Data Engineer

We are actively building diverse teams and welcome applications from everyone.

Role: Junior Data Engineer

Location: Birmingham (SCC operate hybrid working, which comprises of a mix of office and home working)

Contract Type: Permanent

Salary Package: £26,227.50 plus large company benefits, a broad flexible benefits scheme, and 2 paid-for volunteering days a year

Hours: 9.00 am - 5.30 pm Monday - Friday

Interview Process: 2-stage process

Why SCC?

• An inclusive workplace
• Excellent package: solid basic and company benefits
• Hybrid working & core hours in line with role requirements
• Career development and life-long learning opportunities
• Opportunity to join Europe's largest privately-owned IT Company

Role purpose

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.

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.

Key responsibilities

• 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

Skills and experience

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

Data Visualisation

• Designing clear, insight-driven charts and graphs
• Presenting data in pictorial and summary formats
• Translating complex analysis into accessible visuals
• Building dashboards and reporting outputs

Professional skills

• 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