Purpose Statement
We're looking for a technically versatile Analytics Engineer to sit at the intersection of data engineering and data analysis — To bridge the gap between Data Engineers and Data Analysts by transforming complex data into accessible, reliable and performant data models and insights that drive decision-making across the organisation. You'll collaborate with stakeholders to understand analytical needs, partner with Data Architects and Data Modellers to design scalable models, and build the efficient, reproducible data assets — including data models and marts, semantic layers and working environments — along with the transformations and pipelines that let analysts deliver insights with speed, consistency and minimal frictionat a time when both worlds are running side by side. The team is migrating to a modernised data platform while keeping the legacy environment live. You'll make sure the data stays clean, reliable and accessible across both — and that no one on either side of the transition feels the friction.
What you'll do
Build scalable data models, marts and semantic layers
Design reproducible transformations and pipelines across legacy and modernised environments
Partner with Data Architects and Data Modellers to align on enterprise data strategy
Maintain data quality and governance standards throughout the migration
Productionise reports using engineering principles
Work with CI/CD pipelines, testing frameworks and orchestration tools like Airflow3
Use AI tools — including Copilot and Claude — as active partners in your work
Minimum Experience
Honours degree in an analytics/engineering or STEM or related field, PLUS at least 5yrs relevant experience OR
Bachelor's degree in an analytics or STEM or related field, PLUS at least 8yrs relevant experience OR
Equivalent experience of 8 yrs relevant experience and/or relevant certifications.
At least 5 years' experience in analytics engineering or a related role
Proven track record of delivering scalable data solutions and leading projects
Experience with high-volume data environments
Experience with CI/CD, testing frameworks and orchestration tools (e.g., Airflow)
Experience productionising reports using engineering principles
Qualifications (Minimum)
Bachelor's Degree in Analytical/Data/Technical or Other
Qualifications (Ideal or Preferred)
Honours Degree in Analytical/Data/Technical or Engineering - Other
Knowledge
Advanced grasp of:
Data modelling best practices.
Data governance and quality assurance.
Cloud data platforms and orchestration tools (e.g., Airflow, Prefect).
Understanding of software engineering principles (e.g., CI/CD, testing).