Senior Data Engineer

🏢 Summary: Senior Big Data Engineer role focused on designing and optimizing large-scale data processing solutions using Spark and Scala within the financial sector. The position involves building resilient data pipelines, supporting production systems, and collaborating in Agile teams to deliver scalable data platforms. Hybrid work model based in Warsaw with up to two remote days per week. 🗂️ Requirements: 3-5 years experience in big data engineering, Strong expertise in Spark, Proficiency in Scala or Java, Knowledge of Python, Experience with DevOps practices, Experience with CI/CD tools, Understanding of microservices architecture, Fluent English, Legal right to work in the European Union 📃 Skills: Spark, Scala, Java, Python, DevOps, CI/CD, Microservices, Airflow, Git, Scrum, BigData 🏢 Description: Empower data-driven innovation — shape the future of financial technology! Warsaw-based opportunity with hybrid work model (up to 2 remote days per week). As a Senior Big Data Engineer (Spark/Scala) , you will be working for our client, a leader in structured finance within the global banking industry. You will contribute to building and optimizing a cutting-edge data platform that supports complex business processes and facilitates collaboration across multiple stakeholders in the finance sector. Join us to drive impactful data solutions that fuel digital transformation and open new avenues for growth. Your main responsibilities: Design and develop solutions for collecting, transforming, and processing large datasets efficiently. Analyze data from multiple sources and translate insights into technical specifications. Implement and industrialize reliable, scalable, and resilient data processing jobs using Spark and Scala. Conduct code reviews and collaborate with team members to ensure continuous improvement. Contribute to agile teams delivering value through Scrum cycles, supporting innovative project delivery. Stay up-to-date with evolving big data technologies and implement best practices. Support applications, troubleshoot production issues, and ensure high quality standards. Produce comprehensive technical documentation, test plans, and project artifacts. You're ideal for this role if you have: 3-5 years of professional experience in big data engineering, ideally within banking or finance. Strong expertise in Spark and Java or Scala, with additional knowledge of Python, DevOps, CI/CD tools, and microservices. Fluency in English (Polish and French are a plus). Analytical mindset with excellent problem-solving skills. Proactive attitude and strong teamwork skills across global teams. Effective communication skills and ability to work across different time zones. It is a strong plus if you have: Knowledge of Airflow, GIT, and modern data architecture strategies. Experience with Agile methodologies and delivering solutions in fast-paced environments. Language Required for the role: Fluent English (required) Eligibility for the role: Only candidates with an existing legal right to work in the European Union will be considered for this role. #MAKEYourCareerBETTER Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.

🏢 Summary: Remote B2B role focused on building and expanding a large-scale analytical and operational data ecosystem delivering campaign performance insights and investment decision support. The position involves developing high-throughput data pipelines, reporting engines, and attribution systems using a modern cloud-based stack. You will work on production-grade data models and scalable systems supporting millions of users. 🗂️ Requirements: Minimum 3 years commercial experience with Java or Kotlin or Scala, Experience with distributed data pipelines, Experience with data processing and analytics systems, Knowledge of GCP cloud environment, Experience with large-scale data systems, Understanding of microservices architecture, Understanding of event-driven systems, Knowledge of data modeling, Willingness to participate in on-call duties, Availability for monthly visits to Warsaw 📃 Skills: Java, Kotlin, Scala, GCP, BigQuery, PostgreSQL, Airflow, Composer, Spark, Spring, Kafka, Microservices, Avro, Terraform, Analytics, DataModeling 🏢 Description: Salary: 600-960 pln/md on B2B Work mode: Remote (with visits to Warsaw once a month and w illingness to participate in on-call duties) Why choose this offer? Work on a high-impact data ecosystem Exposure to large-scale data processing , advanced analytics, and production-grade data models Modern tech stack (GCP, Spark, Airflow, Kafka, microservices) Project Development and expansion of an advanced analytical and operational ecosystem . The project focuses on delivering precise campaign performance data (Insights & Performance) and building tools that support large-scale investment decision-making. It includes creating reliable reporting systems, data attribution models, and scalable data pipelines, ensuring high-quality data availability for professional users. Expected competences and knowledge At least 3 years of commercial experience with Java / Kotlin / Scala Solid understanding of data processing and analytics systems Experience with distributed data pipelines and orchestration tools Knowledge of GCP cloud environment Experience working with large-scale data systems (e.g. BigQuery, Spark) Familiarity with microservices architecture and event-driven systems Understanding of data modeling and data productionization Nice to have Knowledge of Apache ecosystem, Avro, Terraform Responsibilities you’ll have Designing and developing reporting engines and attribution systems (Insights & Performance) Building and maintaining high-throughput data pipelines Collaborating with Data Science teams to productionize advanced data models Ensuring scalability, reliability, and performance of data systems Developing internal tools (bulk management, agency panels, RBAC systems) Supporting complex account structures and permissions management Willingness to participate in on-call duties Technologies you'll work with Java / Kotlin / Scala GCP (BigQuery) PostgreSQL Apache Airflow / Composer Apache Spark Spring Boot Kafka Microservices architecture Apache, Avro, Terraform Client – why choose this particular client from the Jit portfolio? Our Client dominates the Polish e-commerce arena as the market leader since 1999 . With a user base of over 20 million and growing, this well-established platform is at the forefront of e-commerce, constantly striving for growth through market expansion and investment. As a major player in technology, our Client boasts a talented IT team of over 1,000 employees who focus on developing their own cutting-edge technologies. Jit Team has had a successful partnership with our Client since spring 2021 , with multiple software development teams dedicated to our Client's platforms. These teams operate autonomously, designing platform components through micro-services. Working with our Client offers a chance to contribute to a solution used by millions on a daily basis and to tackle the challenge of delivering software at a massive scale , where even a single second of delay can have a significant impact. This project provides a unique opportunity to work with state-of-the-art technologies and tools, making it a rare and valuable experience. About Jit Team The Human factor of IT - it's not just a slogan, it's a philosophy. The foundation of Jit Team is people, which is why we prioritise you. We employ over 700 experienced experts . We create highly specialised teams for clients from all over the world. We offer team members developmental projects, a wide range of benefits and a proprietary professional development programme. Behind our maxim are also charitable and educational activities. We support pupils and students by donating learning equipment. We offer internships to help launch careers in IT. We support water rescuers and hospitals by providing the necessary equipment. We are a Polish company and we share what we have achieved over 15 years of activity . By supporting indigenous initiatives, we ensure the circulation of good energy.

🏢 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: Senior Data Engineer role in the banking sector focused on building scalable Big Data solutions supporting Financial Crime Prevention processes. The position involves developing distributed data pipelines and streaming applications using Spark and Scala in a Continuous Delivery environment. It is a long-term hybrid project with an immediate start. 🗂️ Requirements: Senior-level experience in Big Data and ETL, Senior-level Scala proficiency, Senior-level Spark and Spark SQL expertise, Strong SQL knowledge, Experience with Data Testing, Practical experience with distributed large-scale data systems 📃 Skills: Scala, Spark, SparkSQL, SQL, ETL, BigData, DataTesting 🏢 Description: 📍 Location: Gdańsk / Gdynia / Warsaw (hybrid) 🚀 Start: ASAP 💶 Rate: 35–45 EUR/h About the role We are looking for a Senior Data Engineer to work on a long-term project for a leading client in the banking industry . In this role, you will implement complex data requirements and build scalable solutions that support the client’s Financial Crime Prevention processes . Responsibilities Build distributed Big Data processing pipelines handling large volumes of structured and unstructured data in near real-time Develop streaming applications connecting multiple internal and external data sources Transform and enrich data with Apache Spark for analytics, visualization, and search Deliver clean, high-quality datasets for downstream systems Work closely with DevOps, QA, and Product teams in a Continuous Delivery environment Requirements Experience with Big Data / ETL / SQL / Data Testing (Senior level) Senior-level Scala Senior-level Spark and Spark SQL Practical experience with distributed, large-scale data systems Recruitment process First interview: Conversation with our Talent Team Technical interview: Discussion with one of our developers Final interview: Meeting with the CTO

🏢 Summary: B2B role in a financial project focused on building and optimizing large-scale Big Data pipelines for analytical and regulatory reporting. The position involves designing and maintaining distributed data processing solutions using Hadoop and Spark ecosystems to ensure high data quality, scalability, and compliance. Work is delivered in an Agile (SAFe) environment with hybrid model from selected Polish cities. 🗂️ Requirements: Minimum 3 years of programming experience in Scala, Hands-on experience with Apache Spark for batch and distributed processing, Strong knowledge of Hadoop ecosystem (YARN, Sqoop, Hive, Oozie, Impala, MapReduce), Experience with ETL processes for large-scale data, Proficiency in SQL and working with large datasets, Experience with Linux Shell scripting, Knowledge of Git and CI/CD tools, Understanding of data modeling and performance tuning, Ability to work in Agile (SAFe) environment 📃 Skills: Scala, Spark, Hadoop, YARN, Sqoop, Hive, Oozie, Impala, MapReduce, SQL, Linux, Git, Jenkins, Bamboo, Ansible, ETL, EMR 🏢 Description: Salary: 1100 - 1300 PLN/day on B2B Work model: hybrid from Gdynia / Gdańsk / Warszawa / Łódź (3 days per week from the office) Why choose this offer? You can expect a flexible work organization The international work environment will give you the opportunity to interact with the English language on a daily basis Scandinavian organizational culture will provide you with work-life balance, you will gain time for additional training (financed by Jit) The Jit community will bring you a nice time during regular integration meetings Project You will be involved in a financial project focused on building and optimizing large-scale data processing pipelines for analytical and regulatory reporting . The main goal of the initiative is to consolidate, transform, and analyze financial and transactional data to support decision-making, compliance, and risk management. The project leverages support decision-making, compliance, a Big Data technologies to ensure high data quality, scalability, and performance across complex data ecosystems. Responsibilities you'll have Design, develop, and maintain data processing pipelines using Hadoop and Spark ecosystems Implement and optimize ETL (Extract, Transform, Load) processes for large volumes of financial data Collaborate with analysts, data scientists, and other developers to deliver high-quality, production-ready data solutions Ensure data integrity, accuracy, and security across distributed data systems Participate in code reviews , contribute to continuous integration and deployment (CI/CD) , and maintain development best practices Support and troubleshoot Big Data applications running in a multi-cluster environment (e.g., YARN, EMR) Work in an Agile (SAFe) team environment, participating in sprints, planning, and retrospectives Contribute to the continuous improvement of development processes and data platform architecture Expected competences and knowledge Strong programming experience in Scala (min. 3 years) Proven hands-on experience with Apache Spark for batch and distributed data processing Solid understanding of Hadoop ecosystem components (YARN, Sqoop, Hive, Oozie, Impala, MapReduce) Experience with Linux Shell scripting and automation Proficiency in SQL and working with large, complex datasets Knowledge of version control and CI/CD tools (Git, Jenkins, Bamboo, Ansible, etc.) Good understanding of data modeling, performance tuning , and data lifecycle management Strong problem-solving skills, ownership mindset, and ability to work in a collaborative team environment Nice to have: Familiarity with Java, Flink, Kafka , and streaming data pipelines Experience with SAFe Agile methodology and data analysis techniques Experience with functional programming techniques & principles Scala Familiarity with Data Analysis Technologies you'll work with Hadoop (YARN, EMR, Sqoop, Hive, Oozie, Impala, MapReduce) Spark SQL Client – why choose this particular client from the Jit portfolio? Jit Team has had an over-decade-long relationship with the leading financial group in the Nordic countries, and we are privileged to be our client's premier partner in Poland. At present, over 200 Jit personnel are engaged in the completion of more than 60 projects for this Norwegian major provider of financial services with a global presence and a strong focus on modern technology. Our customer's work atmosphere is epitomized by the Scandinavian culture , which is conducive to people who place emphasis on work-life balance and feedback culture . Furthermore, all projects are executed in international teams, giving constant exposure to the English language. About Jit Team The Human factor of IT - it's not just a slogan, it's a philosophy. The foundation of Jit Team is people, which is why we prioritise you. We employ over 700 experienced experts . We create highly specialised teams for clients from all over the world. We offer team members developmental projects, a wide range of benefits and a proprietary professional development programme. Behind our maxim are also charitable and educational activities. We support pupils and students by donating learning equipment. We offer internships to help launch careers in IT. We support water rescuers and hospitals by providing the necessary equipment. We are a Polish company and we share what we have achieved over 15 years of activity . By supporting indigenous initiatives, we ensure the circulation of good energy.

🏢 Summary: Junior-level role in a project building a high-performance, scalable messaging platform for financial institutions, focused on message transport, transformation, routing, and monitoring in a critical environment. The position offers hands-on experience with enterprise financial systems and development toward Java backend or DevOps paths. Work is in a hybrid model with on-call support in a time-sensitive setup. 🗂️ Requirements: Basic experience in Java, Interest in DevOps, Good command of English (spoken and written), Availability for on-call support (rotational shifts), Ability to work in time-sensitive environments, Problem-solving skills, Willingness to work on-site 2 days per week 📃 Skills: Java, Spring, SpringBoot, Kubernetes, OpenShift, Docker, ActiveMQ, IBMMQ, Elasticsearch, PostgreSQL, DB2, ArgoCD, GitOps, Incentage 🏢 Description: Salary: 252 - 350 PLN/ day net + vat (B2B/Civil contract) Remote: elastic hybrid from our office in Gdynia/Gdańsk (2 days per week on-site) Why choose this offer? International working environment High level of autonomy and collaboration within the team Scandinavian organizational culture supporting real work-life balance Opportunity to learn how financial products and markets operate Project You’ll join a project focused on building a robust, scalable, high-performance messaging platform for financial institutions. The system handles message transport, data transformation, routing, validation, sequencing, and monitoring. It’s a critical, high-throughput environment where reliability matters and attention to detail makes a real impact. Expected competences and knowledge Junior level with strong learning mindset): Basic experience in Java (commercial or solid personal projects) Interest in DevOps, with an eagerness to learn Good command of spoken and written English Problem-solving mindset and ability to react quickly to issues Responsibility and readiness to work in time-sensitive environments Openness to collaboration and knowledge sharing (tech + business teams) Availability for on-call support (morning/evening shifts on rotation) Nice to have: Spring Boot Kubernetes / OpenShift Docker Messaging systems (Apache ActiveMQ, IBM MQ) Elasticsearch Databases (PostgreSQL, DB2) GitOps (ArgoCD) Experience with low-code platforms (e.g., Incentage IMS) What you gain: Exposure to real-world, large-scale financial systems Fast learning curve in a complex enterprise environment Supportive team that helps you grow (no “figure it out alone” culture) Development path toward Java backend / DevOps / Site Reliability Engineer Technologies you'll work with Spring Boot Kubernetes / OpenShift Docker Messaging systems (Apache ActiveMQ, IBM MQ) Elasticsearch Databases (PostgreSQL, DB2) GitOps (ArgoCD) Low-code platforms (e.g., Incentage IMS) Client – why choose this particular client from the Jit portfolio? Jit Team is proud to partner with one of the leading European financial groups responsible for the registration, ownership records, and financial settlement of securities traded on financial markets in Norway and recently extended to other European markets. Jit Team has been a strategic partner to our client in the area of software development since 2017 . Over the course of the partnership, Jit Team's dedicated team working for our client has grown from three to over 30 people , who have worked on the modernization of legacy applications, the implementation of new systems, and the development of a private cloud-based platform to host a variety of financial systems . About Jit Team The Human factor of IT - it's not just a slogan, it's a philosophy. The foundation of Jit Team is people, which is why we prioritise you. We employ over 700 experienced experts . We create highly specialised teams for clients from all over the world. We offer team members developmental projects, a wide range of benefits and a proprietary professional development programme. Behind our maxim are also charitable and educational activities. We support pupils and students by donating learning equipment. We offer internships to help launch careers in IT. We support water rescuers and hospitals by providing the necessary equipment. We are a Polish company and we share what we have achieved over 15 years of activity . By supporting indigenous initiatives, we ensure the circulation of good energy.

🏢 Summary: The offer is for a Software Engineer (Data) role focused on building scalable data infrastructure and production-ready ML systems within an AI-driven environment. The position combines backend engineering, data engineering, and MLOps to design high-throughput pipelines and support AI solutions from experimentation to production. The role involves close collaboration with Data Science teams to shape architecture and engineering standards for next-generation data platforms. 🗂️ Requirements: 4+ years of software engineering experience, Strong proficiency in Python, Experience building scalable production systems, Experience with data-intensive applications and SQL databases, Knowledge of data modeling and query optimization, Experience with Terraform, Kubernetes, Docker or similar tools, Understanding of CI/CD pipelines and Infrastructure as Code, Experience implementing automated testing and clean architecture principles, Ability to productionize ML solutions with Data Science teams 📃 Skills: Python, MySQL, PostgreSQL, Spark, Terraform, Kubernetes, Docker, Airflow, SQL, CI/CD, AWS, Snowflake, DBT, MLOps 🏢 Description: Our client helps small teams power big businesses with the must-have platform for intelligent marketing automation. Customers from over 170 countries depend on the Client’s mix of pre-built automation and integration to power personalized marketing, transactional emails, and one-to-one CRM interactions throughout the customer lifecycle. We’re looking for a Software Engineer (Data) to join our client’s growing AI and Data organization and help build the scalable foundations behind next-generation data and ML systems. In this role, you won’t just be working with data infrastructure; you’ll be shaping the software architecture, engineering standards, and production-ready platforms that power the company’s AI ecosystem. This is more than a traditional backend or data engineering position. You’ll work at the intersection of software engineering, data, and AI, partnering closely with Data Science and AI teams to bridge the gap between experimentation and production. From designing resilient systems to building scalable MLOps pipelines, your work will directly influence how AI solutions are developed, deployed, and scaled across the organization. Key takeaways: Stack: Python, MySQL, PostgreSQL, Spark, Terraform, Kubernetes, Docker Salary : 20 000 - 23 000 PLN gross/month, Contract of employment (+10% annual bonus, 75% Creative Tax) Working model: Hybrid, once a week in the office Location: Krakow, ul. Konopnickiej Recruitment process: Call with MOTIFE recruiter (30 min) Interview with Hiring Manager (45 min) Technical interview, live coding (1h) Cross-functional interview (1h) Responsibilities: Design, develop, and maintain scalable high-throughput data pipelines across complex data ecosystems. Build and optimize data models, schemas, and database structures to ensure long-term scalability and performance. Implement engineering best practices, including automated testing, CI/CD pipelines, and Infrastructure as Code (Terraform). Partner closely with AI and Data Science teams to productionize machine learning solutions and develop scalable MLOps pipelines. Engineer and maintain feature stores and data infrastructure supporting AI-driven initiatives. Monitor, maintain, and improve the reliability and efficiency of containerized environments using Kubernetes, Docker, and Airflow. Ensure platform stability, observability, and operational excellence through proactive system monitoring and health checks. Collaborate cross-functionally with engineering and business stakeholders to translate complex technical concepts into actionable insights. Contribute to the architectural direction and scalability of the organization’s AI and data platforms. Drive the adoption of robust software engineering standards across data and infrastructure projects. Requirements: 4+ years of experience in software engineering, with strong hands-on experience in backend development and building scalable production systems. Strong proficiency in Python and solid software engineering fundamentals, including clean architecture, testing, and maintainable code practices. Experience working with data-intensive applications, databases, and SQL, including data modeling and query optimization. Exposure to modern data engineering, cloud, or infrastructure environments, with familiarity in tools such as Terraform, Kubernetes, Docker, or similar technologies. Understanding of CI/CD pipelines, Infrastructure as Code, and general engineering best practices. Interest in AI/ML ecosystems and willingness to work closely with Data Science and AI teams on productionizing ML solutions. Familiarity with cloud platforms and modern data stack technologies such as AWS, Snowflake, Spark, or DBT is considered a strong plus. Ownership mindset and comfort working in evolving, fast-moving environments where systems and processes are still being built. What we offer: Health Benefits 1. Medical Full coverage for employees and their dependents through LUX MED. Employees have access to the “Premium” package, providing enhanced coverage and greater access to care. A client pays 100% of the premium for employees and 50% for dependents. 2. Dental No additional cost for dental coverage- integrated into LUX MED medical plan. 3. Vision Reimbursement for vision expenses up to 400 PLN every 2 years. Mental Health Tools Access to TELUS Health EAP to provide support and resources in a time of need. Additional Benefits 10% annual bonus 75% Creative Tax Vacation: 26 days. Home Office Stipend: One-time $150 equivalent home office stipend to outfit their home office. Calm Subscription: Premium subscription access to Calm, the #1 app for sleep, meditation, and relaxation. Hub Perks: Receive meal and transportation benefits when traveling to the Poland Hub. Baby Swag: If you have a baby or adopt, you’ll receive a company-branded first bath bundle. Sabbatical Program: After 5 years of employment, receive a month-long paid sabbatical leave, with a sabbatical leave bonus.

🏢 Summary: Remote-first Scala Developer role focused on building scalable and maintainable systems using functional programming and modern JVM technologies. The offer includes flexible cooperation, strong engineering culture, and work on projects involving distributed systems, Big Data, and Blockchain. Candidates will design and develop high-quality software in small, technically driven teams. 🗂️ Requirements: Very good Scala skills, Strong functional programming knowledge, Ability to write clean and testable code, Minimum 4 years of commercial software development experience, Understanding of software architecture patterns, Ability to design scalable and maintainable systems, Knowledge of industry trends, Team collaboration skills, Very good English (spoken and written), Polish language proficiency 📃 Skills: Scala, Akka, Zio, Cats, Slick, Blockchain, Cassandra, MongoDB, Kafka, JVM 🏢 Description: Our cooperation offer: Remuneration ranging from 125 to 185 PLN net per hour for start 100% remote company with a remote-first mindset Flexible cooperation from any location and without strict schedule Professional development and freedom in choosing the toolset and tech stack Learning-culture expressed by in-house trainings, technical and soft-skills reading clubs and Architecture club Access to many AI tools (Claude, OpenAI, Cursor, Gemini, Copilot, etc.) Leadership and soft-skills in-house trainings English courses Small to medium teams with as little procedures as possible Best tools you need to make our cooperation effective and pleasurable: monitor(s), computer of your choice Dev-friendly environment with passionate and skilled people who believe in clean code and software craftsmanship - you will have a chance to meet some of them during the selection process Interesting projects with technologies like Scala, Akka, Zio, Cats, Slick, Blockchain, Cassandra, MongoDB, Apache Kafka What we expect: Very good Scala skills and functional programming knowledge Ability to write clean and testable code At least 4 years of commercial experience in developing software Understanding of different types of software architecture Ability to design with scalability and maintainability in mind Comprehensive knowledge and understanding of the industry trends Team collaboration ability Good knowledge of English is a must (both spoken and written), we cooperate with clients from all over the world (USA, Australia, Switzerland, etc.) Polish language is required, as internally we are a Polish speaking company Nice to have: Actor model and Akka / Pekko Knowledge of a second JVM language Experience in using AI in software development and deployment cycle Engagement in the IT community: personal blog, speaking at meetups/conferences, involvement in the open-source projects Having a pet-project Interest in Big Data, Machine Learning and/or Blockchain