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# Data Engineer

- **Company:** The Scc
- **Location:** Birmingham, United Kingdom (Remote available)
- **Experience:** Starter
- **Salary:** £26,228
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Data Validation, Data Deduplication, Data Governance, Data Presentation, Data Visualization, DevOps, R (Programming Language), Python (Programming Language), NumPy, Power BI, Cloud Services, SQL Databases, Unstructured Data, Data Processing, Feature Engineering, Apache Spark, Jupyter, Agentic-AI, Git, Data Layers, Pandas, Matplotlib, Scikit Learn, Plotly, Machine Learning Operations, Entity Resolution, Restful APIs, Document Classification, Data Pipelines
- **Published:** October 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=dd0b9b5ef99ff6b1

## About the Role

This role is well suited to a recent graduate or someone in the early stages of their career who has strong fundamentals and a genuine appetite to grow in a modern AI engineering environment., Core Analytical Skills:

 * 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 approach to problem solving
 * Willingness to ask questions and learn from feedback

Nice to have:

 * Exposure to NLP or text classification
 * Familiarity with graph & semantic layers
 * Experience with cloud data platforms
 * Understanding of AI data governance principles

## Description

We are looking for a curious and analytically minded Junior Data Engineer to join our team as we scale AI-powered solutions. You will work alongside AI engineers and ML ops teams to build and maintain the data foundations & pipelines that underpin intelligent systems, from entity resolution and confidence scoring to structured data pipelines and insight generation., * Design and maintain data pipelines that 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, anomalies, and best path forward to create data ready 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
 * Technologies: Python, R, SQL, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Plotly, Jupyter, Dbt, Spark, PowerBi, Git, REST APIs