Your new company
You will join a large, complex organisation with a strong focus on data‑driven decision‑making and enterprise‑scale analytics. The organisation values collaboration, accountability, respect, and continuous improvement, and operates within a structured environment with mature governance, risk, and compliance expectations.
The business is investing in modern cloud‑based data platforms and analytics capabilities to support strategic objectives, operational efficiency, and high‑quality insights across multiple domains.
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).
What you'll get in return
- The opportunity to lead and shape a modern analytics engineering capability within a large, complex organisation.
- Ownership and influence over enterprise‑scale data models, platforms, and standards that directly support strategic decision‑making.
- A collaborative, values‑driven environment that encourages innovation, continuous improvement, and professional growth.
What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.
LHS 297508