Data Engineer

Overview

In this role you will help build and maintain data foundations and pipelines to support AI-powered solutions. You will work with AI engineers and ML ops teams to enable trusted data for models and insights. The role suits a recent graduate or early-career professional eager to grow in a modern AI engineering environment. You will operate in a hybrid Birmingham setting with a focus on data quality and actionable analytics that drive intelligent systems.

Pay / Benefits

• hybrid working
• broad flexible benefits scheme
• 2 paid-for volunteering days a year
• career development and lifelong learning opportunities

Responsibilities

• Design and maintain data pipelines to ingest, clean, and normalise 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 and guide data readiness for AI solutions
• 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 normalisation for structured & unstructured data
• Data validation to ensure uniformity and feature engineering when needed
• Entity resolution and deduplication
• Exploratory data analysis (EDA)
• Data quality assessment and monitoring
• Clear technical documentation
• Proficiency in Python

• Clear communication of technical findings to non-technical audiences
• Collaborative working with engineers, analysts, and stakeholders
• Structured, methodical problem solving
• Python
• R
• SQL

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