Python/PySpark developer

Luxoft; Wrocław; Hybrid; PLN 180,000 - 260,000; Full time

Job summary

Luxoft in Wrocław, Poland seeks a senior Python developer to lead the build of a new data and application platform for an investment-banking client. You will design back-end services with Python, PySpark, and Databricks, while shaping architecture, CI/CD, and testing practices in a fast-paced enterprise setting.

You will mentor the team, drive best practices, and collaborate with QA and product managers to deliver high-quality, scalable solutions.

Qualifications

• 8+ years of professional software development experience.
• Strong Python development skills.
• Hands-on PySpark and distributed data processing.
• Experience designing and maintaining ETL pipelines.
• Experience with Databricks.
• Automated testing of data pipelines and applications.
• Knowledge of CI/CD pipelines and Azure DevOps.
• Ability to translate business requirements into technical solutions.
• Excellent problem-solving and communication skills.

Responsibilities

• Design, develop, and maintain scalable back-end services and APIs.
• Build and optimize data pipelines and workloads on Databricks.
• Design and maintain CI/CD pipelines and release processes in Azure DevOps.
• Mentor developers and perform code reviews.
• Define and consume RESTful APIs across teams.
• Participate in agile ceremonies and collaborate with QA and product teams.
• Write and maintain automated tests.
• Support and improve existing applications in investment-banking context.

Skills

Python

PySpark

Databricks

ETL pipelines

CI/CD

REST APIs

Automated tests

Clean code

Agile practices

Communication

Tools

Azure DevOps

SQL

Unix/Linux

Shell scripting

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 8 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 DatabricksExperience 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

Hands-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# development