Senior Data Engineer

Architecture & Development: Design and implement scalable data pipelines using Apache Spark (PySpark) on Databricks. You will build solutions, not just run scripts.

Optimization: Analyze and optimize complex Spark jobs for performance and cost (partitioning, z-ordering, Photon engine utilization).

Modernization: Migrate legacy data warehouses to the Lakehouse architecture using Delta Lake.

Standards: Enforce high code quality standards through rigorous code reviews and CI/CD implementation (Databricks Asset Bundles).

Mentorship: Share knowledge with the team and act as a technical advisor for clients.

Senior Experience: 5+ years in Data Engineering with a strong focus on distributed systems.

Databricks Expertise: Minimum 3 years of hands-on experience with the Databricks platform. You understand the internals of Delta Lake.

Cloud Native: Production experience with Azure (ADLS Gen2, ADF) or AWS (S3, Glue).

Coding: Advanced proficiency in Python and SQL.

Modern Governance: Experience with Unity Catalog implementation.

Communication: Fluent English (C1+) is mandatory for direct client collaboration.

Competitive Salary: 160 - 210 PLN / hour based on your experience and skills.

Stable Employment: Contract signed with our Polish entity (Entrada AI Poland). We are open to both Employees (UoP) and Independent Contractors (B2B) for long-term cooperation.

100% Remote: Full flexibility to work from anywhere in Poland.

Apple Hardware: Macbook Air M4 15" provided.

Referral Bonus: Bonus for bringing other top-tier engineers to the team.

Professional Growth:

Databricks certification cost coverage.

Support on the path to becoming a Databricks Solution Architect Champion.

Opportunity to present at industry conferences (building your personal brand).

Direct collaboration with Databricks MVPs and product teams.

Introductory Call (20 min): Short conversation with our Recruiter to discuss your background and expectations.

Technical Interview (60 min): Deep dive into your technical skills with our engineering team.

Optional Client Interview: Required only in specific cases.

Decision & Offer: We aim to close the process efficiently.