Graduate Data Engineer

Role Overview

• Applying data engineering fundamentals, including ingestion, transformation, modelling, quality checks, and optimisation
• Working with SQL and Python to build, maintain, and improve data processes
• Supporting the development and maintenance of data models, both operational and analytical
• Building, orchestrating, and monitoring data pipelines across the Microsoft data stack
• Supporting ingestion and transformation workflows to deliver clean, reliable, structured data to analytics teams
• Using Azure Synapse Analytics to manage data warehousing, compute, and analytical workloads
• Working with Azure Data Factory (ADF) to build automated ingestion and transformation pipelines
• Supporting development in Azure Databricks for scalable processing, notebooks, and advanced data transformations
• Assisting with data governance and metadata management, ensuring consistency, lineage awareness, and proper stewardship
• Assisting with Power BI data modelling, dataset preparation, and semantic layer design
• Ensuring that data delivered to reporting teams is structured, governed, and optimised for performance
• Supporting CI/CD for data workloads using Azure DevOps or GitHub Actions
• Contributing to automated deployment, testing, and version control of data pipelines, notebooks, and models
• Helping to apply modern engineering practices such as code reviews, documentation, and automated checks
• Working closely with data analysts and business teams to understand requirements
• Contributing to documentation for data processes, data models, lineage, and platform standards
• Participating in knowledge sharing, stand ups, and improvements to engineering practices.

Requirements

• Strong technical degree (e.g., Computer Science, Software Engineering, Data Science, Mathematics, Engineering, or similar)
• Solid grounding in programming fundamentals (ideally Python or similar high-level language)
• Sound understanding of data concepts: relational databases, SQL, data modelling, and basic analytics
• Exposure to cloud concepts (Azure preferred) with appetite to train into Azure Synapse and modern data platforms
• Analytical mindset with the ability to reason about data quality, performance, and scalability
• Comfortable learning new tools and technologies (e.g. Power BI, Azure services) in a structured environment
• Clear communicator, curious by nature, and able to work collaboratively in cross-functional teams.

Tech Stack

• Azure
• Cloud
• Python
• SQL

Benefits

• 30 days holiday plus public holidays
• 3 days of celebratory leave (to be used for your birthday, wellbeing, volunteering, or other celebratory events important to you)
• Private medical insurance, 24/7 digital GP and health advice
• Employee assistance programme providing support for your mental and physical health
• Group pension scheme
• Life assurance scheme
• Eyecare vouchers
• Enhanced family leave
• Referral scheme