Senior Data Engineer

• We build and maintain ELT/ETL pipelines using dbt, Python, and orchestration tools.
• We design and optimise data models in Snowflake and manage performance.
• We apply governance, security, and compliance standards to ensure data quality.
• We support analysts and business teams with clean, structured data for reporting and analytics.
• We implement monitoring, alerting, and cost controls for Snowflake and pipelines.
• We help define standards for naming, schema design, and development processes.

Technologies:

• AI
• AWS
• CI/CD
• Cloud
• ETL
• Fivetran
• Git
• Support
• Power BI
• Python
• SQL
• Security
• Snowflake
• dbt

More:

We are part of the Data Analytics & AI team and are building and evolving a Snowflake-based data platform that turns operational data into trusted, analytics-ready assets. Our work supports high-quality reporting, insight generation, and future AI/ML initiatives across the business. We offer the opportunity to work on impactful data engineering work within a collaborative environment focused on best practices, modern tooling, and scalable data solutions.

• We have strong hands-on experience with Snowflake, SQL, Python, and dbt.
• We have a solid understanding of data modelling, data governance, and cloud platforms, with AWS preferred.
• We have experience supporting analytics using BI tools such as Power BI.
• We are familiar with data ingestion tools such as Airbyte and Fivetran.
• We have working knowledge of Git, CI/CD, and modern data engineering practices.