Data Engineer; Fabric-Platforms

Base pay range

£50k – £65k

• Work closely with cross‑functional teams, translating complex technical concepts into clear, accessible language for non‑technical audiences and aligning data solutions with business needs.
• Collaborate with a dynamic delivery team on innovative projects, transforming raw data into powerful insights that shape strategic decisions and drive business transformation.
• Utilise platforms and tools such as Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks and Power BI to build robust, scalable and future‑proof end‑to‑end data solutions.
• Design and implement efficient ETL and ELT pipelines, ensuring seamless integration and transformation of data from various sources to deliver clean, reliable data.
• Develop and maintain sophisticated data models, employing dimensional modelling techniques to support comprehensive data analysis and reporting.
• Implement and uphold best practices in data governance, security and compliance, using tools like Azure Purview, Unity Catalog and Apache Atlas to maintain data integrity and trust.
• Ensure data quality and integrity through meticulous attention to detail and rigorous QA processes, continually refining and optimising data queries for performance and cost‑efficiency.
• Develop intuitive and visually compelling Power BI dashboards that provide actionable insights to stakeholders across the organisation.
• Monitor and tune solution performance, identifying opportunities for optimisation to enhance the reliability, speed and functionality of data systems.
• Stay ahead of industry trends and advancements, continuously enhancing your skills and incorporating the latest data‑engineering tools, languages and methodologies into your work.

• Enable business leaders to make informed decisions with confidence by providing them with timely, accurate and actionable data insights.
• Be at the forefront of data innovation, driving the adoption and understanding of modern tooling, architectures and platforms.
• Deliver seamless and intuitive data solutions that enhance the user experience, from real‑time streaming data services to interactive dashboards.
• Play a key role in cultivating a data‑driven culture within the organisation, mentoring team members and contributing to the continuous improvement of the Engineering Practice.

• Proficiency in SQL and Python – highly proficient, enabling you to handle complex data problems with ease.
• Understanding of Data Lakehouse Architecture – strong grasp of the principles and implementation of Data Lakehouse architecture.
• Hands‑On Experience with Spark‑Based Solutions – experience with Spark‑based platforms like Azure Synapse, Databricks, Microsoft Fabric or on‑premise Spark clusters, using PySpark or Spark SQL to manage and process large datasets.
• Expertise in Building ETL and ELT Pipelines – skilled in building robust ETL and ELT pipelines, mostly in Azure, utilising Azure Data Factory and Spark‑based solutions to ensure efficient data flow and transformation.
• Efficiency in Query Writing – can craft and optimise queries to be cost‑effective and high‑performing, ensuring fast and reliable data retrieval.
• Experience in Power BI Dashboard Development – experience in creating insightful and interactive Power BI dashboards that drive business decisions.
• Proficiency in Dimensional Modelling – adept at applying dimensional modelling techniques, creating efficient and effective data models tailored to business needs.
• CI/CD Mindset – naturally work within Continuous Integration and Continuous Deployment (CI/CD) environments, ensuring automated builds, deployments and unit testing are integral parts of your development workflow.
• Business Requirements Translation – knack for understanding business requirements and translating them into precise technical specifications that guide data solutions.
• Strong Communication Skills – ability to effectively translate complex technical topics into clear, accessible language for non‑technical audiences.
• Continuous Learning and Development – commitment to continuous learning and professional development, staying up to date with the latest industry…