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 alina.pchelnikova@dcvtechnologies.co.uk
Data Engineer ( Python&PySpark)
Data Engineer ( Python&PySpark)