Harnham · 3 hours ago
Data Engineer
Harnham is modernizing a fragmented legacy environment into a cloud-native data platform built on Databricks and Azure. The Senior Data Engineer will design, build, and optimize end-to-end data pipelines while partnering with various teams to deliver trusted, production-grade data.
Responsibilities
Design, build, and optimize end-to-end data pipelines on Databricks using Python, PySpark, and SQL
Implement and evolve Medallion architecture standards (Bronze, Silver, Gold) across multiple data domains
Develop ingestion frameworks for batch and streaming data, including structured and semi-structured sources
Partner with actuarial, analytics, underwriting, claims, and marketing teams to deliver trusted, production-grade data
Contribute to data governance, observability, cost optimization, and CI/CD best practices within Databricks
Qualification
Required
5–7+ years of experience in Data Engineering with strong, hands-on Databricks expertise
Proven ability to build, explain, and own production-grade pipelines from ingestion to consumption
Deep understanding of Medallion architecture and schema evolution strategies
Strong Python and PySpark coding skills, with solid SQL performance tuning experience
Experience working with cloud data lakes (Azure preferred) and modern file formats (Delta, Parquet, JSON, XML)
Benefits
10% target bonus
Company
Harnham
Harnham has actively chosen to focus on Data and Analytics.
Funding
Current Stage
Growth StageTotal Funding
unknownKey Investors
BGF Ventures
2022-05-01Seed
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