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A data-driven technology company in Germany is seeking an experienced Data Engineer to architect and implement large-scale Python-based data pipelines. You will evolve data extraction processes and own data quality benchmarks, collaborating with cross-functional teams to deliver data products that drive user value. Proficiency in Python and strong analytical skills are essential for this role.
In this role, you will:
Architect and implement large-scale Python-based data pipelines that power Harmonic’s structured understanding of startups, people, and investments.
Continue evolving our data extraction and reconciliation processes with dynamic agents
Own data quality benchmarks across coverage, freshness, and accuracy, and identify new data sources and ingestion techniques that optimize for performance and quality.
Work across the backend stack (databases, search indices and graphql APIs) to bring data to life in the product.
Partner closely with AI/ML, Data Ops, and Product to hit quality and performance OKRs and ship new data products that directly drive revenue and user value.