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Python Developer & Data Engineer

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Hybrid

Python Developer & Data Engineer

Luxoft

Python Developer & Data Engineer

Skills

SQL QueriesPythonJavaC#Testing & QADatabricksLinuxOraclePySparkKanbanAzure

10 days ago

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Important information


Contract type:

Permanent

Location:

Wrocław, Poland

Work mode:

Hybrid

Published on:

9 October 2026

What they need


Hybrid work: 3 days from the office

Project Description:

We are looking for a senior Python developer to join our client's team and lead the build of a new data and application platform. The team focuses on clean code, agile methodologies, and high-quality delivery. The client is from the investment banking industry.

Responsibilities:

  • Design, develop, and maintain scalable back-end services and APIs using Python
  • Build and optimize data pipelines and workloads on Databricks
  • Design, implement, and maintain CI/CD pipelines and release processes in Azure DevOps
  • Advise and guide the team on architecture, design decisions, and best practices while the new platform is built
  • Mentor developers and raise the technical level of the team through code reviews and pair programming
  • Define and consume RESTful APIs, clearly communicating requirements and constraints across teams
  • Translate business and product requirements into robust technical solutions
  • Apply clean code principles and contribute to continuous improvement of engineering standards and tooling
  • Write and maintain automated tests (unit, integration)
  • Participate actively in agile ceremonies (Scrum/Kanban), including refinement, planning, reviews, and retrospectives
  • Work closely with QA, product managers, and architects to ensure high-quality, business-aligned deliveries
  • Support and improve existing applications in a fast-paced, enterprise investment-banking environment

Mandatory Skills Description:

  • At least 10 years of professional software development experience, including long-term projects
  • Strong hands-on Python development skills
  • Hands-on experience with PySpark and distributed data processing
  • Proven experience designing, building and maintaining ETL pipelines
  • Hands-on experience with Databricks
  • Hands-on experience with Oracle, including strong SQL skills and query and performance tuning
  • Good working knowledge of Unix/Linux and shell scripting
  • Experience scheduling and monitoring batch jobs with Autosys
  • Background in Java or C# development
  • Experience in automated testing of data pipelines and applications
  • Clean coding skills
  • Excellent problem-solving skills
  • Familiarity with agile practices (Scrum, Kanban, etc.)
  • Good communication skills and the ability to state requirements clearly to other teams

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