Analytics Engineer
Core
Owns technical data modelling and transformation standards for business domains, ensuring data quality and parity between legacy systems and new dbt models.
Role type
Senior Analytics Engineer (Data Modelling & Transformation)
Builds
Governed, tested data marts and transformation layers on Microsoft Fabric and Azure PostgreSQL.
Domain
Cybersecurity / Data Engineering
Required skills
dbt Core, SQL (T-SQL, PostgreSQL), Dimensional Modelling, Git/CI workflows, Python, AI-assisted engineering, Legacy stored procedure analysis
Preferred skills
Azure PostgreSQL (Elastic Cluster), Microsoft Fabric Warehouse, Airflow, Data-quality/lineage tooling
Technologies
dbt Core, Microsoft Fabric, Azure PostgreSQL, T-SQL, Python, Git
Responsibilities
Model business domains from source to tested marts; Prove value parity between dbt marts and legacy stored procedures; Own and evolve dbt layer standards and enforcement scripts; Repoint consumers from legacy outputs to dbt models; Review pull requests within one working day; Collaborate with Product Analysts to define certified metrics.
Seniority
Senior, hands-on IC