Senior Data Engineer — Databricks, PySpark & Lakehouse

Luxoft Poland

Polska

On-site

PLN 180,000 - 280,000

Full time

42 hours ago
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Benefits offered by this job

Private Medical & Dental care & Life保险
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Internal Mobility program

Job summary

Luxoft Poland is seeking an experienced Data Engineer to design, build, and operate data pipelines and models powering analytics across investment teams and the middle/back office. You will own data end-to-end, from ingestion to lakehouse modeling, ensuring data is discoverable, reliable, and cost-efficient.

You will partner with BAs/PMs and quants, anticipate downstream needs, and propose pragmatic architectures balancing speed, governance, and scalability.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, Information Systems or related field.
  • 5+ years in data engineering roles.
  • Strong hands-on Databricks in production environments.
  • Strong PySpark and SQL, declarative pipelines on Databricks.
  • Understanding of data ingestion, transformation, and testing.
  • Experience with lakehouse concepts and data governance practices.
  • Familiarity with vendor market data feeds and CI/CD pipelines.

Responsibilities

  • Participate in requirements clarification and sprint planning.
  • Design and implement ETL pipelines with PySpark for robust data movement.
  • Optimize ETL processes for performance and reliability.
  • Write unit and integration tests; support QA in acceptance.
  • Resolve PROD incidents as a 3rd line engineer.

Skills

PySpark
SQL
Databricks
Data pipelines
CI/CD

Education

Bachelor's degree

Tools

CI/CD pipelines
Delta Lake

Job description

Luxoft Poland is seeking an experienced Data Engineer to design, build, and operate data pipelines and models powering analytics across investment teams and the middle/back office. You will own data end-to-end, from ingestion to lakehouse modeling, ensuring data is discoverable, reliable, and cost-efficient.

You will partner with BAs/PMs and quants, anticipate downstream needs, and propose pragmatic architectures balancing speed, governance, and scalability.

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