The Data Engineer plays a pivotal role within the Delivery capabilities delivering high-quality solutions using Microsoft Fabric,Databricksand Azure-native technologies. The role may involve running projects independently or leading workstreams within larger and more complex engagements under the direction of a Principal Consultant.
The Data Engineer is the primary point of contact for customers during delivery and is expected to combine strong technical capability with excellent consultancy, communication and leadership skills. You will be responsible for shaping solutions, guiding delivery teams, and ensuring projects are delivered to time, cost and quality expectations, while supporting the development of junior consultants.
Key Responsibilities
Lead the end-to-end delivery of data engineering projects, either independently or as part of larger multi-disciplinaryprogrammes.
Act as the primary servicedeliverycontact for customers, building trusted relationships and providing clear technical leadership.
Demonstrate deep technical expertise in data engineering, understanding how solutions fit within wider customer architectures and business requirements.
Work with customers toidentify,challengeandprioritisebusiness and technical requirements, including running design and discovery workshops.
Translate functional and non-functional requirements into robust, scalable data platform architectures and technical designs.
Design and implement data engineering solutions using Microsoft Fabric and Databricks, followingbest-practiceapproaches.
Produce clear technical documentation and communicate designs using appropriate visualisations (e.g. architecture diagrams, data flows).
Accurately estimate delivery effort, contributing to proposals and addressing variances between pre-sales estimates and detailed requirements.
Convert estimates into delivery plans and manage these throughout the project lifecycle, working with Project Management and Scheduling asrequired.
Provide hands-on technical delivery alongside other consultants whenappropriate.
Take overall responsibility for solution and delivery quality, including code reviews, testingstrategiesand customer acceptance.
Identify,manageand mitigate delivery risks and issues early, drawing on experience to pre-emptlikely challenges.
Ensureappropriate deployment,handoverand transition into support or managed services.
Mentor and support junior consultants, contributing to capability development within the Data Engineering team.
Contribute to intellectual property, reusable assets, marketing content, casestudiesand blogs.
Skills & Attributes Required
Technical Skills
Strong experience designing and delivering modern data engineering solutionsonAzure.
Hands-on expertise with Microsoft Fabric, including Lakehouse, Data Engineering and orchestration capabilities.
Strong experience withDatabricks, including Spark-based data processing andoptimisation.
Solid understanding of data modelling, data integration patterns, and ELT/ETL pipelines.
Experience working with Azure data services such as Azure Data Lake, AzureSQLand related platform components.
Knowledge of DevOps and deployment practices for data platforms (e.g.CI/CD, version control, automated testing).
Consulting & Delivery Skills
Proven experience delivering projects within agreed time,costand quality constraints.
Strong ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.
Experience leading delivery in both waterfall and agileenvironments andadaptingapproach to suit the customer and engagement.
Commercial awareness and consultative mindset, with the ability toidentifyadditionalopportunities and add valueforcustomers.
Personal Attributes
Confident, proactive problem-solver whoremainscalm and reassuring in customer-facing situations.
Strongorganisationaland time management skills, with the ability to manage multiple priorities simultaneously.
A proven self-starter, comfortable working independently while contributing positively to team delivery.
Commitment to continuous professional development andmaintainingup-to-date technical and consultancy skills.
Willingness to mentor others and contribute to a collaborative, knowledge-sharing culture.
Job Benefits
Annual leave, starting at 25 days, increasing to 28 at 3 years and 30 at 5 years.
Matched 4% salary pension contribution
Healthcare cash plan
Private medical cover (following successful completion of probation)
Wellbeing platform
Life assurance, paying 4x basic salary
Income protection insurance (after your first year)
Car salary sacrifice purchase scheme
Personal development through a structured and empowering approach
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