Senior Python Developer & Data Engineer

Luxoft Germany; Kraków; On-site; PLN 180,000 - 240,000; Full time

Job summary

Luxoft Germany in Kraków seeks a senior Python developer to lead the build of a new data and application platform within an investment banking context.

You will design, develop, and maintain backend services, optimize data pipelines on Databricks, and guide the team on architecture and best practices while mentoring colleagues through code reviews and pair programming. Strong Python and ETL background required.

Qualifications

• 10+ years of professional software development experience.
• Strong hands-on Python development skills.
• Hands-on experience with PySpark and distributed data processing.
• Experience designing, building and maintaining ETL pipelines.
• Hands-on experience with Databricks and SQL databases.
• Oracle SQL knowledge with performance tuning.
• Unix/Linux environment and shell scripting.
• Experience scheduling with Autosys.
• Background in Java or C# development is a plus.
• Automated testing of data pipelines and applications.
• Familiarity with Agile (Scrum/Kanban) practices.

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 in Azure DevOps.
• Advise and guide the team on architecture and best practices.
• Mentor developers via code reviews and pair programming.
• Define and consume RESTful APIs and communicate requirements clearly.
• Translate business needs into robust technical solutions.
• Apply clean code principles and improve engineering standards.
• Write and maintain automated tests (unit/integration).
• Participate in Agile ceremonies and coordinate with QA, PMs, and architects.

Skills

Python development

PySpark

ETL pipelines

Distributed data processing

Databricks

SQL & Oracle

Unix/Linux

Shell scripting

Autosys

Automated testing

Agile practices

Code reviews & mentoring

RESTful APIs

Tools

Azure DevOps

Databricks

Job description

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 PythonBuild and optimize data pipelines and workloads on DatabricksDesign, implement, and maintain CI/CD pipelines and release processes in Azure DevOpsAdvise and guide the team on architecture, design decisions, and best practices while the new platform is builtMentor developers and raise the technical level of the team through code reviews and pair programmingDefine and consume RESTful APIs, clearly communicating requirements and constraints across teamsTranslate business and product requirements into robust technical solutionsApply clean code principles and contribute to continuous improvement of engineering standards and toolingWrite and maintain automated tests (unit, integration)Participate actively in agile ceremonies (Scrum/Kanban), including refinement, planning, reviews, and retrospectivesWork closely with QA, product managers, and architects to ensure high-quality, business-aligned deliveriesSupport and improve existing applications in a fast-paced, enterprise investment-banking environment

SKILLS

Must have

• At least 10 years of professional software development experience, including long-term projectsStrong hands-on Python development skillsHands-on experience with PySpark and distributed data processingProven experience designing, building and maintaining ETL pipelinesHands-on experience with DatabricksHands-on experience with Oracle, including strong SQL skills and query and performance tuningGood working knowledge of Unix/Linux and shell scriptingExperience scheduling and monitoring batch jobs with AutosysBackground in Java or C# developmentExperience in automated testing of data pipelines and applicationsClean coding skillsExcellent problem-solving skillsFamiliarity with agile practices (Scrum, Kanban, etc.)Good communication skills and the ability to state requirements clearly to other teams

Nice to have