Data Analytics Engineer Lead

Job Description

Your new role

• Lead, coach, and mentor a team of analytics engineers, fostering technical excellence and continuous learning.
• Set priorities, define clear goals, and ensure timely delivery of data products aligned with organisational needs.
• Promote a culture of collaboration, ownership, and iterative problem‑solving.

From a delivery perspective, you will:

• Scope, design, and build robust, reusable data models using dbt within a cloud‑based data ecosystem.
• Develop and maintain enterprise‑grade data pipelines and analytical datasets to support BI, reporting, data science, and analytical applications.
• Ensure data quality, consistency, and governance through strong documentation, testing, and validation practices.
• Translate complex business requirements into scalable, domain‑driven data architectures.
• Create and maintain ERDs, data flow diagrams, and technical documentation aligned with enterprise standards.

You will also:

• Establish and continuously refine best practices for data modelling, transformation, and delivery.
• Partner with cross‑functional teams to improve the end‑to‑end data product lifecycle.
• Identify opportunities to automate, standardise, and optimise analytics workflows.
• Work closely with business stakeholders to translate strategic objectives into actionable data solutions.

What you’ll need to succeed

• 2+ years’ experience leading or mentoring a technical data team.
• Experience working in large‑scale or enterprise data environments.
• Proven ability to establish and improve data processes and standards at scale.
• Experience designing and interpreting ERDs and database schemas.
• Advanced proficiency in SQL and dbt.
• Experience building data models and pipelines in cloud‑based data platforms (AWS or equivalent).
• Proficiency with Git‑based version control and CI/CD practices (preferred).
• Python proficiency (preferred).
• Experience with BI or visualisation tools such as Power BI (preferred).
• Exposure to data governance frameworks and metadata management practices (preferred).
• Experience with geospatial data (highly regarded).

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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