Senior Python Developer — Data Platform & API Lead

Luxoft Germany; Wrocław; Presencial; PLN 240 000 - 360 000; Tempo integral

Resumo da oferta

Luxoft Germany is seeking a senior Python developer to lead the build of a new data and application platform for a client in investment banking. The role emphasizes clean code, agile delivery, and high-quality outputs.

You will design back-end services, optimize data pipelines on Databricks, and mentor the team. The candidate will implement CI/CD in Azure DevOps, define RESTful APIs, and drive best practices across architecture and testing.

Qualificações

• 10+ years of professional software development experience
• Strong hands-on Python development skills
• Experience with PySpark and distributed data processing
• Proven experience designing and maintaining ETL pipelines
• Hands-on Databricks experience
• Strong SQL skills and Oracle experience
• Unix/Linux and shell scripting knowledge
• Experience scheduling and monitoring batch jobs with Autosys
• Background in Java or C# development
• Experience in automated testing of data pipelines and applications
• Familiarity with agile practices (Scrum, Kanban)
• Good communication and ability to state requirements clearly

Responsabilidades

• 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 for the new platform.
• Mentor developers and raise the technical level through code reviews and pair programming.
• Define and consume RESTful APIs, communicating requirements across teams.
• Translate business requirements into robust technical solutions.
• Apply clean code principles and contribute to tooling improvements.
• Write and maintain automated tests (unit, integration).
• Participate actively in agile ceremonies (Scrum/Kanban) and planning; work with QA and product managers.
• Support and improve existing applications in a fast-paced enterprise environment

Conhecimentos

Python development

PySpark

ETL pipelines

Databricks

Oracle SQL

Unix/Linux

Shell scripting

Autosys

Java or C#

Automated testing

Agile practices

Communication

Ferramentas

Databricks

Autosys

Azure DevOps

Descrição da oferta de emprego

Luxoft Germany is seeking a senior Python developer to lead the build of a new data and application platform for a client in investment banking. The role emphasizes clean code, agile delivery, and high-quality outputs.

You will design back-end services, optimize data pipelines on Databricks, and mentor the team. The candidate will implement CI/CD in Azure DevOps, define RESTful APIs, and drive best practices across architecture and testing.