Senior Big Data Engineer – Spark/Scala for Banking Innovation

🏢 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: Scala/Spark Developer role focused on building and optimizing scalable data processing applications and distributed systems using modern big data technologies. The position involves developing ETL/ELT pipelines, improving Spark performance, and collaborating on international AI and data engineering projects. The offer includes flexible working conditions, private healthcare, training opportunities, and a B2B salary range of 28,500–30,000 PLN + VAT. 🗂️ Requirements: Commercial experience with Scala in production environments, Knowledge of functional programming concepts in Scala, Experience with Scala type system, collections, sbt, and testing frameworks, Hands-on experience with Apache Spark, Experience with Spark SQL and DataFrame/Dataset API, Experience designing and maintaining ETL/ELT pipelines, Knowledge of Spark performance optimization techniques, Experience troubleshooting Spark applications using Spark UI, Experience with large-scale distributed data processing, Understanding of software engineering best practices and code quality 📃 Skills: Scala, Spark, SparkSQL, DataFrame, Dataset, ETL, ELT, sbt, ScalaTest, munit, SparkUI, Kafka, Airflow, AWS, EMR, S3, Glue, Azure, GCP, Dataproc, Databricks, Hadoop, Hive, DeltaLake, Parquet, Avro, SQL, Docker, Kubernetes, Git, CI/CD, Cats, ZIO, Akka, Pekko, Python, Java 🏢 Description: Scala/Spark Developer We are looking for a Scala/Spark Developer to join an AI-first software engineering company delivering innovative AI, data, cloud, and IoT solutions for clients across Europe and beyond. As part of the engineering team, you will design, develop, and optimize scalable data processing solutions, build high-performance distributed systems, and work with modern big data technologies on challenging international projects. Responsibilities Design, develop, and maintain scalable data processing applications using Scala and Apache Spark; Build, optimize, and maintain ETL/ELT pipelines processing large volumes of data; Develop efficient Spark applications using Spark SQL and the DataFrame/Dataset API; Optimize Spark jobs by improving partitioning strategies, shuffle operations, caching, and join performance; Troubleshoot and resolve performance issues using Spark UI and monitoring tools; Collaborate with data engineers, software developers, and stakeholders to design scalable data processing solutions; Participate in code reviews and contribute to software quality, performance, and engineering best practices. Requirements Strong commercial experience developing production applications in Scala, including functional programming concepts (immutability, pattern matching, higher-order functions), Scala type system, collections, sbt, and testing frameworks such as ScalaTest or munit, with the ability to write clean, maintainable, production-quality code; Proven hands-on experience with Apache Spark, including Spark SQL, DataFrame/Dataset API, designing and maintaining ETL/ELT pipelines, performance optimization (partitioning, shuffle optimization, broadcast joins, caching), and troubleshooting using Spark UI; Experience working in production environments with large-scale data processing and distributed data pipelines; Strong understanding of software engineering best practices, code quality, performance optimization, and maintainability. Nice to have Experience with Kafka and Spark Structured Streaming; Experience with Airflow or similar workflow orchestration tools; Experience with cloud platforms such as AWS (EMR, S3, Glue), Azure, GCP (Dataproc), or Databricks; Knowledge of the big data ecosystem, including Hadoop, Hive, Delta Lake, Parquet, and Avro; Experience with SQL, data modeling, data warehouses, and data lake architectures; Experience with Docker, Kubernetes, Git, and CI/CD pipelines; Familiarity with Scala libraries such as Cats, ZIO, Akka, or Pekko; Knowledge of Python or Java. We offer B2B salary: 28 500 -30 000 PLN + VAT; Flexible working conditions; Private healthcare, Multisport card, and professional training opportunities.

🏢 Summary: 100% remote B2B contract role for an Expert Data Engineer to build and maintain distributed Big Data pipelines supporting decision-making processes in an international banking environment. The position focuses on near real-time processing of large-scale structured and unstructured data using Spark, Scala, and Hadoop ecosystems. It requires strong experience in data engineering, automation, and continuous delivery on Big Data platforms. 🗂️ Requirements: Minimum 5 years of experience with Spark and Scala, Minimum 7 years of experience with Python, Minimum 5 years of experience with Linux, Experience with distributed data processing engines, Experience with Hadoop ecosystem (Hive, Oozie, MapReduce), Strong SQL skills, Experience in building data flows, Expert-level knowledge of Git and BitBucket, Experience with unit testing (JUnit 5, Mockito, Spark testing), Advanced English (min. B2) 📃 Skills: Scala, Python, Spark, Hadoop, Hive, Oozie, MapReduce, SQL, Linux, Git, BitBucket, JUnit, Mockito 🏢 Description: Workplace: 100% remote Notice period: 30 days Form of cooperation: B2B contract with ITFS Rate: 140 - 170 PLN/h + VAT Client: international bank Technology stack: Scala, Python, Spark Language: English (min. B2) The recruitment process: screening call with ITFS (~ 20 minues)  → technical interview with the client → decision As an Expert Data Engineer you will be building data systems to support decision making processes. You will focus on developing and maintaining data pipelines. This position will require advanced technical depth and experience, and communication skills. What you’ll be doing: Building a distributed and highly parallelized Big data processing pipeline which process massive amount of data (both structured and unstructured data) in near real-time Leveraging Spark and Scala to transform corporate data to enable data products to be built Continuous delivery on Hadoop and other Big Data Platforms Automating processes where possible and are repeatable and reliable Must have: Experience in Spark & Scala - minimum 5 years; Experience in Python - minimum 7 years Experience in Linux - minimum 5 years Experience with distributed data processing engines like Spark Experience with Hadoop and (Hive, Oozie, map reduce, etc) Strong/Advanced SQL skills Previous experience in creating data flows BitBucket and GIT expert Unit testing Experience (Junit 5, Mockito, Spark testing) Advanced English skills Must-have knowledge and experience: To succeed in this role, we believe that you: Are collaborative and achieve your expectations through communication and teamwork Are curious, responsive and can understand the needs of others to ensure delivery of the desired results Work qualitatively and strive to always do things better Have a high level of self-motivation Nice to have: Code versioning strategy & Branching strategy Familiar with Agile/Safe framework We offer: Transparent terms of cooperation with a company with a secure and stable market position and opportunities for growth. Access to benefits (co-financing for Enel-med and Multisport healthcare packages, and a basic accounting package – free for up to three invoices per month).

🏢 Summary: Senior Software Engineer role focused on maintaining and extending a SaaS platform using Scala and Python, with strong emphasis on AI/LLM integrations and backend architecture. The position involves building production-grade backend services, integrating generative AI and transcription tools, and supporting scalable cloud-based systems in an international engineering environment. B2B contract with long-term extension potential. 🗂️ Requirements: 7+ years of backend software engineering experience, Advanced Polish language skills, English at B2/C1 level, Production experience with Scala, Production experience with Python, Ability to maintain dual-language codebases, Knowledge of software architecture, Understanding of clean code principles, Experience with automated testing, Experience with code reviews, Knowledge of version control 📃 Skills: Scala, Python, REST, GenAI, LLM, AWS, Azure, GCP, CI/CD, ElasticSearch, PHP, SaaS, API, Git 🏢 Description: Kim jest H2B Group? Jesteśmy firmą konsultingową, która pomaga klientom w automatyzacji procesów biznesowych przy pomocy AI, a specjalistom IT rozwijać karierę w modelu B2B. Oferujemy projekty z branż takich jak fintech, medtech, edutech czy automatyka przemysłowa. Dzięki ścisłej współpracy wspieramy rozwój naszych klientów poprzez dostarczanie szybkich i mierzalnych efektów, jednocześnie zapewniając specjalistom IT możliwości rozwoju kariery i zdobywania cennego doświadczenia. Dlaczego warto z nami współpracować? ✨ Elastyczność – Wybierasz projekty dopasowane do swoich umiejętności i zainteresowań, z możliwością zmiany w ramach naszej firmy lub grupy Euvic, której jesteśmy częścią. 💡 Przejrzystość – Masz jasne zasady współpracy i pełną transparentność wynagrodzenia oraz warunków. 🚀 Szybkość działania – Dzięki naszej efektywności szybko znajdziesz lub zmienisz projekt, który idealnie odpowiada Twoim kompetencjom. 🌟 Możliwość rozwoju – Pracujesz przy innowacyjnych projektach, rozwijając kluczowe kompetencje i zdobywając cenne doświadczenie. Do projektu naszego klienta poszukujemy osoby na stanowisko Senior Software Engineera (Scala & Python) Join an international engineering team focused on evolving and scaling an established SaaS platform . In this role, you will bridge two ecosystems: maintaining the core infrastructure built in Scala while developing new, advanced features primarily in Python . A key focus of the project is the deployment of cutting-edge AI capabilities , including integrations with external AI/LLM providers, transcription services, and internal machine learning models. Key Responsibilities Hybrid Backend Development: Developing, maintaining, and extending robust backend services using both Scala (existing codebase) and Python (new features). AI & LLM Integrations: Designing and implementing production-ready features driven by Generative AI, integrating external and internal AI platform APIs, LLM providers, and transcription tools. System Architecture: Participating in technical discussions, code reviews, and architectural decisions to ensure system scalability, performance, and security. API & Integration Design: Designing reliable, maintainable REST APIs and seamless integrations between core platform services and external third-party systems. Quality & Automation: Writing clean, well-documented, and thoroughly testable code while supporting modern CI/CD pipelines and automated testing practices. Production Support: Troubleshooting production issues, optimizing performance/costs of AI workloads, and continuously improving platform stability. Requirements Experience: Minimum 7+ years of professional experience in backend software engineering. Languages: Fluent Polish (advanced) AND English at a minimum B2/C1 level (working in an international engineering environment). Technical Ecosystem: Proven production-grade experience with both Scala and Python , along with the ability to navigate and maintain dual-language codebases efficiently. Engineering Practices: Solid understanding of software architecture, clean code principles, automated testing, code reviews, and version control. Nice to Have: GenAI / LLM Experience: Commercial experience integrating LLMs, generative AI APIs, or building workflows around speech-to-text/transcription tools. Cloud & Infrastructure: Hands-on experience with major cloud platforms ( AWS, Azure, or GCP ) and modern CI/CD pipelines. Search & Data: Practical knowledge of ElasticSearch for scalable data querying. Legacy Context: Basic understanding or experience with PHP applications is a plus. SaaS Background: Previous experience building or scaling multi-tenant SaaS products. What We Offer Rate: 100-125 PLN/h Contract Type: B2B Contract. Duration: 6 months with a strong possibility of long-term extension.

🏢 Summary: Senior Software Engineer role focused on building and scaling backend services and AI-powered features using Scala and Python. The project involves integrating AI models and external AI services via APIs in a remote B2B engagement based in Poland. The contract is for 6 months with the possibility of extension. 🗂️ Requirements: Strong commercial experience with Scala, Strong proficiency in Python, Senior-level software engineering knowledge, Experience with testing, Experience with version control, Experience with CI/CD, Knowledge of Agile methodologies 📃 Skills: Python, Scala, LLMs, ElasticSearch, PHP, AWS, Azure, GCP, CI/CD, APIs, Agile 🏢 Description: Senior Software Engineer SKILLS: Python | Scala | AI models integration Project duration: 6 months with the possibility of extension B2B CONTRACT LOCATION: POLAND (REMOTE) Key Duties and Requirements: A Roadmap to Your Professional Success 🚀 Scope of responsibilities: Develop and maintain robust backend services using Scala and Python Design, implement, and scale AI-powered features across the platform Integrate internal and external AI services via APIs (including LLMs and similar AI platforms) Contribute to the continuous improvement of backend architecture and AI capabilities Here is a set of skills we require: Must-have: Strong commercial experience with Scala in production environments Strong proficiency in Python Senior-level understanding of software engineering best practices, including testing, version control, CI/CD, and Agile methodologies Nice-to-have: Hands-on experience working with Large Language Models (LLMs) Experience with AI-based transcription solutions or similar AI models Knowledge of ElasticSearch Experience integrating AI services through APIs Experience with PHP development Familiarity with public cloud AI services such as AWS , Azure , or GCP

🏢 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: Hybrid B2B opportunity for a Senior or Lead Software Engineer focused on Big Data platforms within Risk & Compliance for a global banking environment. The role involves building scalable data processing solutions, ETL pipelines, and analytics platforms using Spark and Java/Scala in an Agile international team. Engineers will collaborate with architects, analysts, and data scientists while contributing to CI/CD, TDD, and large-scale surveillance and risk management systems. 🗂️ Requirements: Commercial experience with Apache Spark, Strong programming skills in Java, Strong programming skills in Scala, Experience building large-scale data processing solutions, Knowledge of software engineering best practices, Experience working in Agile environments, Ability to collaborate in international teams, Strong communication skills, English level B2 or higher 📃 Skills: Spark, Java, Scala, Hadoop, YARN, HDFS, Spring, Airflow, SQL, Elasticsearch, Python, GCP, Maven, Git, CI/CD, TDD, ETL, Agile 🏢 Description: Senior Software Engineer / Lead Software Engineer (Big Data) 📍 Location: Kraków, Poland 🏢 Work mode: hybrid, 2 days per week from the office 💰 Rate: 180-250 PLN/h B2B About the Project: Join a global technology team within the Risk & Compliance domain of a leading international banking organization. The team develops cutting-edge solutions that help protect customers and the business from financial crime, market abuse, identity threats, regulatory risks, and other compliance-related challenges. You will become part of a global Agile team responsible for building modern data platforms and big data solutions that support large-scale surveillance and risk management initiatives. This role offers the opportunity to work on highly impactful systems, collaborating with engineers, architects, analysts, and data scientists from around the world. Your Responsibilities: Collaborate with Product Owners and Business Analysts to understand business and stakeholder requirements Design, develop, and maintain data processing components and storage solutions Onboard new data sources and build scalable ETL/data processing pipelines Work closely with Data Scientists to productionize analytical models and solutions Develop software following CI/CD and Test-Driven Development (TDD) practices Partner with Solution Architects to validate and implement technical designs Perform unit testing and ensure high code quality standards Contribute to the continuous improvement of development processes and engineering practices Requirements: Must Have: Strong commercial experience with Apache Spark Solid programming experience in Java/Scala Experience building large-scale data processing solutions Understanding of software engineering best practices and Agile methodologies Strong communication skills and ability to work effectively in an international team English proficiency at B2 level or higher Nice to Have: Experience with Apache Hadoop (YARN, HDFS) Knowledge of Spring Framework Experience with Apache Airflow Experience working with SQL databases and Elasticsearch Python programming skills Experience deploying services on Google Cloud Platform (GCP) Familiarity with Maven and Git What We Offer: Benefits package: private healthcare ( LuxMed ), sports package ( Multisport ) Opportunity to work on global-scale Big Data solutions Collaboration with international teams and industry experts Modern technology stack and challenging engineering environment Why apply for an Antal job offer? When your application is successful, you will be supported by a dedicated Consultant who will stay in regular contact with you (via email or phone), help you prepare for interviews with your future employer, and ensure a smooth and professional recruitment process. About Antal Antal is a leading recruitment and HR advisory company, present in Poland since 1996 and later expanded to the Czech Republic and Hungary. Across the CEE region, we employ around 150 professionals who deliver a full range of services – from specialist and executive recruitment, employee outsourcing and HR consulting, to employer branding and market research. Our division-based structure combines deep industry expertise with functional specialisation, enabling us to provide tailored solutions for companies in every sector. We act as a trusted partner for both employers and candidates, sharing our knowledge and guiding them through every stage of the talent journey. We connect exceptional people with the right opportunities and help organisations build successful teams. Discover our latest job openings: https://en.antal.pl/candidates Follow us on LinkedIn: https://www.linkedin.com/company/antalpoland

🏢 Summary: B2B opportunity for an experienced Scala Spark Engineer to build and maintain scalable data pipelines for a global financial‑crime prevention analytics platform on Google Cloud. The role involves working with Big Data and AI solutions in an international Agile environment, contributing to full development lifecycle and production releases. Hybrid work model in Kraków with long‑term cooperation and exposure to modern cloud technologies. 🗂️ Requirements: Very good knowledge of Scala Spark, Experience with GitHub, Airflow and basic Python knowledge, Experience with Jira and Confluence, Experience working in Scrum, Good communication skills in English 📃 Skills: Scala, Spark, Airflow, Python, GitHub, Jira, Confluence, GCP, JUnit, Jenkins, Elasticsearch, Azure, AWS, TDD, BDD 🏢 Description: Location: Kraków (2 times per week from the office) B2B | 180–220 PLN netto/hour About the Role: We are looking for an experienced Scala Spark Engineer to join a global technology organisation building advanced analytics solutions for financial‑crime prevention. You will work with Big Data, AI and Google Cloud Platform, creating scalable data pipelines and contributing to a platform used by investigators, analysts and data scientists worldwide. The team operates across Poland, China and the UK, following Agile Scrum with 2‑week sprints and 6‑week release cycles. We value transparency, collaboration and continuous improvement, and we maintain a friendly, supportive engineering culture. Key Responsibilities: • Deliver Sprint backlog items and support the team in achieving Sprint goals • Build and maintain data pipelines using Scala Spark in GCP • Analyse large‑scale datasets using Spark Shell • Use Airflow to validate and automate tests you create • Collaborate with distributed development teams across multiple countries • Follow Scrum practices and actively participate in Agile ceremonies • Perform standard code maintenance: testing, refactoring, debugging • Support Product Owners in refining technical backlog items • Share knowledge within the team and across the wider organisation • Participate in the full development lifecycle, including production releases Requirements: • Very good knowledge of Scala Spark • Experience with GitHub • Airflow and basic Python • Jira and Confluence • Experience working in Scrum • Good communication skills in English Nice to Have: • GCP and Apache Airflow • JUnit, TDD, BDD • Jenkins • Clean code principles: SOLID, KISS, DRY, design patterns • Elasticsearch • Experience with at least one major cloud provider (Azure, AWS) • Previous Secure Code Warrior certifications What We Offer: • Work on a global, next‑generation analytics platform • Exposure to Big Data, AI and modern cloud technologies • International environment with strong engineering culture • Stable long‑term cooperation • Benefits package: Multisport Card, Luxmed Why apply for an Antal job offer? When your application is successful, you will be supported by a dedicated Consultant who will stay in regular contact with you (via email or phone), help you prepare for interviews with your future employer, and ensure a smooth and professional recruitment process. About Antal Antal is a leading recruitment and HR advisory company, present in Poland since 1996 and later expanded to the Czech Republic and Hungary. Across the CEE region, we employ around 150 professionals who deliver a full range of services – from specialist and executive recruitment, employee outsourcing and HR consulting, to employer branding and market research. Our division-based structure combines deep industry expertise with functional specialisation, enabling us to provide tailored solutions for companies in every sector. We act as a trusted partner for both employers and candidates, sharing our knowledge and guiding them through every stage of the talent journey. We connect exceptional people with the right opportunities and help organisations build successful teams. Discover our latest job openings: https://en.antal.pl/candidates Follow us on LinkedIn: https://www.linkedin.com/company/antalpoland

🏢 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 .