Senior Data Engineer (Azure Databricks & Lakehouse Architecture)

Join an enterprise-scale international organization in the travel and transportation industry specializing in river cruises. You will step in as a critical backfill for a departing veteran engineer who has spent a decade scaling this project. Culturally, this environment operates with a dynamic, startup-like mindset. You will take ownership of evolving a modern cloud data platform, managing data migrations, and designing robust data structures without relying on heavy documentation or rigid formal processes.

Details

Start Date: ASAP (flexible).

Duration: Long-term

Rate: 130–160 PLN/h.

Standard business hours (8:00–16:00 or 9:00–17:00).

Environment: Dynamic, fast-changing, with a flat operational structure

Responsibilities

• Architecture Evolution: Design, build, and optimize enterprise data architectures using Data Lake, Delta Lake, Lakehouse, DWH, and Data Mart configurations.

• Pipeline Engineering: Build and maintain scalable ETL/ELT data pipelines using Azure Data Factory and Databricks.

• Cloud Migration: Guide and support ongoing data and solution migrations from on-premise environments to the Azure cloud.

• Data Modeling: Design, modify, and implement complex data models that align with rapidly shifting business requirements.

• Security & Governance: Ensure all cloud architectures comply with modern data security standards and regulatory best practices.

• Proactive Delivery: Collaborate with international stakeholders, identify technical risks early, communicate blockers assertively, and suggest pragmatic solutions.

Requirements

• Experience Baseline: Minimum 5 years in IT, with at least 3.5 years of production-grade commercial experience dedicated to cloud data engineering.

• Azure Data Stack: Extensive hands-on experience with Azure Data Factory, Azure Data Lake, Azure SQL Server, Azure Synapse Analytics, and Power BI.

• Databricks Ecosystem: Deep expertise in Azure Databricks, focusing specifically on Delta Lake, Delta Live Tables, and Unity Catalog.

• Migration Patterns: Proven track record of handling diverse on-premise to cloud data migration strategies.

• DevOps & Repositories: Solid understanding of Git workflows, repository management, and Azure DevOps CI/CD pipelines.

• Language Proficiency: English at a minimum B2+ level for daily collaboration in an international environment.

Soft Skills & Behavioral Profile

• Thrives in Autonomy: You do not need fully defined processes or comprehensive documentation to make technical decisions.

• Assertive Communicator: Highly proactive, capable of managing up, and comfortable calling out pipeline dependencies or project blockers.

• Adaptable: Highly resilient when priorities shift rapidly.