Senior Data Engineer

Location: 100% remote work (Poland)  
Start Date: ASAP / within 1 month

About the Role

This position supports a major transformation initiative migrating a large-scale SQL Server environment to a Databricks / Delta Lake platform within an enterprise Exposure platform. The work focuses fully on robust data engineering and software development across a long-lived, mission-critical codebase.

Responsibilities

• Transform complex SQL stored procedures and business logic into clean, scalable Python / PySpark code

• Re design and implement SQL logic within Databricks following software engineering best practices

• Develop production-grade transformation components, packages, and reusable modules

• Design and evolve data models across Bronze, Silver, and Gold layers within a Medallion Architecture

• Work with extremely large data volumes and highly parallel, event-driven processing

• Collaborate in code reviews and technical design discussions

• Ensure maintainability, modularity, and long-term code quality

Nice-to-Have Responsibilities

• Support orchestration workflows in tools such as Azure Data Factory

• Contribute to CI/CD pipelines and DevOps processes

• Provide light support around analytics or reporting tools (non-core)

Requirements

• Very strong Python and PySpark programming skills

• Hands-on experience building on Databricks and Delta Lake

• Experience working in large, shared enterprise codebases (beyond notebook-level development)

• Strong SQL capabilities with the ability to interpret complex logic

• Solid grounding in object-oriented programming and clean code principles

• Experience with enterprise software development workflows, modularization, refactoring

• Strong data modeling background for both transactional and analytical systems

• Familiarity with layered data architectures (Bronze / Silver / Gold) and model redesign during platform migrations

• Ability to explain and reason through code line by line

Nice-to-Have Skills

• Azure Data Factory

• Azure DevOps, Git, CI/CD

• Power BI or similar analytics tools

• Infrastructure or DevOps knowledge

What This Role Is Not

• Not a Data Analyst position

• Not focused on Power BI or reporting

• Not a notebook-only or exploratory data science role

Interview Expectations

• Ability to walk through real production-grade Python / PySpark code

• Clearly explain how the code works, why it was implemented that way, and how it could be improved

• Demonstrate strong software engineering thinking

• Show confidence working in large, long-term data engineering environments

Offer

• B2B contract via Experis

• Multisport card

• Private healthcare (Medicover)

• Access to an e-learning platform

• Group life insurance