Data Ops Engineer

Hays is partnering with a leading organisation who is looking for a Data Ops Engineer to own the DataOps backbone — from pipeline engineering and data quality to governance, CI/CD, and production reliability.

Why this role?

• Own end‑to‑end DataOps for high‑impact AI and data products
• Define the “golden path” for delivering trusted, production‑ready data pipelines
• Work with cutting‑edge Azure data stacks across Fabric, Synapse, Databricks, and lakehouse architectures
• Act as the technical authority for production‑ready data, including governance, lineage, and performance

What we’re looking for:

• 6–8 years in Data Engineering / DataOps / Analytics Engineering
• Strong Azure data platform experience (ADF/Fabric, Synapse, ADLS Gen2, Databricks)
• Expertise in SQL, Python/PySpark, and modern data engineering patterns
• Hands‑on experience with data governance, lineage (Purview), CI/CD, and IaC
• Microsoft Azure Data Engineer Associate (DP‑203) (required)

If you want to shape how data is engineered, governed, and trusted to power AI at scale, this is a standout opportunity.