Senior Python Developer & Data Engineer

Luxoft Poland; Wrocław; Hybrid; PLN 180,000 - 280,000; Full time

Job summary

Luxoft Poland is seeking a senior Python developer to lead backend, data pipelines, and platform build for an investment-banking client. You will design APIs, implement ETL on Databricks, and guide a team across architecture and testing efforts.

The role emphasizes clean code, agile delivery, and mentorship within a hybrid work setup (2–3 days in the office). Strong SQL, Unix/Linux, and automated testing are essential.

Qualifications

• At least 10 years of professional software development experience.
• 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.

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.

Skills

Excellent problem-solving

Strong communication

Agile practices

Automated testing

Tools

PySpark

Databricks

Oracle SQL

Unix/Linux

Shell scripting

Autosys

Java/C#

Job 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