Data Engineer

We are looking for a driven data engineer who can take ownership of developing our Azure-based data platform. You'll build end-to-end ingestion, transformation, and modelling pipelines that deliver reliable, high-quality data for analytics and decision-making. You'll work closely with engineers, analysts, and stakeholders to solve real data engineering challenges and deliver scalable, cloud-native solutions across the business. This is a hands-on role with plenty of responsibility, ideal for someone who wants to deepen their cloud skills and contribute to an evolving Azure data environment. What you'll do:

• Designing, building, and optimising scalable Azure data pipelines using ADF, Databricks, Data Lake, Synapse, Event Hub, and Logic Apps.
• Supporting the migration of existing Synapse workloads into a modern Azure Medallion architecture.
• Ingesting structured, semi-structured, and unstructured data from a wide range of sources, building metadata-driven and reusable ingestion frameworks (ADF, Python).
• Developing robust transformation pipelines in Databricks (PySpark/SQL), using Delta Lake for incremental loading, versioning, and schema evolution.
• Embedding strong engineering standards including data quality, validation, lineage, error handling, and automated testing.
• Collaborating with senior engineers, analysts, business partners, and external providers to define integration requirements and deliver reliable, scalable solutions.
• Contributing to data modelling, metadata management, and consistent data structures that support analytics and reporting.
• Working within agile delivery cycles participating in sprints, code reviews, CI/CD deployments, and continuous improvement of pipelines.
• Maintaining and troubleshooting existing data processes to ensure reliability, performance, and cost efficiency.
• Documenting pipelines, standards, and processes clearly for both technical and non-technical audiences.

Do you have experience in SQL?, * 3+ years' experience in data engineering within a cloud or enterprise environment.

• Hands-on expertise with Azure Data Factory, Databricks, and Azure Data Lake.
• Strong Python, PySpark, and advanced SQL skills for transformation, automation, and performance optimisation.
• Good understanding of Medallion architecture, Delta Lake, and scalable cloud data design.
• Experience integrating data from APIs, cloud platforms, and file-based systems.
• Familiarity with Git, DevOps practices, and CI/CD pipelines for data engineering deployments.
• Knowledge of data testing, validation, and quality frameworks.

Pulled from the full job description

• Employee discount
• Life insurance
• Employee assistance programme
• Free parking
• Company pension
• Flexible schedule
• On-site parking, Whether you're looking to build a long-term career as we expand across the UK or seeking a job with top benefits, we've got you covered:
• Bonus Incentive
• Flexible hours - start anytime between 8-10 AM and work your 8-hour day your way
• 15% Food to Go Discounts - Greggs, Starbucks, Subway, Popeyes, Chaiiwala & Sbarro
• Free on-Site Parking
• Waterside Café - Freshly prepared meals everyday
• On site Prayer and Ablution Facilities
• Employee Assistance program
• Support for mental and financial wellbeing
• Life Insurance
• Legal Assistance
• Retail Discounts
• Learning & Development Opportunities
• Salary Sacrifice Pension