Data Engineer

Overview

In this role you will help build and maintain data foundations for AI-powered solutions. You will work with AI engineers and ML ops to support reliable data pipelines, from ingestion to analysis, enabling confident decision making. The role offers hybrid work, a development-focused environment, and the chance to grow in a modern AI engineering setting. You will contribute to scalable data processes that underpin intelligent systems and cross-functional collaboration.

Pay / Benefits

• hybrid working
• competitive salary
• broad flexible benefits scheme
• 2 paid volunteering days per year
• career development and life-long learning opportunities
• inclusive workplace

Responsibilities

• Design and maintain data pipelines that ingest, clean, and normalize data from structured and unstructured sources
• Build logic and confidence scoring frameworks to produce trusted, conflict-free data records
• Clean and validate data to ensure uniformity, accuracy, and consistency across sources
• Produce exploratory data analysis and visualisations to surface trends, anomalies, and paths forward for AI readiness
• Collaborate with AI Engineers & ML Devops to ensure clean, well-attributed data reaches downstream models
• Analyse AI agents usage across the business

Key requirements

• Data wrangling, cleaning, and normalization for structured & unstructured data
• Data validation and feature engineering when needed
• Entity resolution and deduplication
• Exploratory data analysis (EDA)
• Data quality assessment and monitoring
• Proficiency in Python
• Clear technical documentation
• Collaborative working with engineers, analysts, and stakeholders

• Clear communication of technical findings to non-technical audiences
• Collaborative mindset
• Structured, methodical problem solving
• Python
• R
• SQL

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