Senior Data Engineer with Scala and Python

What will you do?

 

For or our Client, a world-class financial institution, we are currently looking for a Data Engineer with Scala and Python skills.

Join a newly formed engineering team working on a strategic data analytics platform for risk management in a global financial environment. You'll contribute to the development of a distributed, cloud-ready solution processing massive volumes of risk and market data.

This initiative is part of a wider transformation program aiming to modernize risk analytics through big data technologies, advanced computation, and cloud-native architecture. You will work alongside teams in Poland, the UK and Asia, with close collaboration between software engineers, risk analysts, and product teams.

The platform combines Spark-based distributed processing, OLAP analytics, modern APIs, and DevOps-first culture. If you enjoy solving complex data engineering challenges in high-stakes environments, this role is for you.

 

Openness to work in a hybrid model: 2 days per week from the office in Kraków at the beginning of the knowledge transfer period; afterwards, it can be reduced to 2 days per month.

 

 

Your tasks

 

• Design, develop and maintain scalable big data solutions in a hybrid cloud/on-prem architecture
• Build and optimize batch and real-time data processing pipelines using Spark, Python/Java and Scala
• Integrate analytics libraries and APIs to support interactive data querying and risk calculations
• Collaborate with international teams across business, analytics and IT
• Ensure best practices in testing (unit, integration, performance), DevOps and CI/CD
• Participate in incident resolution, monitoring and platform maintenance
• Contribute to architectural decisions and continuous improvement of the system

 

 

Your skills

 

• Strong experience in building distributed data systems (Spark-based)
• Solid programming skills in Scala and Python
• Basic knowledge in Java (ability to review and understand code)
• Familiarity with Spring Boot, Microservices, and REST APIs
• Solid knowledge of SQL and RDBMS (e.g., PostgreSQL)
• Experience with Apache Airflow, Linux, Git, Maven
• Comfort with CI/CD pipelines (e.g., Jenkins, Github Actions, Ansible)
• Cloud experience: GCP / AWS
• Experience working in Agile/Scrum teams
• Good communication skills and fluency in English (spoken and written)

 

 

Nice to have

 

• Experience with OLAP/data lakehouse tools (e.g., Druid, Clickhouse, Trino)
• Knowledge of stream processing (e.g., Flink, Kafka, Beam)
• Background in financial risk or enterprise-scale analytics platforms

 

 

 

We offer you

 

• Strategic, long-term project in a global financial environment
• International team, modern tech stack, and high data complexity
• Opportunities for growth in big data, cloud, and analytics
• Working in a highly experienced and dedicated team
• Extra benefit package that can be tailored to your personal needs (private medical coverage, sport & recreation package, lunch subsidy, life insurance, etc.)
• Contract of employment or B2B contract
• On-line training and certifications fit for career path
• Social events
• Access to e-learning platform
• Ergonomic and functional working space