. Kafka, Spark, ETL workflows) Understanding of end-to-end data flow: ingestion (how data enters the system) transformation (how it is processed) storage & access (how other services consume it) Experience designing systems where data performance, scalability, and reliability are critical Collaboration & Engineering Mindset Ability to work cross-functionally with service teams to improve system design and data access patterns. Strong problem-solving skills with a focus on performance, scalability, and reliability. Clear communication skills and a collaborative engineering approach. What we offer: 100% paid medical care Multisport Creative tax (KUP) Home office allowance MacBook Pro Apply now If you’re excited about building developer platforms that scale, empower teams, and set new standards for engineering excellence, we’d love to hear from you. Apply via our careers page and please submit your CV in English .

🏢 Summary: Senior Data Platform Engineer role focused on designing, building, and operating scalable, highly available data persistence systems for distributed services. The position combines backend engineering, cloud-native infrastructure, and data platform reliability to support global, data-intensive applications. The engineer will enhance performance, scalability, and observability of production datastores across a multi-region environment. 🗂️ Requirements: 5+ years of software engineering experience in production systems, Strong backend programming skills (Python, Java, or Kotlin), Experience with large-scale, data-intensive systems, Solid understanding of distributed systems fundamentals, Experience with cloud environments, preferably AWS, Hands-on experience with relational or NoSQL databases, Experience with large-scale data pipelines and data processing systems, Experience with event-driven architectures or streaming/batch processing, Understanding of end-to-end data flow (ingestion, transformation, storage, access), Experience designing scalable, high-performance, reliable data systems 📃 Skills: Python, Java, Kotlin, Kafka, Spark, PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch, AWS, Terraform, ETL 🏢 Description: We are hiring on behalf of our client, a global innovator in fitness and wellness technology. Their mission is to empower people to live fit, strong, long, and happy lives by delivering integrated experiences to millions of members anytime, anywhere. We are looking for a Senior Data Platform Engineer to join the Datastores team. This team is responsible for building and operating the core data persistence layer used by application services across the organization. In this role, you will design and improve the systems that store, access, and scale critical data across distributed services. It is a hands-on engineering position where you will work at the intersection of backend engineering, platform reliability, and cloud-native data infrastructure. Your work will directly influence the scalability, performance, and reliability of the company’s global data ecosystem. Key takeaways: Stack: Python, Kafka, Spark, PostgreSQL, AWS Salary: 23.000 - 30 000 PLN gross per month on Employment Contract Working model: hybrid - 3x weekly from the office Location: ul. Grzybowska 60, Warsaw Recruitment process: A call with Motife recruiter (30 min) Coding Interview (1h) Interview panel: architecture & system design discussion; Hiring Manager meeting (up to 2h in total) Responsibilities: Data Infrastructure Engineering Design, build, and operate backend systems that rely on scalable and highly available data persistence layers. Contribute to architectural decisions around distributed data systems, multi-region persistence, and global scalability. Improve the reliability and performance of production datastores used by critical services. Data Performance & Optimization Partner with service teams to improve database schema design, query performance, and data modelling. Optimize data access patterns and indexing strategies for relational and NoSQL databases. Support teams in designing systems that scale efficiently under high load. Developer Experience & Platform Tooling Build and maintain self-service tooling that enables engineers to provision and manage databases and caching layers. Contribute to infrastructure automation using tools such as Terraform and internal developer platforms. Improve observability and operational insight into datastore performance and reliability. Platform Reliability & Observability Implement monitoring, metrics, and tracing strategies to improve visibility into production data systems. Develop autoscaling and performance optimization strategies for critical data infrastructure. Support operational excellence by reducing manual processes and improving system resilience. Requirements: Technical Expertise 5+ years of experience in software engineering, building and operating production systems Strong backend engineering fundamentals (e.g. Python, Java, or Kotlin) Experience working with large-scale, data-intensive systems Solid understanding of distributed systems fundamentals (e.g. scalability, latency, reliability, data consistency) Experience working in cloud environments (preferably AWS) Familiarity with relational or NoSQL databases (e.g. PostgreSQL, MySQL, DynamoDB, Redis, Elasticsearch) Data Systems & Architecture Hands-on experience with large-scale data pipelines and data processing systems Exposure to event-driven architectures, streaming or batch processing (e.g. Kafka, Spark, ETL workflows) Understanding of end-to-end data flow: ingestion (how data enters the system) transformation (how it is processed) storage & access (how other services consume it) Experience designing systems where data performance, scalability, and reliability are critical Collaboration & Engineering Mindset Ability to work cross-functionally with service teams to improve system design and data access patterns. Strong problem-solving skills with a focus on performance, scalability, and reliability. Clear communication skills and a collaborative engineering approach. What we offer: 100% paid medical care Multisport Creative tax (KUP) Home office allowance MacBook Pro Apply now If you’re excited about building developer platforms that scale, empower teams, and set new standards for engineering excellence, we’d love to hear from you. Apply via our careers page and please submit your CV in English .

🏢 Summary: The role involves developing, automating, and supporting cloud-native applications and infrastructure within an agile team. The position focuses on building and enhancing services using Python and Java ecosystems, managing SQL Server databases, and maintaining cloud-based Linux and Windows systems. It requires active contribution to CI/CD processes and modern software engineering practices. 🗂️ Requirements: Master’s degree in Computer Science, Information Technology or equivalent experience, Minimum 4 years of experience with Python and Java ecosystems, Minimum 4 years of experience with web technologies, Experience with MS SQL Server databases, Experience with Linux and Windows environments, Experience with AWS, Proficiency with Git and CI/CD practices, Experience with modern development tools and Agile (Scrum) 📃 Skills: Python, Java, Spring, Maven, JUnit, HTML, CSS, JavaScript, TypeScript, JSON, XML, SQL, SQLServer, Linux, Bash, Windows, PowerShell, AWS, Git, CI/CD, Jira, Confluence, Scrum 🏢 Description: Who we are looking for We are seeking a smart, experienced, and talented individual that takes a service-oriented approach to their work and is passionate about software development and process automation. In this role you will work as part of an agile team of software developers and systems engineers responsible for building, supporting, and enhancing the feature set of our cloud-native technology stack. Current skills using programming languages/tools for our active code bases are required.  These include both Python, and Java ecosystems, web development in Windows and Linux environments. Proficiency in developing with SQL Server databases is key to this role and strong skills are required. Candidates must be able to demonstrate proficiency with Git and modern CI/CD software engineering practices. What you will be responsible for Development of new processes, services and applications using modern software development languages, tools, and methodologies Automation, configuration, monitoring and troubleshooting of cloud-based Linux and Windows systems Collaborate with geographically dispersed, cross-functional teams to streamline workflows Support business users with technical issues Identify root causes for technical problems and continuously refine our infrastructure Define and document workflows and operating procedures for complex systems What we value A successful candidate will be an independent contributor, service-focused team player, eager to learn new technologies, skilled in using modern software development tools, familiar with automation techniques, and exceptional at helping people find innovative solutions to challenging problems. This job is an excellent fit for someone eager to make key contributions in our fast-paced, ever-evolving environment who has a passion for quality, problem solving, and good attention to detail. Education & Preferred Qualifications Master's degree in computer science or information technology (or similar) or equivalent experience min. 4 years of experience writing software in Python and Java ecosystems (Spring, Maven, JUnit) min. 4 years of experience with web technologies (HTML, CSS, JavaScript, TypeScript, JSON, XML) experience developing with MS SQL Server databases familiarity with Linux (bash) and Windows environments (PowerShell) experience building and deploying systems using Amazon Web Services (AWS) Proficient with modern software development tools (IDEs, CI/CD, GIT, Jira, Confluence, etc.) and agile (scrum) management practices. Note: The role requires a minimum of three days per week working from the office Minimum Salary: ​ zł182,004 Annual The minimum salary quoted above applies to the role in the primary location specified. If the candidate ultimately works outside of this primary location, the applicable minimum salary may differ.​ Salary will be determined based on factors such as the position, type of work performed, individual skills, job description, working hours, diligence, initiative, self-management, length of employment, availability, and the quantity and quality of work delivered, as well as other objective and non-discriminatory criteria relevant to State Street employees.​ In addition to salary, employees are eligible to be considered for discretionary annual performance-based awards.​​ We Offer: ​ Permanent contract from day one​ Additional holidays (Birthday Day Off, 3rd and 5th year anniversary Day Off)​ Gold Medical Package for employees and their families (partner and children)​ Premium life insurance package and private pension plan​ Wide range of soft skills training, technical workshops, language classes and development programs​ Opportunities to volunteer your time to company-driven initiatives, employee networks or organizations of your choice​ Variety of well-being programs​ Additional benefits available depending on the seniority of the role About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at StateStreet.com/careers Read our CEO Statement Benefits Medical Care and Insurance We provide a range of medical plans that cover you and your dependents. You can also take advantage of our employee and family life insurance, accidental death and dismemberment coverage. Well-Being Programs State Street's BeWell helps employees proactively manage their well-being. Our Employee Assistance Program (EAP) provides personal and confidential assistance for a broad range of issues. Financial Well-Being Depending on where you work, you will be eligible for regionally specific savings and/or retirement plans. We also provide resources and host local events to educate employees on achieving financial well-being. Holidays and Time Off We provide our employees with a highly competitive holiday and paid vacation allowance, with considerations for local requirements. We also offer our employees two paid days off to volunteer their time to company-driven initiatives or organizations of their choice.​​​​​​​ Supporting Families We are committed to supporting all employees and the ones they care about.  Some of our programs include paid parental leaves, back-to-work support, adoption assistance or flex work arrangements. Other Benefits Among others benefits, you may have access to group savings, discounts at sport clubs and cinemas, and our new employee referral bonus program.

🏢 Summary: The role focuses on developing and maintaining a cloud-native data collection system that powers investment data products and indices. You will build, automate, and support scalable applications and infrastructure, ensuring high-quality data delivery using modern software engineering and CI/CD practices. The position involves working in an agile team to enhance systems running on AWS and SQL Server environments. 🗂️ Requirements: Master’s degree in Computer Science, Information Technology or equivalent experience, 3-4 years of experience with Python, SQL, HTML, CSS, JavaScript, TypeScript, JSON, XML, Java, Spring, Maven, JUnit, Bash, PowerShell, 3-4 years of experience with SQL Server, 1-2 years of experience with AWS, Proficiency with Git and CI/CD practices, Experience with modern software development methodologies (Agile, Scrum), Experience with Linux and Windows systems administration, Ability to automate, monitor and troubleshoot cloud-based systems 📃 Skills: Python, SQL, HTML, CSS, JavaScript, TypeScript, JSON, XML, Java, Spring, Maven, JUnit, Bash, PowerShell, SQLServer, AWS, Git, CI/CD, Linux, Windows, Jira, Confluence 🏢 Description: Why this role is important to us The team you’ll be joining is collecting and fueling data into State Street Data Intelligence (SSDI), a division dedicated to transforming data into actionable insights for smarter investment decisions. Launched in 2025, SSDI develops and delivers innovative products that give clients a competitive edge through unique data sets. Our current offerings include the State Street PriceStats Indices —trusted by hundreds of investors and multiple central banks worldwide—and the State Street Private Capital Indices , which help investors construct and benchmark private equity and credit portfolios. These indices are based on a large datasets that are continually collected and updated. In the role you will be developing the data collection system and ensuring it operates smoothly while satisfying the data needs and requirements. Who we are looking for We are seeking a smart, experienced, and talented individual that takes a service-oriented approach to their work and is passionate about software development and process automation. In this role you will work as part of an agile team of software developers and systems engineers responsible for building, supporting, and enhancing the feature set of our cloud native technology stack. Current skills using programming languages/tools for our active code bases are required.  These include Python, SQL, HTML, CSS, JavaScript, TypeScript, JSON, XML, Java, Spring, Maven, Junit, Bash, and PowerShell. Proficiency in developing with SQL Server databases is key to this role and strong skills are required. Candidates must be able to demonstrate proficiency with Git and modern CI/CD software engineering practices. What you will be responsible for Development of new processes, services and applications using modern software development languages, tools, and methodologies Automation, configuration, monitoring and troubleshooting of cloud-based Linux and Windows Systems Collaborate with geographically dispersed, cross-functional teams to streamline workflows Support business users with technical issues Identify root causes for technical problems and continuously refine our infrastructure Define and document workflows and operating procedures for complex systems What we value A successful candidate will be service-focused, a team player, eager to learn new technologies, skilled in using modern software development tools, familiar with automation techniques, and exceptional at helping people find innovative solutions to challenging problems. This job is an excellent fit for someone eager to make key contributions in our fast-paced, ever-evolving environment. Education & Preferred Qualifications Master's degree in computer science or information technology (or similar) or equivalent experience 3-4 years of experience writing software using Python, SQL, HTML, CSS, JavaScript, TypeScript, JSON, XML, Java, Spring, Maven, JUnit, Bash, and PowerShell 3-4 years of experience developing with SQL Server databases 1-2 years of experience building and deploying systems using Amazon Web Services (AWS) Proficient with modern software development methodologies and tools (IDEs, GIT, Jira, Confluence, agile, scrum, CI/CD, etc.) Great communicator and an ability to thrive in a fast-paced, dynamic environment Independent thinker and problem solver with good attention to detail Service-oriented with a passion for quality Minimum Salary: ​ zł132,000 Annual The minimum salary quoted above applies to the role in the primary location specified. If the candidate ultimately works outside of this primary location, the applicable minimum salary may differ.​ Salary will be determined based on factors such as the position, type of work performed, individual skills, job description, working hours, diligence, initiative, self-management, length of employment, availability, and the quantity and quality of work delivered, as well as other objective and non-discriminatory criteria relevant to State Street employees.​ In addition to salary, employees are eligible to be considered for discretionary annual performance-based awards.​ ​ We Offer: ​ Permanent contract from day one​ Additional holidays (Birthday Day Off, 3rd and 5th year anniversary Day Off)​ Gold Medical Package for employees and their families (partner and children)​ Premium life insurance package and private pension plan​ Wide range of soft skills training, technical workshops, language classes and development programs​ Opportunities to volunteer your time to company-driven initiatives, employee networks or organizations of your choice​ Variety of well-being programs​ Additional benefits available depending on the seniority of the role About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at StateStreet.com/careers Read our CEO Statement State Street's Speak Up Line Załącznik do standardu Whistleblowing i Speak Up SSBI GmbH dla Oddziału w Polsce Benefits Medical Care and Insurance We provide a range of medical plans that cover you and your dependents. You can also take advantage of our employee and family life insurance, accidental death and dismemberment coverage. Well-Being Programs State Street's BeWell helps employees proactively manage their well-being. Our Employee Assistance Program (EAP) provides personal and confidential assistance for a broad range of issues. Financial Well-Being Depending on where you work, you will be eligible for regionally specific savings and/or retirement plans. We also provide resources and host local events to educate employees on achieving financial well-being. Holidays and Time Off We provide our employees with a highly competitive holiday and paid vacation allowance, with considerations for local requirements. We also offer our employees two paid days off to volunteer their time to company-driven initiatives or organizations of their choice.​​​​​​​ Supporting Families We are committed to supporting all employees and the ones they care about.  Some of our programs include paid parental leaves, back-to-work support, adoption assistance or flex work arrangements. Other Benefits Among others benefits, you may have access to group savings, discounts at sport clubs and cinemas, and our new employee referral bonus program.

🏢 Summary: The offer is for a senior Integration Engineer to design and build high-performance, mission-critical integration platforms in globally distributed cloud environments. The role focuses on microservices architecture, event-driven systems, and integration between industrial (OT) and enterprise IT systems using modern technologies. You will take full ownership of solutions from design and development to testing, CI/CD, and production support. 🗂️ Requirements: Minimum 5 years of professional software development experience, Strong experience with Java ecosystem, Proven experience in designing and building microservices, Hands-on experience with messaging and event streaming systems, Experience with REST and SOAP APIs and related protocols, Knowledge of security standards OAuth2, JWT, SAML, TLS, Experience with unit and integration testing, Hands-on experience with AWS or Azure or GCP, Experience with CI/CD and containerization, English proficiency at minimum B2 level 📃 Skills: Java, Kafka, JMS, MQTT, AMQP, REST, SOAP, OData, GraphQL, gRPC, JSON, XML, OAuth2, JWT, SAML, TLS, AWS, Azure, GCP, CI/CD, Docker, Kubernetes, HiveMQ, HighByte 🏢 Description: C&F is a technology services company providing innovative solutions in Data Management, Big Data, Advanced Analytics and Compliance . With a highly integrated team of 400+ experts , for over 20 years C&F has been delivering superior engineering and premium operations to Fortune 500 companies, primarily in the Life Science industry. 🌍 We build and run the core data platforms for global companies . Our team designs high-performance, resilient systems that solve complex challenges in Enterprise Integration, and the Industrial Internet of Things (IIoT). We are looking for a top-tier Integration Engineer, a key technical expert to join our team and help us build these mission-critical, globally distributed solutions. This is a chance to work on challenging projects at a global scale, using modern technology without the burden of legacy code. 📝 You will be responsible for: Designing and building high-performance, mission-critical integration platforms using modern programming languages Building and operating globally distributed systems designed for High Availability across AWS, Azure, and GCP Designing and developing solutions based on a microservices architecture Integrating industrial systems (OT) with enterprise IT, using platforms like HiveMQ and HighByt e alongside event-streaming technologies like Kafka Taking full ownership of your work—from design and coding to automated testing, CI/CD, and production support 👉 What you will need: At least 5 years of professional experience in software development plus a hands-on approach to owning and delivering complete solutions Strong experience with the Java ecosystem Proven experience designing and building microservices Experience with messaging & event streaming: Kafka, Azure Event Hub, JMS, MQTT, AMQP Experience with APIs & protocols: REST, SOAP, OData, GraphQL, gRPC, JSON, XML, Kafka, MQTT Experience with Security standards: OAuth2, JWT, SAML, TLS and API management Demonstrated expertise in writing comprehensive unit and integration tests ; you believe in and practice a culture of high code coverage Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) Solid experience with DevOps practices, including CI/CD and containerization Very good command of English (level B2 is a must) Nice to have: Experience with IoT data integration and building UNS Familiarity with IoT protocols (MQTT, OPC-UA) and IoT platforms (HighByte Intelligence Hub, Ignition, Litmus, Node Red) Experience in Python An interest in AI/ML and its applications in enterprise data Strong understanding of Agile methodologies Strong communication and presentation skills are important, along with the ability to build rapport and credibility with stakeholders ✨ What we offer: You choose your employment type – we’re open to both employment contracts and B2B arrangements. Learning & development opportunities – after your probation period, you’ll have access to a highly flexible and generous English language reimbursement program, along with an individual development budget to use as you see fit. Classic benefits like private medical care, a sports card, and a preferential life insurance plan. Plus, our infamous Fruit Tuesdays and a special summer bonus – ice cream. A hybrid work setup with plenty of flexibility. Delivery teams work mostly remotely. Support teams come to the office at least once a week – as an HR team, we meet every Wednesday. On other days, you decide where you work. A bunch of non-work activities , including Office Day (a fun-filled day when employees from all over Poland gather at the office), POP UP integrations,  various competitions from cooking to photography, and the chance to submit charity causes to our CF4GOOD program, which provides support to those in need. A workplace that values people and is built on collaboration, not competition. If you’re tired of toxic work environments, you’ll finally get a chance to breathe. And if you’ve been lucky with great employers so far, we’ll do our best to keep that streak going.

🏢 Summary: Full-time Data Engineer role focused on leading the data lifecycle strategy, transforming and governing large-scale datasets, and integrating advanced analytics and machine learning models into a production data infrastructure. The position involves building high-quality, traceable data architectures and enabling real-time, data-driven decisions for government-related markets. Based in Pittsburgh, PA, with limited travel requirements. 🗂️ Requirements: U.S. Citizenship, Bachelor’s degree in Computer Science, Mathematics, or related technical field, 3–5 years of experience programmatically transforming data, Experience with RDBMS, Advanced SQL programming skills, Proficiency with CSV, XML, and JSON data formats, Strong analytical skills and attention to detail, Ability to work independently with minimal supervision 📃 Skills: SQL, RDBMS, CSV, XML, JSON, AWS, DataModeling, DataGovernance, ETL, MachineLearning 🏢 Description: Company Description Air is the leader in Enterprise Readiness. Our mission is to establish readiness as a real-time condition that is continuously achieved. Today, a dangerous Readiness Gap exists between what the front line needs and what is delivered. Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and sustainment into one coordinated execution system for government agencies and industrial suppliers. By revealing true capacity, exposing real constraints, coordinating resources, and executing at the speed of operational demands, the front line gets what it needs to succeed. Job Description We are seeking an exceptional and experienced data engineer who shares our passion and obsession with quality. You'll be a core member of our product and engineering team dedicated to helping our clients replace time-consuming, manual processes to reach informed real-time decisions about government markets, competitors, and agency relationships. We need a skilled and dedicated data engineer to join our team to lead us in uncovering truth and meaning in data. You must be a hands-on engineer with a strong understanding of both data management and governance standards. You must also have strong interpersonal skills to work cross-functionally across internal teams as well as directly with end users and platform SMEs. This role is a full-time position located out of our office in Pittsburgh, PA. This role may require up to 10% travel. Scope of Responsibilities Define and lead the data lifecycle strategy across data acquisition, data ingestion, data cleansing, normalization and linkage. Ensure key entities within datasets are identified, resolved and linked to existing entities within the current master data repository. Apply various techniques to produce solutions to large-scale optimization problems, including data pre-processing, indexing, blocking, field and record comparison and classification. Improve data sharing, increase data repurposing and improve cost efficiency associated with data management efforts. Build best practices that help with chain of custody of data so it can be easily traced back to the source for accuracy and consistency. Work across functional teams to understand advanced statistical, machine learning, and text processing models and incorporate them into the existing data engineering infrastructure. Perform exploratory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns. Work directly with users as well as SMEs to establish, create and populate optimal data architectures and structures, as well as articulate techniques and results using non-technical language. Qualifications U.S. Citizenship is required. Bachelor's degree in Computer Science, Mathematics or a related technical field. Required Skills: 3-5 years experience with programmatically transforming data. Experience with RDBMS. Advanced SQL programming skills. Proficient usage of common data formats such as CSV, XML, and JSON. Strong analytical ability and attention to detail. Ability to work independently with little supervision. Desired Skills: Current possession of a U.S. security clearance, or the ability to obtain one with sponsorship. Experience using Amazon Web Services. Working knowledge with large (multiple terabytes) amounts of data. Air is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

🏢 Summary: The offer is for a Data Scientist responsible for designing, building, and deploying machine learning and AI solutions that drive marketplace performance at scale. The role covers end-to-end model development, from problem formulation to production, using advanced statistical methods, deep learning, and Generative AI on large-scale data in cloud environments. You will work closely with data engineers and business stakeholders to deliver impactful, production-grade ML systems. 🗂️ Requirements: Experience in data analysis using SQL, Experience building and deploying ML models in production environments, End-to-end experience designing machine learning models, Ability to translate business problems into ML solutions, Strong communication skills with business stakeholders, Experience with ML and AI, especially LLMs, Proficiency in Python, Understanding of statistical and machine learning methods, Practical and theoretical knowledge of Generative AI and Agentic AI, English and Polish proficiency at B2+ level, Degree in Mathematics, Physics, Economics, Computer Science or related field, or equivalent ML/Data Science experience 📃 Skills: Python, SQL, GCP, BigQuery, VertexAI, CloudComposer, Dataflow, Airflow, PySpark, LLM, GenAI, AgenticAI, DeepLearning, Bayesian, Boosting, CausalInference, Optimization, Kubernetes, Docker, Consul, GitHub, GitHubActions, Gemini, GPT 🏢 Description: Data Scientist Location: Warszawa, PL, 00-841 Company: Allegro sp. z o.o. Team: Technology Contract Type: Employee We are looking for a Data Scientist with a strong analytical mindset - someone who enjoys decoding market mechanisms and applying statistical models to solve complex platform puzzles. Our team drives the logic that powers a trustworthy and competitive marketplace. As part of the Tech organization dedicated to delivering the best experiences for our sellers, we specialize in data solutions focused on driving their growth - particularly through optimizing price competitiveness, expanding product selection, and supporting strategic campaigns. Composed of Data Scientists, Data Engineers, and Analysts, we develop statistical models and rules to measure and improve our products and services. We work in close collaboration with developers and product teams across the entire project lifecycle, from ideation to implementation. Our ultimate goal is to create a seamless experience where partners can rely on fair visibility rules, and Customers can trust every product detail they see on the platform. The brain of the entire Allegro. Here, we implement projects based on a practical application of artificial intelligence and Data Science on a scale unprecedented in Poland. In order to effectively implement ML solutions and automate existing processes, we need the support of inquisitive, experienced, and data-driven individuals. The ones willing to be up to date on newest algorithms and advancements in AI, from new deep learning architectures, explainable AI and GenAI but still grounded and aware of statistics and predictive modelling. In Allegro you will work with solutions from prototypes to create stable, high-performance solutions and combine these services with batch and stream processing analyzing real BigData (also in the public cloud). What will your job involve? Co-creating projects on each stage - from concept to productization - to deliver insights and models solving business problems from different areas Using a wide range of model types, including boosting models, Bayesian methods, causal inference, optimization methods, deep learning and Generative AI solutions including LLMs and Agentic AI Working hand-in-hand with our Data Engineers who support the heavy-lifting of data processing on GCP Working not only with tabular data, but also with spatial data, natural language texts, images and time series Taking part in implementations of off-line and on-line models Brainstorm, provide mentorship, share knowledge Cooperation with other teams: business stake-holders, analytics, data engineers Why should you work with us? Data Science plays a key role in the operation of Allegro - we are a data-driven technology company, and through the models and analyses provided you will have a significant impact on one of the largest eCommerce platforms in the world You will have a possibility of developing AI tools from prototypes to large production solutions that will have real impact on our users, merchants and employees. Thanks to the wide range of projects we carry out, you will never run out of interesting challenges Support of experienced Data Scientists - there is always someone to exchange ideas with, because we have the best specialists and experts in their field on board You will have access to huge data sets and the latest data processing technologies You will have the opportunity to learn the tools and technologies in practice: Python (including various ML libraries), GCP environment (BigQuery, VertexAI, Cloud Composer, Dataflow), Airflow, PySpark, Gemini/GPT models You will learn good programming, engineering and code management practices We share our knowledge at industry conferences and trainings, we are an active participant and co-creator of the Data Science / Machine Learning community in Poland and in the world Our offer is addressed to people who: Have experience in data analysis using SQL and building machine learning solutions in production environments, especially with end-to-end experience in designing ML models Want to translate business challenges into ML problems Can clearly communicate with business units - from formulating an analytical problem to a clear and intuitive presentation of results Have experience with ML and AI (especially LLMs) Are highly independent, showing strong work organization and taking full responsibility for their given projects Program in Python and efficiently use basic development tools Understand statistical and machine learning methods Embrace modern tooling, specifically possessing practical and theoretical knowledge of Generative AI and Agentic AI principles (coding tools, prompting, validation). The ideal candidate enthusiastically leverages GenAI coding tools (like Copilot) to boost and automate workflows,  remaining up-to-date and critically engaged with the newest GenAI tooling. Speak English and Polish at a B2+ level or higher Graduated with a degree strongly related to statistical/mathematical modeling, such as Mathematics, Physics, Economics, Computer Science (or similar major) or have job experience in data science / ML positions What's in it for you: Flexible working hours in the hybrid model (4/1) - working hours start between 7:00 a.m. and 10:00 a.m. We also have 30 days of occasional remote work. Annual bonus based on your annual performance and company results. Well-located offices (with e.g. fully equipped kitchens, bicycle parking, terraces full of greenery) and excellent work tools (e.g., raised desks, ergonomic chairs, interactive conference rooms). A 16" or 14" MacBook Pro or corresponding Dell with Windows (if you don't like Macs) and all the necessary accessories. A wide selection of fringe benefits in a cafeteria plan - you choose what you like (e.g., medical, sports or lunch packages, insurance, purchase vouchers). English classes that we pay for related to the specific nature of your job. A training budget, inter-team tourism ( see more here ), hackathons, and an internal learning platform where you will find multiple trainings. An additional day off for volunteering, which you can use alone, with a team, or with a larger group of people connected by a common goal. Social events for Allegro people - Spin Kilometers, Family Day, Fat Thursday, Advent of Code, and many other occasions we enjoy. And that's just the beginning! You can read more about the benefits here . #goodtobehere means that: You will join a team you can count on - we work with top-class specialists who have knowledge- and experience-sharing in their DNA. You will love our level of autonomy in team organization, the space for continuous development, and the opportunity to try new things. You get to choose which technology solves the problem and you are responsible for what you create. You will value our Developer Experience and the full platform of tools and technologies that make creating software easier. We rely on an internal ecosystem based on self-service and widely used tools such as Kubernetes, Docker, Consul, GitHub, and GitHub Actions. Thanks to this, you can contribute to Allegro from your very first days on the job. You will be equipped with modern AI tools to automate repetitive tasks, allowing you to focus on developing new services and refining existing ones (also leveraging AI support). You will create solutions that will be used (and loved!) by your friends, family and millions of our customers. You will meet the Allegro Scale, which starts with over 1000 microservices, an open-source data bus (Hermes) with 300K+ rps, a Service Mesh with 1M+ rps, tens of petabytes of data, and production-used machine learning. You will become part of Allegro Tech - We speak at industry conferences, cooperate with tech communities, run our own blog (it's been over 10 years!), record podcasts, lead guilds, and we organize our own internal conference - the Allegro Tech Meeting. We create solutions we love (and can) to talk about! Send us your CV and… see you at Allegro!

🏢 Summary: Staff Engineer role focused on designing and building a large-scale Data Management Platform and APIs for real-time sports data across 200+ competitions. The position involves leading architecture and technical standards, working with distributed systems, and collaborating across teams to deliver scalable, high-quality solutions. The engineer will act as a tech lead, driving clean architecture and modern development practices. 🗂️ Requirements: Advanced TypeScript/JavaScript proficiency, Strong understanding of HTTP/HTTPS protocols, Experience with REST APIs, gRPC and WebSockets, Hands-on experience writing automated tests, Experience designing highly scalable distributed systems, Ability to lead technical architecture and standards, Experience with AWS services, Experience with Docker and Kubernetes 📃 Skills: TypeScript, JavaScript, HTTP, HTTPS, REST, gRPC, WebSockets, AWS, S3, EC2, VPC, ElastiCache, MSK, Docker, Kubernetes, Testing, APIs, DistributedSystems 🏢 Description: We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business. Job Description At Sportradar, we power the global sports ecosystem with data that drives decisions in real time. As a Staff Engineer in our Data Acquisition Unit , you’ll help shape the systems behind this data—working on large‑scale, distributed platforms that collect and deliver sports data across more than 200 competitions. This is a role for experienced engineers who want their work to matter. You’ll have the autonomy to influence architecture and technical standards, the support to work with modern technologies and strong engineering practices, and the opportunity to collaborate with talented teams in an open, respectful environment. As we continue to grow, you’ll scale not just systems, but the future of how sports data is built and delivered globally. THE CHALLANGE: Design and build a Data Management Platform and APIs for sports oriented real-time data from a variety of complex sources, showcasing your adaptability to different protocols and technologies. Assume the role of a tech lead demonstrating breadth and depth of your experience. Collaborate with users, architects, managers and fellow engineers to innovate and refine the product. Utilize advanced knowledge in TypeScript/JS, and modern development practices to lead and guide the team in organizing themselves around optimal solutions. Be a the quality advocate for and proponent of clean code and clean architecture. ABOUT YOU EXPECTATIONS: Advanced TypeScript/JavaScript skills Understanding of network protocols such as HTTP/HTTPS, including response statuses, headers, request methods, cookies, etc. Familiarity with gRPC, REST API & WebSockets Hands-on experience in writing tests Experience in designing and working on highly scalable systems Demonstrated can-do attitude, You take pride in your own work while remaining a team player DESIRABLE: Familiarity with various AWS services including S3, EC, VPC, ElastiCache, MSK, etc Experience with Docker and K8s Worked on Agile development teams Hands-on experience with AI coding tools NICE TO HAVE: Experience with Fronted design/UX OUR RECRUITMENT PROCESS: Initial Screening - a short introductory conversation with our Talent Acquisition Partner to discuss your background, experience, and expectations. Technical Task - a take‑home coding assignment designed to reflect real, day‑to‑day work. You can complete it at your convenience, and you are welcome to use AI tools as part of your approach—just be prepared to explain your reasoning and decisions. Technical Interview (120 minutes) - an in‑depth discussion of your submitted task, including a walkthrough of your solution, your thought process, live coding exercises, and a high‑level system design discussion. Cultural Fit Interview (45 minutes) - a conversation with Senior Management and the Product Manager to explore your collaboration style, ability to work in a matrix organization, and alignment with our ways of working. Finals Steps: Receive feedback and, if successful, an offer! OUR OFFER: A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and US) including various social events and teambuilding. Flexibility to manage your workday and tasks with autonomy. A balance of structure and autonomy to tackle your daily tasks. Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants. Global Employee Assistance Programme. Calm and Reulay app (leading well-being apps designed to support focus, quality rest, mindfulness, and long-term mental resilience). Online training videos. Flexible working hours. Additional Information At Sportradar, we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs, facilities, and employment opportunities. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) – we believe skills evolve over time. If you’re willing to learn and grow with us, we invite you to join our team!