Data Engineer

Consulting Engineer London (Hybrid) SC Cleared £50 - 55,000 Overview: Anson McCade are working with a cutting‑edge data analytics consultancy that partners with major public and private sector organisations to solve complex, real‑world problems using advanced data and AI platforms. This is an opportunity to join a high‑impact engineering team operating at the intersection of data engineering, analytics, cloud platforms, and client delivery. You’ll work directly with customers, building and deploying solutions that drive meaningful outcomes. The Role As a Consulting Engineer, you’ll take ownership of solution delivery in fast‑moving client environments. You’ll help design and implement analytics platforms, unify fragmented data landscapes, and deliver user‑facing applications that enable smarter decision‑making. You’ll act as a trusted technical partner to clients, combining strong engineering skills with the ability to communicate clearly, adapt quickly, and work iteratively based on real‑time feedback. What You’ll Be Doing • Designing and delivering end‑to‑end data and analytics solutions across complex enterprise environments • Building data pipelines and workflows using Python, SQL, PySpark, and low‑/no‑code tooling • Supporting the development of user‑facing applications and dashboards (TypeScript / React exposure beneficial) • Working closely with stakeholders to translate business problems into scalable technical solutions • Contributing to innovation initiatives and sharing learnings across the wider engineering community What We’re Looking For • Strong problem‑solving mindset with experience delivering data or analytics solutions in client‑facing roles • Solid coding ability in Python and SQL (TypeScript/React exposure a plus) • Good understanding of data engineering principles, ETL pipelines, and modern analytics architectures • Experience or interest in advanced data platforms (experience with Palantir or similar is beneficial but not required) • High emotional intelligence, curiosity, and the ability to work effectively in ambiguous environments