Technology and Innovation - Data Engineering Manager

About the role

This is not a pure people-management role — you will be writing code, building pipelines, and architecting data platforms daily alongside your team. We're looking for someone who leads from the codebase, not just from a conference room. If you bring deep implementation experience across Microsoft Fabric, Snowflake, and Databricks and can pair strong architectural thinking with real delivery output, we'd love to hear from you.

What you'll do

• Spend a significant portion of your time writing code — building data pipelines, developing transformation logic, configuring platform services
• Lead, mentor, and grow a team of data engineers while remaining the team's strongest technical contributor and setting the standard through your own code and…
• Design and personally implement scalable data platforms on Microsoft Fabric, Snowflake
• Architect and build lakehouse and data warehouse solutions, defining and coding ingestion patterns, transformation layers, storage strategies, and consumption models
• Own critical and complex implementation work — the toughest pipeline builds, the most challenging performance problems

What you need

• 8–12 yrs of experience
• SQL
• ETL
• Python
• Snowflake
• Databricks
• dbt
• Any graduate

Good to have

• Kafka
• Data modelling
• Spark
• Azure Data Factory
• CI/CD
• Azure