Staff Engineer

🏢 Summary: As a Senior Software Engineer in the Data Products department, you will build and scale high-performance data products and pipelines that power AI Search and ML models across multiple markets. The role focuses on designing Kafka-based data pipelines, managing ETL processes, and enhancing data infrastructure in a global, cross-functional environment. You will directly impact the evolution of data-driven recruitment solutions. 🗂️ Requirements: Proficiency in Java, Practical knowledge of Airflow or similar orchestration tools, Experience with Kafka (MSK), Strong knowledge of SQL, Experience with Big Data, Experience with Data Warehousing, Experience with ETL, English proficiency at B2 level or higher 📃 Skills: Java, Kafka, MSK, Airflow, SQL, BigData, DataWarehousing, ETL, AWS, Glue, EMR, ECS, Docker, Redshift, DynamoDB, S3, Terraform 🏢 Description: Who we are At The Stepstone Group, we have a simple yet very important mission: The right job for everyone. Using our data, platform, and technology, we create opportunities for job seekers and companies around the world to find a perfect match, in a fair and equitable way. With over 20 brands across 30+ countries, we strive for fair and unbiased hiring. At our Tech Hub, located near Wilanowska Metro, we are more than 300 ambitious specialists working on the development of our IT products. We are proud to be part of The Stepstone Group, a global expert in job-tech platforms and e-recruiting. Join our team of 4,000+ employees and be part of reshaping the labour market and becoming the world’s leading job-tech platform. Job Description The job at a glance As a Senior Software Engineer, you’ll be responsible for building innovative data products that help recruiters find the right talent. You will design and implement high-performance applications using Kafka, while collaborating with cross-functional international teams. Working in the Data Products department , your work will directly power AI Search and ML models across multiple markets. This is so important to us. By joining our team, you will play a vital role in reshaping the labour market, helping it work for everyone, regardless of background. Your responsibilities Build and evolve data products that serve as the backbone for job listing data across Stepstone’s global platform Design and implement high-performance data pipelines using Kafka Collaborate with cross-functional teams to deliver impactful data engineering solutions Manage and improve ETL pipelines and data orchestration across a rich ecosystem of data sources Continuously improve and scale our data infrastructure to support a growing number of use cases and markets Qualifications Your skills and qualifications Proficiency in coding with Java Practical knowledge of Airflow or similar orchestration tools Experience working with Kafka (MSK) Strong knowledge of SQL Experience with Big Data, Data Warehousing, and ETL Nice to have / you may also bring: Experience with AWS services (e.g. Glue, EMR, ECS with Docker, Redshift, DynamoDB, S3) Familiarity with Infrastructure as Code tools such as Terraform Strong communication skills in English (B2+ level) A passion for data-driven solutions that make a real impact 👉 You don’t need to meet every requirement to apply — we’re happy to support your growth in areas that are new to you. Additional Information Your benefits We’re a community here that cares as much about your life outside work as how you feel when you’re with us. Because your job shouldn’t take over your life, it should enrich it. Here are some of the benefits we offer: Premium medical and dental care Life insurance Flex Benefits – Worksmile Cafeteria System (Multisport, vouchers, tickets, etc.) Employee Referral Program Hackathons, Knowledge Sharing Hours, in-house projects Tech and sport communities Events and integration parties Charity initiatives, 2 extra volunteer days English/German classes Game room and chillout zone Our commitment Equal opportunities are important to us. We believe that diversity and inclusion at The Stepstone Group are critical to our success as a global company, so we want to recruit, develop, and keep the best talent. We encourage applications from everyone, regardless of background, gender identity, sexual orientation, disability status, ethnicity, belief, age, family or parental status, or any other characteristic.

🏢 Summary: The role focuses on integrating security tools with DevOps pipelines and cloud infrastructure while leveraging AI coding agents and Model Context Protocol (MCP) to automate workflows and enhance security governance. You will build backend integrations, APIs, and cloud-based applications to support SOC, GRC, and AppSec teams, embedding security into CI/CD and Infrastructure as Code. The position combines DevSecOps, AI-driven automation, and security data engineering to deliver intelligent reporting and secure development processes. 🗂️ Requirements: Experience integrating security tools with DevOps pipelines, Hands-on experience with AI coding agents and MCP or similar LLM tool-integration frameworks, Strong knowledge of AWS and Azure cloud platforms, Experience with container orchestration technologies, Proficiency in Python and Bash scripting, Experience implementing Infrastructure as Code using Terraform or CloudFormation, Ability to build security dashboards and reporting solutions, Experience collaborating with SOC, GRC, and AppSec teams 📃 Skills: Python, Go, Bash, PowerShell, Java, Terraform, CloudFormation, AWS, Azure, GitHub, Bamboo, Bitbucket, MCP, Grafana, Kibana, WIZ, SentinelOne, Obsidian, CI/CD, DevSecOps, IaC, Docker, Kubernetes 🏢 Description: Who we are At The Stepstone Group, we have a simple yet very important mission: The right job for everyone. Using our data, platform, and technology, we create opportunities for job seekers and companies around the world to find a perfect match, in fair and equitable way. With over 20 brands across 30+ countries, we strive for fair and unbiased hiring. At our Tech Hub, located near Wilanowska Metro, we are here as more than 300 ambitious specialists who work on the development of our IT products. We are proud to be part of The Stepstone Group, a global expert in job-tech platforms and e-recruiting. Join our team of 4,000+ employees and be part of reshaping the labour market and becoming the world’s leading job-tech platform. Job Description Join our team and you’ll be responsible for integrating security tools with our technology stack and CI/CD pipelines, while leveraging AI coding agents and the Model Context Protocol (MCP) to automate workflows and accelerate development. Working in the Security Engineering / DevSecOps department you will support SOC, GRC, and AppSec teams by building intelligent integrations, automating security data processing, and delivering insightful reporting dashboards. This is so important to us. By joining our team, you will be playing a vital role as together we reimagine the labour market to make it work for everybody. Your Responsibilities Develop, optimize, and maintain backend integrations using modern scripting languages and AI coding agents to accelerate delivery and prototyping. Design and implement APIs and cloud-based applications for the GRC department, including building and maintaining MCP servers/tools that securely expose internal security data and APIs to AI agents. Integrate security solutions into CI/CD pipelines to enhance governance, ensuring AI-generated code is automatically scanned and validated. Leverage data to support IT-GRC risk reporting, using AI agents to parse and structure complex security logs. Collaborate with cross-functional teams to ensure seamless integration and continuous improvement across platforms and workflows. Implement Infrastructure as Code (IaC) using Terraform and AWS CloudFormation, contributing to internal modules and embedding security-by-design principles into AI-driven templates and automation. Qualifications Strong experience integrating security tooling with DevOps pipelines and infrastructure automation, including collaboration with SOC, GRC, and AppSec teams to deliver automated workflows and reporting. Experience working alongside AI coding agents and familiarity with the Model Context Protocol (MCP) or similar frameworks for extending LLM capabilities with external tools and data sources. Solid knowledge of cloud platforms (AWS, Azure) and container orchestration technologies. Proficiency in scripting languages such as Python and Bash for automating tasks, processes, and building security data pipelines. Experience building dashboards and reports for security data visualization and metrics, with the ability to operate effectively in fast-paced, ambiguous environments. Additional Information Technology Stack 💻 AI & Tooling: AI Coding Agents , Model Context Protocol (MCP) ecosystems Languages: Python / Go / Bash / PowerShell / Java Infrastructure: Terraform CI/CD: GitHub / Bamboo / Bitbucket Cloud: AWS / Azure Security: WIZ, SentinelOne, Obsidian, etc. Observability: Grafana / Kibana Your benefits We’re a community here that cares as much about your life outside work as how you feel when you’re with us. Because your job shouldn’t take over your life, it should enrich it. Here are some of the benefits we offer: Premium medical and dental care Life insurance Flex Benefits - Worksmile Cafeteria System (Multisport, vouchers, tickets etc.) Employee Referral Program Hackathons, Knowledge Sharing Hours, In-house projects Tech and sport communities Events and integration parties Charity initiatives, 2 extra volunteer days English/German classes Game room and chillout zone Our commitment Equal opportunities are important to us. We believe that diversity and inclusion at The Stepstone Group are critical to our success as a global company, so we want to recruit, develop, and keep the best talent. We encourage applications from everyone, regardless of background, gender identity, sexual orientation, disability status, ethnicity, belief, age, family or parental status, and any other characteristic.

🏢 Summary: Backend Engineer role in Team Mélange focused on building and operating AI- and rule-based parsing and normalization services that transform unstructured job and CV data into structured signals. The position involves developing scalable backend systems and event-driven data pipelines consumed as APIs across the organization. You will own services end-to-end, ensuring quality, reliability, and continuous improvement. 🗂️ Requirements: Proficiency in Java and/or Python, Experience with backend service and API development, Knowledge of distributed systems, Experience with event-driven architectures, Experience with Kafka, Ability to design, test, deploy, and monitor services, Experience with automated testing 📃 Skills: Java, Python, Kafka, APIs, Microservices, DistributedSystems, EventDrivenArchitecture, AutomatedTesting 🏢 Description: Company Description At The Stepstone Group, we have a simple yet very important mission: The right job for everyone. Using our data, platform, and technology, we create opportunities for job seekers and companies around the world to find a perfect match, in a fair and equitable way. With over 20 brands across 30+ countries, we strive for fair and unbiased hiring. At our Tech Hub, located near Wilanowska Metro, we are more than 300 ambitious specialists working on the development of our IT products. We are proud to be part of The Stepstone Group, a global expert in job-tech platforms and e-recruiting. Join our team of 4,000+ employees and be part of reshaping the labour market and becoming the world’s leading job-tech platform. Job Description The job at a glance Team Mélange builds AI- and rule-based parsing and normalization solutions that turn unstructured job and CV data into structured signals used across the Stepstone marketplace. Our services are consumed as APIs by teams across the organisation. Join our team and you’ll help build, scale, and operate these services. Working in the Mélange team you will contribute to backend systems that power data processing across the organisation, working closely with engineers across multiple domains. This is so important to us. By joining our team, you will play a vital role as we reimagine the labour market to make it work for everybody. Your responsibilities Build and maintain backend services and APIs using Java and Python Work on event-driven data pipelines based on Kafka Take ownership of services end-to-end: design, testing, deployment, monitoring, and iteration Ensure code quality, including writing and maintaining automated tests Collaborate with Software Engineers, ML Engineers, and a Product Manager in a distributed, international team Qualifications Your skills and qualifications You write clean, testable backend code in Java and/or Python You are comfortable working with distributed systems and event-driven architectures (or willing to grow in this area) You take ownership of services across their full lifecycle You care about code quality, including automated testing You have a pragmatic mindset and focus on delivering working solutions 👉 You don’t need to tick every box to apply – we value different perspectives and are happy to support your growth in areas that are new to you. Additional Information Software/Hardware Mac/Dell laptop Windows/macOS system 2 monitors (24", 27", or 32") Adjustable desks Slack + Teams Atlassian tools: JIRA, Confluence Your benefits We’re a community that cares as much about your life outside work as how you feel when you’re with us. Because your job shouldn’t take over your life — it should enrich it. Here are some of the benefits we offer: Premium medical and dental care Life insurance Flex Benefits – Worksmile Cafeteria System (Multisport, vouchers, tickets, etc.) Employee Referral Program Hackathons, Knowledge Sharing Hours, In-house projects Tech and sport communities Events and integration parties Charity initiatives and 2 extra volunteer days English/German classes Game room and chillout zone Our commitment Equal opportunities are important to us. We believe that diversity and inclusion at The Stepstone Group are critical to our success as a global company, so we want to recruit, develop, and keep the best talent. We encourage applications from everyone, regardless of background, gender identity, sexual orientation, disability status, ethnicity, belief, age, family or parental status, and any other characteristic.

🏢 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 offer is for a Data Engineer role focused on designing and optimizing cloud-based data solutions in AWS and Azure to support healthcare data projects. The position involves building scalable ETL pipelines, improving data architecture, and contributing to cloud migration initiatives. The role is based in Warsaw within a growing data engineering team working on advanced data platforms. 🗂️ Requirements: 3–6 years of experience in data engineering, Experience with ETL, data integration and data modeling, Strong knowledge of AWS or Azure cloud services, Experience with Azure Databricks, Data Lake, Data Factory, Glue, Synapse, Snowflake or AWS Redshift, Proficiency in Python, Proficiency in SQL, Familiarity with CI/CD tools, Understanding of DevOps concepts, Knowledge of data integration and data quality principles, English proficiency at B2 level or higher 📃 Skills: AWS, Azure, Databricks, DataLake, DataFactory, Glue, Synapse, Snowflake, Redshift, Python, SQL, ETL, CI/CD, DevOps 🏢 Description: Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your role Join Capgemini and help shape the future of healthcare data. As a Data Engineer, you’ll design and optimize cloud-based data solutions that power critical insights and improve patient outcomes. Your work will directly contribute to projects that make a real difference. Join Our Growing Data Engineering Teams in Warsaw! Capgemini is expanding its database-focused teams located in this office. We are looking for talented Data Engineers to join us in shaping innovative solutions for our clients. If you are passionate about data, cloud technologies, and building scalable systems, we have exciting opportunities for you! As part of our team, you will work on cutting-edge projects, collaborate with experts, and contribute to delivering high-quality data solutions in a dynamic and supportive environment. Ready to take the next step in your career? Apply now and become part of our growing data engineering community in Warsaw! Your tasks Design, implement, and maintain data processing solutions in AWS and Azure environments. Build and optimize ETL pipelines and data integration workflows. Develop and maintain data pipelines using Azure Data Factory, Synapse, and Databricks. Ensure data quality, security, and compliance standards across all solutions. Collaborate with analysts, business stakeholders, and cross-functional teams to deliver reliable data solutions. Support data architecture improvements and cloud migration projects. Your profile 3-6 years of experience in data engineering (ETL, integration, modeling). Strong knowledge of AWS or Azure, or both services (Azure Databrick, Data Lake, Data Factory, Glue, Synapse, Snowflake, AWS Redshift). Proficiency in Python and SQL. Familiarity with CI/CD tools and basic DevOps concepts. Understanding of data integration and data quality principles. English at B2 level or higher. Healthcare or fintech/pharma project experience is a plus. What You'll love about working here Practical benefits: private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and 40+ options on our NAIS benefit platform, including Netflix, Spotify or Sports card. Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, TED Talks and Udemy Business materials and trainings. Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details. Get to know us Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued. Do you want to get to know us better? Check our Instagram — @capgeminipl or visit our Facebook profile — Capgemini Polska . You can also find us on YouTube . About Capgemini Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion.

🏢 Summary: Senior Data Platform Engineer role focused on building and optimising a cloud-native lakehouse platform for large-scale analytics and reporting. The position involves designing distributed data pipelines, enabling self-service analytics, and implementing governance and observability frameworks using modern data technologies. You will work with Spark-based systems and integrated data warehousing solutions to deliver scalable, reliable data platforms. 🗂️ Requirements: Strong programming skills in Python, Strong programming skills in SQL, Hands-on experience with Apache Spark in production environments, Experience with Delta Lake and/or Apache Iceberg in production, Practical experience with dbt for data transformations, Experience with Databricks and Snowflake, Understanding of data governance and lineage in large-scale environments, Familiarity with Kubernetes and Docker, Experience with CI/CD and automated testing practices, Ability to participate in on-call rotations 📃 Skills: Python, SQL, Spark, Delta, Iceberg, dbt, Databricks, Snowflake, Kubernetes, Docker, CI/CD 🏢 Description: ABOUT THE COMPANY We are a global legal technology company that has been building software for the legal industry for over two decades. Our AI-powered cloud platform is used by leading law firms, Fortune 500 corporations, and government agencies worldwide to organise complex data, surface critical insights, and act on them — across litigation, investigations, regulatory inquiries, and data breach response. We're valued at $3.6 billion and invest over $170 million annually in R&D. We're making substantial investments in data lake technology and distributed systems to support future growth and advanced analytics. Our scale means the data problems here are genuinely hard — and the platforms you build will have real consequence across the organisation. ABOUT THE ROLE We're building a specialised team focused on enabling advanced analytics and reporting capabilities across our internal data ecosystem. As a Senior Data Platform Engineer, you'll combine strong software engineering principles with deep data expertise to build robust, cloud-native platforms that process large-scale datasets efficiently and enable internal teams to build reporting and analytics on top of them. The role emphasises cloud-native architecture, lakehouse integration, data warehousing, and governance best practices. You'll work on systems using Apache Spark, Delta Lake, and Iceberg, and help deliver curated data models and self-service analytics capabilities to internal stakeholders. You'll also participate in on-call rotations as part of shared team responsibility. WHAT YOU'LL WORK ON Data pipeline and distributed systems Design and implement scalable data pipelines and distributed systems using Spark and Python to process and transform large-scale datasets for analytics and reporting. Lakehouse platform development Develop and maintain lakehouse capabilities with Delta Lake and Iceberg, ensuring data reliability, versioning, and performance optimisation at scale. Analytics workflow enablement Integrate dbt for SQL transformations running on Spark. Collaborate with internal teams to deliver curated datasets and self-service analytics capabilities for reporting and advanced use cases. Data warehousing optimisation Integrate and optimise Databricks and Snowflake for scalable storage and query performance. Drive performance tuning and cost optimisation across Spark jobs and cloud-native environments. Governance and observability Implement observability and governance frameworks including data lineage, quality checks, and compliance controls. Build platforms that allow secure and compliant access to diverse data sources. Engineering best practices Apply and champion clean code, modular design, CI/CD, automated testing, and code review standards across all data engineering work. On-call participation Participate in on-call rotations as part of shared team responsibility for platform reliability. WHAT WE LOOK FOR Python and SQL Strong programming skills in both Python and SQL, applied to production data platform work at scale. Apache Spark Solid hands-on experience with Spark for distributed data processing, including performance tuning in production environments. Lakehouse architecture Expertise in Delta Lake and/or Apache Iceberg. You've applied these in production and understand the trade-offs in real-world scenarios. dbt and analytics tooling Practical experience with dbt for transformation workflows. Familiarity with Databricks and Snowflake for large-scale analytics workloads. Data governance and compliance Understanding of data governance, lineage tracking, and compliance requirements in large-scale, multi-tenant data environments. Infrastructure and containerisation Familiarity with Kubernetes, Docker, and infrastructure-as-code tools in cloud-native environments. Software engineering fundamentals Solid understanding of software engineering principles — CI/CD, automated testing, clean code, and modular design applied to data systems. Bonus Exposure to event-driven architectures and advanced analytics platforms. Experience enabling self-service analytics for internal stakeholders. Experience in Java, Scala, or Rust. THE TEAM You'll join a global engineering organisation working on a platform used by some of the world's largest legal teams. The culture is diverse, inclusive, and driven by high standards. Engineers here work on genuinely complex technical problems at scale — and are supported with the coaching, development, and tooling to keep growing. COMPENSATION & BENEFITS Salary 208,000 – 312,000 PLN per year, plus an annual performance bonus and long-term incentives. Health coverage Comprehensive health, dental, and vision plans. Parental leave Parental leave available for both primary and secondary caregivers. Flexible working Flexible work arrangements with a remote-first model. Company breaks Two week-long company-wide breaks per year, plus additional time off. Training investment Dedicated training investment programme to support ongoing professional development.

🏢 Summary: Software Engineer role focused on developing, automating, and supporting cloud-native applications and infrastructure within an agile team. The position involves building new services, enhancing existing systems, and managing cloud-based Linux and Windows environments using modern development and CI/CD practices. Strong emphasis is placed on SQL Server development and AWS-based deployments. 🗂️ Requirements: Master’s degree in Computer Science, Information Technology or equivalent experience, 3-4 years of experience with Python, SQL, HTML, CSS, JavaScript, jQuery, JSON, XML, Java, J2EE, Maven, Junit, Bash, PowerShell, 3-4 years of experience with SQL Server databases, 1-2 years of experience with AWS, Proficiency with Git and CI/CD practices, Experience with modern development tools and methodologies, Ability to develop, deploy, and troubleshoot cloud-based Linux and Windows systems 📃 Skills: Python, SQL, HTML, CSS, JavaScript, jQuery, JSON, XML, Java, J2EE, Maven, Junit, Bash, PowerShell, SQLServer, AWS, Git, CI/CD, Linux, Windows, Jira, Confluence, Agile, 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 Python, SQL, HTML, CSS, JavaScript, jQuery, JSON, XML, Java, J2EE, 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, jQuery, JSON, XML, Java, J2EE, 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, source control systems, 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 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 State Street's Speak Up Line Załącznik do standardu Whistleblowing i Speak Up SSBI GmbH dla Oddziału w Polsce

🏢 Summary: Hands-on Technical Lead Applications Engineer role focused on backend development of SaaS web applications and analytics data pipelines, with responsibility for architectural decisions and technical leadership. The position combines coding, system design, performance optimization, and cross-team coordination to deliver scalable, customer-facing products. It involves mentoring engineers and ensuring high-quality releases in a cloud-based environment. 🗂️ Requirements: BS/MS in Computer Science, Mathematics or Engineering, 7+ years of software engineering experience in a product company, 5+ years of experience developing web-based SaaS applications, Strong backend development experience, Proficiency in Python or Java or C++ or Ruby, Proficiency in SQL, Experience with relational databases, Experience with data pipelines, Experience with data streaming technologies, Experience with batch processing, Experience with AWS or Google Cloud, Experience in frontend and backend web development, Experience with automated unit testing, Experience conducting code reviews and technical design reviews 📃 Skills: Python, Java, C++, Ruby, SQL, AWS, GoogleCloud, SaaS, Databases, DataPipelines, DataStreaming, BatchProcessing, UnitTesting, WebDevelopment, Cloud 🏢 Description: At Jacobs , we're embarking on an exciting journey as we initiate the development of our Digital & Data Hub in the heart of Krakow. Our mission is to undertake projects spanning various industries, including Consumer and Manufacturing, Defence and Security, Energy and Utilities, Financial Services, Government and Public Services, Health and Life Sciences, and Transport. Jacobs has acquired StreetLight Data, a mobility analytics solution provider - marking the company’s second strategic acquisition in recent months and building on its strong foundation of existing technology and data capabilities. We are looking for a highly skilled Technical Lead Applications Engineer to join our growing team. This is a hands-on leadership role, primarily focused on back-end development of our SaaS web applications, with occasional involvement in front-end tasks. Beyond coding, you will set the technical direction for the team, make key architectural decisions, mentor junior engineers, and coordinate cross-team efforts to ensure high quality delivery. Key Responsibilities: Design, implement, and maintain customer-facing features, including both frontend and backend components, in the StreetLight SaaS web applications (InSight Planning and Insight Operations) and their analytics data pipeline Provide technical leadership and drive architectural decisions to ensure code quality, performance, and scalability Strong backend development experience including proficiency with relational databases Author and review technical designs, conduct thorough code reviews to uphold engineering excellence Deliver product releases and fixes to production as needed Interface among our San Francisco, Vancouver, Bangalore, and Eastern European teams, and mentor more junior engineers Write automated unit tests and participate in peer design and code reviews Collaborate as needed with the other developers and QA engineers on the team, as well as with Product Management Productize analytics models from the Data Science and Data Engineering team Tune StreetLight InSight Planning and Streetlight Insight Operations for performance, scalability, and reliable operation to serve our growing customer base Assist Support and Operations in resolving production issues when needed, and improve the product to avoid them in the future Here's what you'll need BS/MS in Computer Science, Mathematics, or an Engineering discipline from a top university 7+ years of experience as a Software Engineer at a software product company, preferable in an enterprise market 5+ years of experience developing web-based SaaS applications Competence and experience in both frontend and backend web development Strong problem solving and solution design skills Proficiency in Python (Java, C++ or Ruby experience can substitute for Python in a candidate who is open to learning new technologies) Proficiency in SQL and working with relational databases Competence and experience in handling data pipelines including experience with data streaming technologies and batch processes Experience working in cloud-deployed platforms such as AWS, Google Cloud Product and customer orientation Good communication skills - both written and verbal Quick learner, and a strong team player We offer: Rewarding employment: Full-time employment with a salary that matches your qualifications Hybrid work model: Enjoy the flexibility of working from home, with just several office days per month Comprehensive benefits: Including Lux Med medical care, psychological support, life insurance, My Benefit cafeteria system, Multisport card co-financing, and a car/bike park sharing system Co-financed holidays: Enjoy "Wczasy pod Gruszą" for a well-deserved break Global projects: Engage in exciting international projects Inclusive networks: Join our diverse employee networks like Women's Network, OneWorld, PRISM, Careers Network, Green Team, SpeakUp, Collectively, and more Continuous learning: Participate in our Graduate Development Program, Learners’ Community, and self-learning platforms Language courses: Enhance your skills with courses in English, German, and Polish We know that if we are inclusive, we’re more connected, and if we are diverse, we’re more creative. We accept people for who they are, regardless of age, disabilities, gender identity, gender expression, marital status, mental health, race, faith or belief, sexual orientation, socioeconomic background, and whether you’re pregnant or on family leave. Find out more about life at Jacobs. As a Disability Confident employer, we will interview all disabled applicants who meet the criteria for a vacancy. If you require further support or reasonable adjustments with regards to the recruitment process (for example, you require the application form in a different format), please contact the team recruitmentpoland@jacobs.com