We are seeking an experienced Senior Data Engineer.

The ideal candidate is a self-motivated, multi-tasking team player with a proven track record of collaboration.

We’re working with open-source data platforms and use tools like ClickHouse for fast, real-time analytics and Temporal to manage complex workflows reliably. There are real engineering challenges here, around performance, scale, and clean design- so if that’s your thing, this could be a great fit.

What You Will Do:

• Develop a scalable data platform that integrates multiple sources for easy access.
• Design and enhance data tools, including orchestration, governance, Data Lakehouse, BI, and more.
• Ensure the smooth operation of data systems for analysts, data scientists, and engineers.
• Optimize data pipelines—ingestion, processing, and output—within a microservices environment.

Requirements:

• 5+ years of experience in a data engineering-related position
• SQL expertise, including working with various databases, data warehouses, third-party data sources, and AWS cloud services
• Proficient in Python (OOP + Processing packages like Polars)
• Experience in building, designing, and optimizing data pipelines
• Self-driven, can-do attitude

Nice to Have:

• Experience with Spark
• Experience with Open Table Format (Delta Lake / Iceberg)
• Experience with ClickHouse
• Experience with Temporal Workflow
• Familiarity with ERP systems (big advantage)
• Familiarity with supply chain systems (advantage)
• Passion for open-source tools