Analytics Engineer II

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.

• 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
• Product ionise 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

• 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 product ionising reports using engineering principles

• Bachelor s Degree in Analytical/Data/Technical or Other

• Honours Degree in Analytical/Data/Technical or Engineering - Other

• 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).

• Clear criminal and credit record

Profile description:

We're looking for a technically versatile Analytics Engineer to sit at the intersection of data engineering anddata analysis — To bridge the gap between Data Engineers and Data Analysts by transforming complex datainto 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 Architect sand Data Modellers to design scalable models, and build the efficient, reproducible data assets — includingdata 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 legacyenvironment live. You'll make sure the data stays clean, reliable and accessible across both — and that no oneon either side of the transition feels the friction.