Data Engineering Lead

Significant professional experience in data engineering, including experience leading technical delivery or mentoring engineers

Strong hands-on experience with cloud data platforms, including Databricks and/or Snowflake, and production experience with dbt

Experience designing and implementing data platforms using medallion or comparable layered architecture patterns

Strong Python and SQL skills, with practical experience writing, testing, debugging, and optimising production data pipelines

Experience with data modelling, dimensional modelling, data warehousing, fact and dimension tables, slowly changing dimensions, and analytical data products

Experience building and operating complete ETL or ELT processes, including ingestion, transformation, testing, deployment, and monitoring

Practical experience with Terraform or another infrastructure-as-code approach

Experience building bespoke integrations using Python, REST APIs, or similar technologies

Strong understanding of data reliability, observability, security, access control, and cost management

Experience working with AWS data services and the ability to choose appropriate services for a given use case

Leadership and collaboration

Demonstrated ability to lead through influence, make clear technical decisions, and create alignment across teams

Experience coaching engineers and raising engineering standards across a team

Strong communication, documentation, and stakeholder-management skills

A structured and analytical approach to problem-solving, with sound judgment when working independently

Experience working effectively with geographically distributed and culturally diverse teams

A practical, delivery-focused mindset suited to a growing technology organisation

Nice to have