Python/Pyspark developer & Data Engineer

Luxoft; Wrocław; On-site; PLN 280,000 - 420,000; Full time

Benefits offered by this job

Private Medical & Dental care

Life Insurance covered

Internal Mobility program

Job summary

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

You will design and maintain back-end services, build data pipelines on Databricks, and guide architecture decisions while mentoring the team. Strong PySpark and ETL experience are required.

Qualifications

• 8+ years of professional software development experience
• Hands-on PySpark and distributed data processing
• Proven experience designing and maintaining ETL pipelines
• Hands-on Databricks experience
• Experience in automated testing of data pipelines and applications
• Excellent problem-solving skills
• Familiarity with agile practices (Scrum/Kanban)
• Good communication and ability to state requirements clearly

Responsibilities

• Design, develop, and maintain backend services and APIs using Python
• Build and optimize data pipelines on Databricks
• Design and maintain CI/CD pipelines and release processes in Azure DevOps
• Mentor team members and conduct code reviews
• Define and consume RESTful APIs across teams
• Translate business requirements into robust technical solutions
• Apply clean code and improve engineering standards
• Write unit and integration tests
• Participate in Scrum/Kanban ceremonies
• Collaborate with QA, product managers, and architects
• Support and improve existing applications in a fast-paced enterprise setting

Skills

PySpark

Distributed data processing

ETL pipelines

Databricks

Automated testing

Problem-solving

Agile practices

Communication

Python backend

Tools

Databricks

Unix/Linux

Autosys

Job description

Private Medical & Dental care & Life Insurance covered

Internal Mobility program - possibility of rotation between projects, locations, accounts

...and more!

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 8 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
• 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

Nice-to-Have Skills Description:

• 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