Analytics Engineer

About the role

We need this role because reliable analytics depend on well‑designed, well‑tested data foundations. The Analytics Engineer turns raw, complex data into structured, business‑ready datasets that teams can trust every day.

Key responsibilities

• Design, build and maintain production‑ready data models that transform raw data into usable datasets.
• Develop scalable data transformations with strong validation, testing and quality controls.
• Create and optimise semantic layers and aggregation logic that support reporting and analysis.
• Maintain and troubleshoot live data models, resolving incidents and improving performance.
• Lead and influence design decisions, balancing quality, speed and long‑term sustainability.
• Support and guide less experienced engineers through reviews, documentation and practical coaching.

Required profile

• At least 5 years’ experience in analytics engineering or a closely related data role.
• Proven experience delivering and supporting production data models and pipelines.
• Strong data modelling capability and confidence designing business‑ready datasets.
• Advanced SQL skills and experience using Python for data transformation or automation.
• Experience building, testing and deploying data transformations using structured release practices.
• Experience working on cloud data platforms and workflow orchestration tools such as Airflow or Prefect.
• A solid understanding of data quality, governance and documentation.
• Bachelor’s degree in analytics, data, engineering, STEM or a related field.

Required skills

• SQL
• Python
• Data modelling
• Airflow
• Prefect
• Cloud data platforms
• CI/CD principles
• Testing and quality assurance