This organisation is a specialist consultancy that delivers advanced data and AI solutions to a broad range of clients. They work on high-impact projects that involve complex data challenges and innovative technology applications. The team brings together deep technical expertise and a commercial mindset to solve real-world problems and help clients make smarter, data-driven decisions.

As an Analytics Engineer, you’ll design and build scalable, production-ready data pipelines and analytics infrastructure using tools like dbt, SQL, Python, and cloud data warehouses. You’ll work end-to-end—from scoping to delivery—on projects that directly impact clients’ strategic decisions. The role is highly technical and client-facing, with opportunities to mentor junior team members, influence technical standards, and contribute to internal innovation.

Key attributes of the suitable Analytics Engineer include:

• You’ll have 4+ years’ experience in analytics or data engineering, with strong SQL and Python skills, and hands-on experience with dbt, Airflow, and cloud platforms (AWS, GCP, or Azure).
• You should be confident designing ELT/ETL pipelines and working across varied technical stacks.
• Strong communication skills and experience working with stakeholders are essential. Experience in consulting or client-facing roles is a plus.