Lead Analytics Engineer

Description:

We are seeking Lead Analytics Engineers to join a public sector organisation’s Data Modelling and Engineering team. This team is responsible for developing and maintaining data pipelines from operational services to the organisation's Analytical Platform.

As a Lead Analytics Engineer, you will not only develop dimensional data models to support analysts, performance teams, and data scientists, but also lead and mentor a team of engineers. Your work will help reduce reliance on manual, inefficient processes by implementing modern, scalable data models.

With new microservices replacing legacy operational databases, significant support is needed to ensure the continuity of data feeds to downstream applications. Current models were developed in a piecemeal manner for specific reports, and this project aims to develop a comprehensive data model that accurately reflects business processes and analytical requirements.

We are looking for a skilled and collaborative individual with a proven ability to lead teams and drive best practices in analytics engineering.

Essential Skills:

• Expertise in SQL and Jinja
• Proficient in dbt, with experience implementing dbt best practices
• Experience leading and mentoring a team of analytics engineers
• Strong understanding of data and business process relationships
• Up-to-date knowledge of analytics engineering practices and developments
• Experience designing and developing conceptual, logical, and physical data models
• Experience ensuring data documentation aligns with user requirements
• Ability to engage and maintain relationships with business stakeholders and cross-functional teams

Desirable Skills:

• Experience in Python programming
• Knowledge of cloud platforms, especially AWS
• Experience building dashboards or data applications
• Familiarity with CI/CD workflows, ideally using GitHub Actions