Analytics Engineer

We’re looking for an Analytics Engineer who wants to grow their individual contributor career by solving complex data problems and contributing to the foundations of a modern, self-serve analytics platform. This role is ideal for someone who enjoys working collaboratively, building reusable and scalable data models, and making data more accessible across the business. You will also take on cross-domain technical ownership and contribute to technical strategy and standards across the organisation.

Some of the great things you’ll do:

• Develop and maintain scalable DBT models, transformation pipelines, and analytics workflows.
• Build and support BI reporting and dashboards using modern visualisation tools.
• Partner with analysts, product teams, and engineers to understand business requirements and translate them into robust data solutions.
• Contribute to the design and optimisation of analytics-ready data models with a focus on usability, performance, and maintainability.
• Implement and maintain data quality checks, testing, and documentation to improve trust in analytics outputs.
• Support operational excellence across the analytics stack through automation, monitoring, and continuous improvement.
• Participate in code reviews, knowledge sharing, and team-wide engineering practices.
• Contribute to analytics engineering standards, documentation, and best practices.
• Support platform initiatives including migrations, model refactoring, governance improvements, and technical debt reduction.
• Collaborate effectively across technical and non-technical teams to deliver high-quality outcomes.

Do you have experience in Spark?, We’ve carved a meerkat-shaped niche and we’re looking for ambitious, curious thinkers who thrive in a fast-moving, high-impact environment. If you love accountability, embrace challenge, and want to make a real difference, you’ll fit right in., * Strong SQL skills and experience working with DBT or similar transformation frameworks.

• Experience building analytics-ready data models and reporting solutions.
• Understanding of data modelling principles, testing, and query optimisation.
• Familiarity with modern engineering practices such as Git, CI/CD, and automated testing.
• Strong problem-solving skills and attention to detail.
• Ability to communicate effectively with both technical and business stakeholders.
• A collaborative mindset and willingness to learn and grow in a fast-moving environment.

Nice to have:

• Experience with Databricks, Spark, or Airflow.
• Exposure to cloud data platforms and modern data architectures.
• Experience supporting data platform migrations or modernisation initiatives.
• Familiarity with observability, monitoring, or data reliability practices.