Luxoft Poland
Senior Python Developer & Data Engineer
Senior Python developer/data engineer at Luxoft Poland (hybrid, Kraków) leading the build of a new data and application platform for an investment-banking client. Day to day: designing Python back-end services and APIs, building PySpark/Databricks data pipelines, and setting up CI/CD in Azure DevOps while mentoring the team.
- Compensation
- Not disclosed
- Location
- Kraków, Poland
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 10+ years
- Category
- Data engineering
- Posted
Skills
Must have
- At least 10 years of professional software development experience, including long-term projects
- 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
- Excellent problem-solving skills
- Familiarity with agile practices (Scrum, Kanban, etc.)
- Good communication skills and the ability to state requirements clearly to other teams
Full description
hybrid work - 2/3 days/week 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
- 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
- Excellent problem-solving skills
- Familiarity with agile practices (Scrum, Kanban, etc.)
- Good communication skills and the ability to state requirements clearly to other teams