[Hiring] Senior Data Engineer @Entrada AI

Role Description

As a Senior Data Engineer, you will lead the design and implementation of scalable data solutions for our global clients. This role requires a consultant’s mindset—balancing technical depth with the ability to advise stakeholders on best practices and long-term data strategy.

Key Responsibilities

• Architecture & Development: Design and implement scalable data pipelines using Apache Spark (PySpark) on Databricks.
• Modernization: Migrate legacy data warehouses to the Lakehouse architecture using Delta Lake.
• Optimization: Analyze and optimize complex Spark jobs for performance and cost (partitioning, z-ordering, Photon engine utilization).
• Standards & Governance: Enforce high code quality through rigorous code reviews and CI/CD implementation (Databricks Asset Bundles), while ensuring security via Unity Catalog.
• Technical Leadership: Share knowledge with the internal team and act as a strategic technical advisor for clients.

Qualifications

• 5–7+ years in Data Engineering or distributed systems, with at least 3 years of deep, hands-on experience specifically within the Databricks ecosystem (including Delta Lake internals).
• Advanced proficiency in Python and SQL, with production experience in Azure (ADLS Gen2, ADF) or AWS (S3, Glue).
• Expertise in implementing Unity Catalog and familiarity with dbt or Delta Live Tables (DLT) for modern data orchestration.
• Experience or interest in building data applications using Databricks Apps and utilizing the latest engine features (Photon, Liquid Clustering).
• Strong understanding of data management principles, including data modeling, metadata management, and data quality frameworks.
• Fluent English (C1+) for direct client collaboration and the ability to act as a technical advisor to stakeholders.
• A commitment to technical excellence, ideally backed by Databricks Certifications (e.g., Data Engineer Professional).

Requirements

• Available via Employment Contract (UoP) or B2B in Poland.
• Available via B2B only in Romania/Greece.
• 100% Remote: Full flexibility to work from anywhere in Poland/Romania/Greece.

Benefits

• High-End Tech: Apple MacBook Air M4 15" provided to all engineers.
• Referral Bonus: Bonus for bringing other top-tier engineers to the team.
• Certification Support: Coverage for all Databricks technical certifications.
• Industry Leadership: Support in reaching the highest tiers of Databricks expertise (such as the Champion program) tailored to your specific career track.
• Personal Branding: Opportunities to present at global industry conferences and contribute to technical thought leadership.
• Expert Mentorship: Direct collaboration with Databricks MVPs and core product teams, giving you a front-row seat to the platform's evolution.

Recruitment Process

• 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 and provide feedback efficiently.