Live opening · Posted 3 days ago
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About the role
Description supplied by the original job listing.
About the role.
Mission: Build governed data products, pipelines, analytics and AI-enabled components, and take them into production under company data and responsible-AI governance.
Responsibilities
Design and build data pipelines and data products on a Lakehouse (medallion architecture).
Productionise analytics and AI components (RAG, agents, model evaluation) and monitor them in production.
Implement data quality controls, lineage and observability.
Work with data owners on access, quality remediation and acceptance evidence.
Contribute engineering options and estimates during solution framing.
Must have
6+ years of hands-on data engineering, with solutions running in production.
Strong Python and SQL, with software-engineering discipline (testing, code review, CI/CD).
Experience with cloud data platforms.
Experience putting analytics or ML/AI use cases into production.
Fluent in English (C1)
Preferred:
Azure (ADLS Gen2, Key Vault), Databricks and Unity Catalog, dbt, dltHub, Azure AI Foundry / OpenAI, Power BI or Qlik, asset-heavy or industrial domain.
Employment type
Full-time
Work arrangement
Hybrid
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