Senior Data Engineer - FinTech Data Pipelines & Lakehouse

Luxoft Germany; Polska; Hybrid; PLN 307,000 - 482,000; Full time

Job summary

Luxoft Germany seeks an experienced Data Engineer to design, build, and operate data pipelines powering analytics across investment teams. You will ingest vendor and internal data, model in the lakehouse, and make data discoverable, reliable and cost-efficient.

You’ll collaborate with BAs/PMs and quants, apply PySpark, SQL, and Databricks in production, and contribute to governance, CI/CD, and enterprise data architecture.

Qualifications

• Bachelor's degree in Computer Science, Engineering or related field.
• 5+ years in data engineering roles with production Databricks.
• Hands-on PySpark and SQL in production environments.
• Experience with Declarative Pipelines / orchestration on Databricks.
• Understanding of ingestion, transformation, testing, and performance tuning.
• Experience with governance, cataloguing, and data lineage.

Responsibilities

• Participate in requirements clarification and sprint planning sessions.
• Design and implement ETL pipelines in PySpark for data extraction and transformation.
• Optimize ETL processes for performance and reliability.
• Write unit and integration tests.
• Support QA in acceptance and resolve PROD incidents as a 3rd line engineer.

Skills

Databricks

PySpark

SQL

ETL pipelines

CI/CD

Lakehouse

Data modeling

Data governance

Education

Bachelor's degree in CS/Engineering

Tools

Delta Lake

Foundry

BI tooling

Job description

Luxoft Germany seeks an experienced Data Engineer to design, build, and operate data pipelines powering analytics across investment teams. You will ingest vendor and internal data, model in the lakehouse, and make data discoverable, reliable and cost-efficient.

You’ll collaborate with BAs/PMs and quants, apply PySpark, SQL, and Databricks in production, and contribute to governance, CI/CD, and enterprise data architecture.