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Senior Data Engineer with Scala and Python

GFT Technologies SEKraków, PL

3 days ago

Job description

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 proj ect 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

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Senior Data Engineer • Kraków, PL