Data Engineer

About the role
We're looking for a hands-on data platform expert to own the reliability, performance, and cost-efficiency of our modern data stack, built on Snowflake, dbt, and managed ELT. You'll be the go-to person for how data flows, how fast it runs, and how much it costs. You'll also shape the operational standards our data teams build on.

If you're a strong Data Architect or Senior Data Engineer who enjoys making platforms run smoothly at scale, we'd love to talk.

What you'll do

• Own Snowflake performance and cost. Tune queries, right-size warehouses, track credit consumption, and drive cost optimisation and budget planning.
• Keep dbt production-grade. Maintain models, automated tests, documentation, and deployment processes.
• Run reliable ELT. Oversee pipelines end to end so data stays available, fresh, and within SLA.
• Build observability. Set up monitoring, alerting, and incident management, and lead root cause analysis and prevention.
• Set the data quality bar. Define standards, automate validation, and embed observability across the platform.
• Govern access and compliance. Manage access controls, governance policies, and regulatory requirements.
• Scale good practices. Create runbooks, CI/CD workflows, and engineering standards for data teams.
• Partner across functions. Work with Data Engineering, Analytics, BI, Security, and Finance to raise platform reliability and efficiency.

What you bring

• Extensive experience in Data Engineering, Analytics Engineering, DataOps, or Data Platform Operations
• Strong hands-on Snowflake expertise: administration, performance tuning, warehouse management, and SQL optimisation
• Advanced dbt (Core or Cloud) skills, including incremental models, macros, testing, and deployment
• Proven experience running production ELT with Fivetran, Airbyte, Stitch, or similar tools
• Solid grasp of DataOps practices: CI/CD, version control, automated testing, and deployment pipelines
• Track record of implementing data quality frameworks, monitoring, alerting, and incident response
• Understanding of data governance, access management, and platform reliability

Nice to have

• Data observability tools such as Monte Carlo, Elementary, or Datafold
• Orchestration with Airflow, Dagster, or Prefect
• Hands-on experience cutting cloud data platform costs, especially Snowflake credits
• Familiarity with GDPR and SOC 2