Data Engineer

AI overview

Design and optimize data architectures while building scalable data pipelines for efficient business insights, collaborating with a global team on innovative data solutions.

Join our team as a Data Engineer! Design and implement robust data pipelines, build scalable data lakes, and enable business insights through efficient data systems. Work remotely from Poland on a B2B contract.

Requirements

Responsibilities

  • Build and maintain scalable data pipelines (ETL/ELT) to collect, transform, and integrate data from various systems into a centralized Data Lake.

  • Design and optimize data architectures for reporting and analytics purposes.

  • Ensure data quality, security, and availability across systems.

  • Collaborate with analysts and stakeholders to define data requirements and support business intelligence efforts.

  • Monitor and troubleshoot data pipelines to ensure smooth operation.

  • Stay updated on industry trends and best practices in data engineering.

Must-Have Requirements

Hard Skills:

  • Proven experience in designing and maintaining data pipelines (e.g., Apache Airflow, Talend, or similar tools).

  • Strong knowledge of SQL and programming languages such as Python.

  • Experience with data lakes and data warehouses (e.g., Snowflake, AWS S3, or BigQuery).

  • Familiarity with cloud platforms (AWS, GCP, Azure) and related services for data processing.

  • Understanding of data modeling and optimizing database performance.

Soft Skills:

  • Analytical mindset with a problem-solving approach.

  • Strong communication skills to work effectively with technical and non-technical stakeholders.

  • Process-oriented and detail-focused, with an emphasis on quality.

Availability

  • Must be available for a 4-hour overlap between 15:00 and 19:00 Poland time to ensure real-time collaboration.

Salary
10 080 zł – 33 600 zł per month
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