Data Engineer

Job Title:

Data Engineer

Location:

Long Stratton, Norfolk NR15 (Hybrid – Fortnightly Office Attendance)

Contract:

Permanent

Hours:

Full time (37 hours per week)

Salary: £63,000 per annum

This is an opportunity to join a growing Data & Analytics team and take ownership of a modern Azure data platform. You'll be responsible for building and maintaining data pipelines, developing data warehouse solutions, and supporting the organisation's move towards Microsoft Fabric.

• Design, build and maintain a scalable Azure-based data warehouse to support reporting, analytics and business intelligence requirements.
• Develop and maintain robust ETL/ELT processes, data integration frameworks and transformation pipelines using Azure Data Factory, Azure Synapse and Microsoft Fabric technologies.
• Support the implementation, optimisation and ongoing development of Microsoft Fabric, including Lakehouse, Warehouse, Data Engineering and Data Pipeline capabilities.
• Design and maintain efficient data models, ensuring data structures support both operational and analytical reporting requirements.
• Build reusable, parameterised and scalable data pipelines that integrate data from multiple internal and external sources.
• Monitor and maintain data pipelines, implementing automated alerting, logging and performance monitoring to ensure platform reliability.
• Work closely with BI Analysts and business stakeholders to understand data requirements and deliver scalable engineering solutions.
• Implement data quality controls, validation rules and automated testing processes to improve data accuracy and consistency.
• Support the development and maintenance of data governance standards, metadata management and technical documentation.
• Ensure compliance with GDPR and data security requirements across all data solutions.
• Contribute to cloud infrastructure decisions, platform optimisation and storage strategies to maximise performance and cost efficiency.
• Utilise Azure Dev Ops and Git to support CI/CD processes, version control and automated deployments.
• Provide technical guidance to colleagues and promote best practice across data engineering and platform development.
• Drive continuous improvement initiatives and identify opportunities to automate manual processes and enhance data accessibility across the organisation.

• Proven experience working as a Data Engineer, Azure Data Engineer, ETL Developer or similar role.
• Advanced SQL skills, including writing, optimising and troubleshooting complex queries, stored procedures and data transformations.
• Strong experience designing and building ETL/ELT pipelines using Azure Data Factory, Azure Synapse, Databricks, Airflow or similar technologies.
• Hands‑on experience working with Azure cloud data platforms, including Data Lake, Synapse Analytics and related services.
• Strong understanding of data warehousing concepts and data modelling methodologies, including star schema and dimensional modelling techniques.
• Experience designing scalable data architectures and integrating data from multiple systems and applications.
• Knowledge of CI/CD processes, source control and deployment automation using Azure Dev Ops, Git or similar tools.
• Experience implementing data quality, validation and monitoring processes.
• Strong understanding of data governance, security principles and GDPR requirements.
• Excellent problem‑solving skills with the ability to identify root causes and implement long‑term solutions.
• Strong communication skills with the ability to engage effectively with both technical and non‑technical stakeholders.
• Ability to manage multiple priorities and deliver high‑quality solutions within agreed timescales.

• Experience working with Microsoft Fabric, including Lakehouse, Warehouse and Data Pipelines.
• Knowledge of Python and/or Scala for data engineering and automation.
• Experience with Docker, Kubernetes or other containerisation technologies.
• Exposure to machine learning pipelines or MLOps frameworks.
• Experience with data quality frameworks such as Great Expectations.
• Knowledge of Dynamics
  365 or housing management systems.
• Microsoft Azure, SQL or Data Engineering certifications.