Senior Data Engineer

We are looking for an experienced Senior Data Engineer to help design and implement a modern data lakehouse platform from scratch. This role combines hands-on engineering with strategic decision-making around scalable data solutions.

💼 Responsibilities:

• Design and implement a greenfield data lakehouse architecture.

• Build and optimize data models, schemas, and integration patterns.

• Develop scalable data storage and processing solutions using Azure and open-source components.

• Implement data ingestion pipelines (ETL/ELT) and high-performance query APIs.

• Integrate the platform with enterprise systems, ensuring data consistency and quality.

• Create technical documentation, establish standards, and define data governance policies.

✅ Requirements:

• At least 4 years of hands-on experience with Microsoft Azure data services.

• Proven track record of delivering large-scale data projects using Azure / Databricks / Spark.

• Proficiency with Microsoft Azure Data Platform (Synapse, Data Factory, SQL Databases, Data Lake).

• Practical experience with Spark or other big data frameworks.

• Excellent knowledge of SQL, including query optimization.

• Strong skills in .NET Core.

• Solid understanding of data modeling techniques and pipeline design (ETL/ELT).

🎁 We offer:

• 100% remote work and flexible hours

• Private healthcare & multisport card

• Competitive compensation: 25 000 – 35 000 PLN (B2B).

• Opportunity to build a greenfield data platform from the ground up.

• Work with the latest cloud-based technologies.

• High degree of independence and real impact on technology choices.