Data Engineer

About the role

Join the AI & Data division at CFS to design, build and manage scalable, secure, high‑performance data products that enable insight and decision‑making across the organisation.

Key responsibilities

• Provide technical solutions to enhance data engineering capabilities, ensuring high availability, performance and security of data environments.
• Collaborate with project teams to review code changes, enforce best practices and architectural standards, and produce production‑grade artefacts.
• Work with stakeholders to understand data requirements and ensure the data warehouse meets business needs.

Required profile

• Proven experience as a data engineer designing, building and managing scalable data products.
• Understanding of cloud‑based data engineering principles, data governance and modern data platform architectures.
• Experience in the financial services sector is desirable.

Required skills

• Azure Databricks, Databricks Unity Catalog, Databricks AI suite
• Azure Data Factory, ADLS, Azure Functions
• CI/CD pipelines (Azure DevOps/GitHub), Terraform
• Python, PySpark, DataFrames, SQL
• Data modelling, data governance, metadata management, data lineage

What we offer

• Hybrid working model with an additional day off for your birthday
• Access to CFS Employer Super, Life Leave (3 days per annum) and BUPA health insurance
• Support through Sonder app for medical, mental health and safety needs
• Confidential coaching and counselling services