Senior Product Engineer - Data, AI & Analytics
Core
Build governed data products, pipelines, analytics, and AI-enabled components (RAG, agents) and take them into production under responsible-AI governance.
Role type
Senior Product Engineer (Data, AI & Analytics)
Builds
Data pipelines on Lakehouse (medallion architecture), productionized analytics and AI components, data quality controls, and observability.
Domain
Data engineering, AI/ML production, Cloud data platforms
Deliverable
production ML models
Required skills
Python, SQL, Cloud data platforms, Data pipeline design, Data quality controls, CI/CD, Software engineering discipline
Preferred skills
Azure (ADLS Gen2, Key Vault), Databricks, Unity Catalog, dbt, dltHub, Azure AI Foundry, Power BI, Qlik, Asset-heavy or industrial domain knowledge
Technologies
Python, SQL, Azure, Databricks, dbt, Power BI, Qlik
Responsibilities
Design and build data pipelines and data products on a Lakehouse; Productionise analytics and AI components and monitor them; 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.
Seniority
Senior, hands-on IC
