Senior Python Developer & Data Engineer - Risk & Margin

Luxoft; Kraków; On-site; PLN 300,000 - 540,000; 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 a client in the investment banking sector. You will design, develop, and maintain backend services and data pipelines using PySpark and Databricks, while guiding the team on architecture and best practices.

You will mentor engineers, implement RESTful APIs, and contribute to CI/CD processes in Azure DevOps.

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.
• 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).
• Good communication skills and ability to state requirements clearly.

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 and best practices.
• Mentor developers through code reviews and pair programming.
• Define and consume RESTful APIs across teams.
• Translate requirements into robust technical solutions.
• Apply clean code principles and improve engineering standards.
• Write and maintain automated tests (unit, integration).
• Participate in Scrum/Kanban ceremonies and planning.
• Collaborate with QA, PMs, and architects for high-quality deliveries.
• Support and improve existing applications in enterprise investment-banking environment.

Skills

PySpark

ETL pipelines

Databricks

Oracle SQL

Unix/Linux

Autosys

Java/C# background

Automated testing

Agile practices

Restful APIs

Problem solving

Communication

Tools

Databricks

Oracle

Autosys

Unix/Linux

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 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