Senior Data Engineer (Databricks)

Entrada; Polska; Teletrabalho; PLN 180 000 - 320 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

100% Remote

High‑End MacBook Air M4 15"

Referral Bonus

Certification Support

Industry Leadership

Personal Branding

Expert Mentorship

Resumo da oferta

Entrada AI is seeking a Senior Data Engineer to design and implement scalable data solutions for global clients. You will build modern Lakehouse architectures on Databricks, leveraging Delta Lake and Unity Catalog, while advising stakeholders on best practices and long‑term data strategy.

You should have 5–7+ years in Data Engineering, 3+ years in the Databricks ecosystem, and strong Python/SQL skills. This is a 100% remote role open to candidates in Poland, Romania, and Greece, with excellent

Qualificações

• 5–7+ years in Data Engineering or distributed systems.
• 3+ years within the Databricks ecosystem (Delta Lake internals)
• Strong Python and SQL production experience in Azure or AWS
• Knowledge of Unity Catalog and dbt or DLT for orchestration
• Experience with Databricks Apps andPhoton/Liquid Clustering is a plus
• Fluent English (C1+) for stakeholder communication
• Databricks Certifications are encouraged and valued

Responsabilidades

• Architecture & Development: Design and implement scalable data pipelines using Apache Spark (PySpark) on Databricks.
• Modernization: Migrate legacy data warehouses to Lakehouse architecture with Delta Lake.
• Optimization: Analyze and optimize Spark jobs for performance and cost (partitioning, z-ordering, Photon).
• Standards & Governance: Enforce high code quality through CI/CD and Unity Catalog governance.
• Technical Leadership: Share knowledge with the team and advise clients on best practices and data strategy.

Conhecimentos

Python

SQL

PySpark

Delta Lake

Databricks

Azure

AWS

Unity Catalog

dbt

Data modeling

English C1+

Formação académica

Bachelor's degree in Computer Science or related field

Ferramentas

dbt

Delta Live Tables

Unity Catalog

Azure Data Factory

S3

Descrição da oferta de emprego

About Entrada AI

Entrada AI is a specialized consulting partner and a strategic portfolio company of Databricks Ventures. We were recently named the Genie Partner of the Year (2026) for our work deploying Databricks Genie at enterprise scale—bridging the gap between AI ambition and the trusted, governed data required for accurate responses. With over 150 Databricks projects delivered, we unlock self-service analytics for Fortune 500 leaders. Databricks invested in us because of our technical excellence, placing us in the "inner circle" of the ecosystem. For our engineers, this means direct access to product roadmaps, private previews, and the teams building the platform. You will join a team of industry veterans who value clean architecture over quick fixes. We don't just maintain pipelines; we solve complex architectural challenges.

About The Role

As a Senior Data Engineer, you will lead the design and implementation of scalable data solutions for our global clients. You will move beyond simple script-running to architecting modern Lakehouse environments. 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.

Requirements

• Experience: 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).
• Cloud & Engineering: Advanced proficiency in Python and SQL, with production experience in Azure (ADLS Gen2, ADF) or AWS (S3, Glue).
• Modern Data Stack: Expertise in implementing Unity Catalog and familiarity with dbt or Delta Live Tables (DLT) for modern data orchestration.
• Advanced Features: Experience or interest in building data applications using Databricks Apps and utilizing the latest engine features (Photon, Liquid Clustering).
• Governance & Modeling: Strong understanding of data management principles, including data modeling, metadata management, and data quality frameworks.
• Communication: Fluent English (C1+) for direct client collaboration and the ability to act as a technical advisor to stakeholders.
• Credentials: A commitment to technical excellence, ideally backed by Databricks Certifications (e.g., Data Engineer Professional).

The Offer

Cooperation Models:

• Poland: Available via Employment Contract (UoP) or B2B.
• Romania/Greece: Available via B2B only.

• 100% Remote: Full flexibility to work from anywhere in Poland/ Romania / Greece
• High‑End Tech: Apple MacBook Air M4 15" provided to all engineers.
• Referral Bonus: Bonus for bringing other top‑tier engineers to the team.
• Professional Growth:
  • 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.