Lead Data Engineer

About the role

Working within a Medallion architecture (Bronze, Silver, Gold) on top of a shared data platform (Snowflake, dbt, Fivetran Airflow, AWS), you will lead the evolution of our data models, transforming complex data streams from disparate source systems - many inherited through acquisitions - into unified, high-integrity datasets.

What you'll do

• Architect the Medallion: Lead the design and evolution of our global data models (Bronze, Silver, Gold). You define the dbt patterns, macros
• Enable Data Producers: Work with domain engineering teams to improve data quality at the source. You help producers understand how their data flows through the Medallion…
• Translate Ambiguity: Act as a technical consultant to product and business stakeholders. You translate high-level business questions into scalable modeling approaches
• Drive Production Excellence: Define the standards for "Always-On"data modeling. You implement automated testing, data quality checks
• Pioneer AI-Assisted Engineering: Lead the practical adoption of AI tools and agentic workflows to accelerate data documentation, quality checks, and modeling productivity

What you need

• 8–14 years in data science & ai
• SQL
• AWS
• Python
• Snowflake
• dbt
• Data modelling
• Any graduate

Good to have

• Airflow
• ETL
• CI/CD
• Test automation
• Git
• VBA