Oracle Developer – Financial Markets

🏢 Summary: The role involves administering and maintaining Microsoft SQL Server and Windows Server environments in production, ensuring high availability, security, and performance. The engineer will automate administrative tasks, support CI/CD processes, and handle incidents and changes in critical data infrastructure. The position also includes monitoring, troubleshooting, and supporting global production systems with on-call duties. 🗂️ Requirements: Minimum 3 years of Microsoft SQL Server administration in production, Practical knowledge of SQL Server 2016/2019/2022, Experience with Always On Availability Groups and WSFC, Knowledge of Windows Server 2016/2019/2022, Knowledge of AD, DNS, GPO, certificates, service accounts, PowerShell scripting and automation, Experience with monitoring and logging tools, Ability to troubleshoot database and application issues, Experience handling incidents, problems, and changes in production, Knowledge of SQL Server and Windows Server security best practices, English level B2+, Availability for shift work and on-call duties 📃 Skills: SQL, T-SQL, MicrosoftSQLServer, WindowsServer, AlwaysOn, WSFC, PowerShell, Python, AzureDevOps, Stonebranch, SCOM, Elastic, Kibana, Grafana, Prometheus, OpenTelemetry, ActiveDirectory, DNS, GPO, IIS, HPC, CI/CD 🏢 Description: ING Hubs Poland is hiring! The expected salary for this position: 12000 - 16000 PLN gross The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations. We are looking for you, if you: Minimum 3 years of experience in Microsoft SQL Server administration in a production environment. Practical knowledge of SQL Server 2016/2019/2022, including backup/restore, permissions, maintenance, monitoring and performance tuning. Experience with high availability mechanisms, especially Always On Availability Groups and WSFC. Good knowledge of Windows Server 2016/2019/2022 and core infrastructure services: AD, DNS, GPO, certificates and service accounts. PowerShell skills and experience in automating administrative tasks. Ability to diagnose application and database-related issues, including log analysis, connectivity problems, service errors and performance issues. Knowledge of monitoring/logging tools, such as SCOM, Elastic Stack, Kibana, Grafana, Open Telemetry, Prometheus or similar. Experience in handling incidents, problems and changes in a production environment. Knowledge of security best practices for SQL Server and Windows Server. Independence, attention to detail, accountability and good technical communication skills. speak English at B2+ level and are open to shift work and on-call duties. You'll get extra points for: experience with Stonebranch UAC, Azure DevOps, and data orchestration tools, knowledge of Active Directory/GPO/DNS/DHCP , IIS familiarity with Microsoft HPC Pack, SCOM, Your responsibilities: administer and maintain MS SQL Server and Windows server environments, automate tasks and manage CI/CD pipelines using PowerShell, Python, Azure DevOps, and Stonebranch UAC, ensure security compliance, manage access rights, and perform patching and audits, handle tickets (L1/L2 triage), communicate in English, and manage SLA/SLO, plan and implement changes (CHG), including in production environments; maintain documentation and runbooks. Information about the team: You’ll join a team responsible for critical data flows and infrastructure supporting global clients. We value efficiency and automation. You’ll receive onboarding support, mentoring, and a structured learning plan for key technologies. We offer a stable employment contract (UoP), annual bonus (13th salary), and a comprehensive benefits package including private medical care, insurance, Multisport card, PPE, hybrid work, company equipment, and subsidies for phone, glasses, tickets, and meals. The role naming convention in the global ING job architecture will be “Engineer III".

🏢 Summary: DevOps Engineer role focused on building, managing, and improving Kubernetes-based platforms providing block and object storage. The position involves GitOps-driven platform management, CI/CD integration, and deployment of applications on OpenShift, while collaborating with development teams. The role also includes platform integration across infrastructure systems and participation in 24/7 rotational standby support. 🗂️ Requirements: Extensive experience with Kubernetes cluster building and management, Experience with PaaS platforms, Strong understanding of CI/CD principles and practices, Hands-on experience with Portworx or Minio 📃 Skills: Kubernetes, PaaS, CICD, Portworx, Minio, OpenShift, GitOps, RHEL, AzureDevOps, Go, Networking, Storage 🏢 Description: ING Hubs Poland is hiring! The expected salary for this position: 16000 - 24 000 PLN gross The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations. We are looking for you, if you: Have extensive experience building and managing Kubernetes clusters Have worked with PaaS Understand CI/CD principles and practices Have experience with Portworx or Minio English level B2/C1 You'll get extra points for: Knowledge of software designed storage Experience with Azure DevOps Experience with networking technologies Have hands-on experience with Red Hat Enterprise Linux (RHEL) administration Have experience in Go programming for API development and maintenance Your responsibilities: As DevOps engineer, working on Product backlog and refining features for current and new platforms. Building integrations of various Infra systems to help end-to-end Customer journeys. Manage, maintain and improve existing platforms in a GitOps way of working Deployment and management of applications on OpenShift Collaborate with development teams to understand needs/provide enablement and drive adoption of best practices; Provide 24x7 coverage (weekends and evenings) for standby duty on a rotational basis with other team members. Information about squad: You will join a international team of young and experienced engineers who builds new and manages existing kubernetes clusters that offer block and object based storage as a platform. The role naming convention in the global ING job architecture will be “Engineer IV”.

🏢 Summary: Full-time Data Engineer role focused on building and maintaining scalable, cloud-based data platforms for large-scale analytics. The position involves developing end-to-end data pipelines and collaborating with researchers and data professionals to enable data exploration and insight generation. 🗂️ Requirements: 3+ years experience in Data Engineering or similar role, Strong Python skills, Experience with Spark or Scala, Experience with big data technologies, Ability to design scalable data solutions 📃 Skills: Python, Spark, Scala, Cloud, ETL, BigData, GraphDB 🏢 Description: Role Title: Data Engineer Location: Warsaw, hybrid Contract Type: Umowa o Pracę - full time employment 25000-36000 zl gross/month - negotiable (depending on years of experience) A growing research-focused team is looking for a Data Engineer to build and support data platforms that help professionals extract insights from large, complex datasets. This role involves working closely with researchers, analysts, and data scientists to design scalable data solutions. What you’ll do Build and maintain end-to-end data pipelines (ingestion, transformation, delivery) Develop cloud-based data infrastructure for large-scale analytics Work with teams to enable data exploration and visualization Evaluate and prototype new big data technologies Requirements 3+ years experience in Data Engineering or similar role Strong Python development skills Experience with Spark or Scala Interest or experience in big data technologies Ability to design innovative solutions to data challenges Nice to have • Experience with graph databases

🏢 Summary: Full Stack Engineer role focused on building and owning integrations between enterprise HR systems and third-party SaaS platforms in a cloud-native environment. The position involves backend-heavy development, API design, CI/CD implementation, and collaboration with HR, Finance, and security teams. Hybrid work model in Warsaw with competitive monthly salary. 🗂️ Requirements: 5+ years of software engineering experience, Experience with SaaS HR software integrations, Knowledge of backend programming languages, Knowledge of JavaScript or TypeScript, Experience designing and implementing RESTful APIs, Experience integrating third-party web services, Knowledge of OAuth2, OIDC, SAML and SSO, Experience with AWS or another major cloud platform, Experience with Git, Experience with CI/CD pipelines, Experience with Terraform, Frontend development experience, Experience gathering and managing requirements, Fluent English 📃 Skills: Java, Python, JavaScript, TypeScript, REST, SOAP, OAuth2, OIDC, SAML, SSO, AWS, Git, CI/CD, Terraform, API 🏢 Description: For our client, an international financial company, we are looking for: Full Stack Engineer, HR Enterprise Systems Location: Warsaw, Poland (3 days in office per week) Salary: 28 000 – 38 000 PLN gross / month (employment) Tasks: - Build and own integrations between enterprise systems and third-party HR SaaS platforms (70% backend, 30% frontend) - Lead end-to-end technical delivery of integration projects - Design and implement robust RESTful APIs and web service adapters that handle both modern REST and legacy SOAP interfaces - Partner with HR, Talent Acquisition, Finance and other corporate teams to gather and manage requirements - Act as the cloud-native integration owner with security and compliance teams - Implement and maintain CI/CD pipelines, automated tests and monitoring Requirements: - 5+ years of experience in software engineering (development & design) - Hands-on experience in SaaS HR software integration (preferably in-house) - Knowledge of one of major backend languages and also JavaScript or TypeScript (preferred stack: Java, Python, JS) - Proven experience designing and implementing RESTful APIs and integrating third-party web services - Experience with authentication and authorization standards (OAuth2, OIDC, SAML and SSO) - Experience building and operating services on a major cloud platform (AWS preferred) - Experience with Git, CI/CD and IaC (Terraform) - Some experience with frontend development - Some experience in gathering and managing requirements (liaising with stakeholders) - Fluent in English

🏢 Summary: Long-term Senior Software Engineer role building a cloud-based financial data platform from scratch. The position focuses on designing and developing scalable, real-time data processing solutions in Azure with strong influence on architecture and engineering standards. You will create backend services and data pipelines in a modern, evolving data environment. 🗂️ Requirements: Strong programming skills in Python or Java or C#, Experience with cloud platforms (Azure preferred), Experience building backend services or data processing components, Experience working with data pipelines and ensuring data consistency, Understanding of software design and clean code principles, Experience with CI/CD pipelines, Experience with version control systems 📃 Skills: Python, Java, C#, Azure, Cloud, CI/CD, Backend, Datapipelines 🏢 Description: As a Senior Software Engineer, you’ll be working on data-driven solutions within the financial data and analytics space. This is a long-term collaboration on a project being built from scratch, giving you real influence over architecture, technology choices, and engineering standards from day one. You’ll be shaping platforms that process large-scale, real-time data used across global financial systems, in a modern and evolving data environment. Key responsibilities Design and develop scalable solutions in cloud environment (Azure) Build and maintain data processing components and services Work with data pipelines and ensure data consistency across systems Develop cloud-based applications and services Collaborate with Engineering, Architecture and Product teams Contribute to clean code, CI/CD, automation and system reliability Take part in code reviews and technical discussions Ideal candidate profile Strong programming skills in Python or Java or C# Experience working with cloud platforms (Azure preferred) Experience in building backend services or data processing components Understanding of software design, clean code and good engineering practices Experience with CI/CD pipelines and version control systems Ability to work independently and as part of a team Good communication skills Nice to have Experience with Spark / PySpark / Databricks Experience with data platforms or data engineering concepts Familiarity with event-driven architectures (Kafka, Event Hubs or similar) Experience with Azure data ecosystem (e.g. Fabric) Experience with containers / Kubernetes (AKS) Conditions Form of cooperation: UoP + KUP 50% Salary range: 18 000 - 30 000 PLN gross/month + yearly bonus depends on the results Hybrid work model: 3 days per week in the Gdynia office Benefits: private medical care, Multisport card, employee pension scheme Recruitment steps Call with a KUBO recruiter (approx. 30 min.) Interview with the client (max. 2 rounds) Decision and feedback

🏢 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: 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: Opportunity for an Expert Java Engineer to design and build scalable, high-performance financial systems within a global team. The role focuses on developing microservices, cloud-native solutions on Kubernetes and GCP, and influencing architectural decisions in mission-critical environments. Ideal for a senior back-end engineer experienced in distributed systems and banking or capital markets domains. 🗂️ Requirements: 5+ years of professional software engineering experience, Strong hands-on experience with Java, Experience with REST APIs and microservices architecture, Experience with messaging systems (RabbitMQ or similar), Strong SQL database knowledge, Hands-on experience with Kubernetes, Experience with cloud platforms (preferably GCP), Knowledge of NoSQL databases and distributed systems, Experience with CI/CD pipelines, Understanding of scalability, performance, and high-availability architectures, Experience in banking or capital markets domain 📃 Skills: Java, REST, Microservices, RabbitMQ, SQL, Kubernetes, GCP, NoSQL, CI/CD, Agile, DistributedSystems 🏢 Description: Expert Java Engineer We are looking for an Expert Java Engineer to join a global team building and evolving mission-critical financial systems. This role is ideal for an experienced back-end engineer who enjoys designing scalable solutions, influencing architecture, and working on high-performance distributed systems. 📍 Location: Kraków, Poland (Hybrid – 6–8 office visits per month)* 💰 Rate: Up to 190 PLN/h (B2B) * Hybrid Model Based in Kraków with 6–8 office days per month . Candidates living outside Kraków are welcome to apply. If you are willing to travel to the office, we will cover your travel and accommodation costs . Responsibilities: Design and develop scalable microservices and REST APIs. Build high-performance, highly available back-end applications. Develop and operate cloud-native solutions on Kubernetes and GCP. Contribute to architecture decisions and technical roadmaps. Optimize databases, integrations, and distributed systems. Drive engineering best practices across CI/CD, security, and software quality. Collaborate closely with business stakeholders and global engineering teams. Mentor developers and support technical delivery. We are looking for: 5+ years of professional software engineering experience. Strong hands-on experience with Java. Solid experience with REST APIs and microservices architecture. Experience with messaging systems (RabbitMQ or similar). Strong SQL database knowledge. Hands-on experience with Kubernetes. Experience working with cloud platforms (preferably GCP). Knowledge of NoSQL databases and distributed systems. Experience with CI/CD pipelines and Agile methodologies. Strong understanding of scalability, performance, and high-availability architectures. Experience in the banking or capital markets domain, preferably related to trade lifecycle, post-trade processing, or FX products. Nice to Have Experience with Go or Rust. Experience with ClickHouse or other analytical databases. Front-end development experience. Knowledge of API governance. Experience with large-scale data processing environments. This role is not perfectly suited for you, but you have a friend who would fit? Recommend your friend and get up to 5000 zł! Referral Program: Talent from your network Don't hesitate and apply now! Nr ref.: 32/6/2026/r/3612