Data Engineer

Collaborate with Principal and Senior Data Engineers to design scalable and resilient data solutions as part of a team of five

Build, maintain, and optimise data pipelines across batch and streaming workloads

Leverage Agentic delivery practices to deliver Data outcomes with high velocity and high quality

Coordinate with Platform, Architecture, and Security teams to ensure data platform solutions are designed for performance, security, durability and scalability

Develop robust data models using dbt and orchestrate workflows via both Azure and Google Clouds

Manage and enhance our cloud data warehouses on Snowflake and BigQuery

Ensure best practice in data governance, cataloguing, observability and security

Write clean and efficient code in dbt, SQL, Python, and PowerShell

Improve existing complex SQL, PowerShell, and Python used in both SQL-based and non-SQL-based OLTP and OLAP systems

Work closely with cross-functional teams to deliver impactful data products

Participate in a light rotating on-call schedule (approximately one week per month)

What you’ll bring to the team

Strong understanding of data warehouse, data lake, and modern data engineering and the ability to communicate such

Practice experience working in an agile development environment and familiarity with DevOps culture

Hands-on expertise with Snowflake (or equivalent modern cloud DWH)

Foundational skills in SQL and experience using dbt

Familiarity with data governance and metadata management

Experience with Data Vault 2.0 or NoSQL technologies (e.g., MongoDB, Cosmos DB) is a plus

Passion for clean, scalable, secure and performant data solutions

Strong communication and collaboration skills, solution-focused mindset