Python/Pyspark developer & Data Engineer

Luxoft; Kraków; Vor Ort; PLN 240.000 - 360.000; Vollzeit

Benefits dieser Stelle

Private medical insurance

Dental care

Life insurance

Internal mobility program

Rotation between projects/locations

Zusammenfassung

Luxoft in Kraków is seeking a senior Python developer to lead the build of a new data and application platform for an investment banking client. You will design, develop, and maintain backend services, APIs, and data pipelines with Databricks, while guiding the team on architecture and best practices.

You will also implement CI/CD pipelines in Azure DevOps, mentor engineers, and collaborate across QA, product managers, and architects to deliver high-quality, business-aligned solutions in a

Qualifikationen

• 8+ years of professional software development experience.
• Hands-on 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.

Aufgaben

• Design, develop, and maintain scalable backend 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 deliveries.

Kenntnisse

Python

PySpark

Databricks

ETL pipelines

CI/CD

Azure DevOps

RESTful APIs

Agile practices

Mentoring

Testing

Jobbeschreibung

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