Data Engineer ( Python&PySpark)

We are currently looking for a Data Engineer (Python & PySpark) on behalf of our client to join a high-impact project within a leading global financial infrastructure and data provider.

The role is hybrid (2-3 days onsite per week), based in Gdańsk or Gdynia, Poland.

If you have strong experience in Python, PySpark, and working with large-scale data processing systems, this could be a great opportunity to work on meaningful, data-driven financial solutions in a global environment.

Responsibilities

• Assess the current application and work with application architect to decide on transformation strategy.

• Determine application complexity and effort.

• Work with the architects to determine target architecture.

• Plan backlog of activities to be completed by development team.

• Work with development team to transition applications from planning to transformation.

• Support Customer UAT activities.

Technical Skills

• Azure/Fabric

• PySpark services experience

• Dev/Ops experience with Azure

• AKS

• Azure SQL or PostgreSQL DB

• OneLake

• Delta DB

Desired Skills

• CosmosDB

• NoSQL variant

• Postgres variant

• Data Flow Gen 2

Functional Skills

• DBOR data flows

• DBOR data processing and schemas

• Strategic Data Model (SDM)

Competencies

• Digital: Python

• Digital: DevOps

• Digital: PySpark

Benefits

• Stable long-term cooperation with opportunity for extension

• Opportunity to work with modern technologies in an international environment

• Professional growth and continuous development opportunities

• Participation in challenging and impactful projects

If you're interested and meet the qualifications, please send your CV to Alina Pchelnikova at [email protected]