Data Engineer in London

The Vacancy

Uniserve is seeking an experienced Data Engineer to join our team and play a pivotal role in designing, building, and optimising our enterprise data platform using Microsoft Fabric. This is a high-impact role for someone passionate about building scalable, secure, and high-performance data solutions that enable advanced analytics and data-driven decision-making across the organisation.

Key Responsibilities:

• Design and implement scalable data architectures using Microsoft Fabric (Lakehouse, OneLake, Spark, Delta Lake).
• Build and optimise complex data pipelines across the Medallion Architecture for analytics-ready data.
• Develop reusable data models, semantic layers, and curated datasets for enterprise-wide use.
• Write production-grade code in Python, SQL, and Scala, following best practices for modularity, testing, and performance.
• Implement and enforce data governance, lineage, and metadata standards (Microsoft Purview).
• Drive adoption of CI/CD, version control, and DevOps practices for data engineering workflows.
• Monitor and resolve performance bottlenecks in Spark jobs and large-scale queries.
• Collaborate with architects, analysts, and business leaders to align data solutions with strategic goals.
• Evaluate and introduce new tools, frameworks, and patterns for scalability and maintainability.
• Contribute to platform reliability, cost optimisation, and security using architectural best practices.

Skills & Experience:

• Proven experience in data engineering with expertise in Microsoft Fabric or similar cloud platforms.
• Advanced proficiency in Python, Spark, and Scala for data processing and pipelines.
• Strong understanding of Medallion Architecture, Delta Lake, and distributed data systems.
• Experience with Spark performance tuning and optimisation.
• Solid knowledge of data governance, lineage, and metadata management (Microsoft Purview preferred).
• Familiarity with CI/CD pipelines, Git, and DevOps practices.
• Ability to design and implement reusable data models and semantic layers.
• Excellent problem-solving and troubleshooting skills.
• Strong communication skills with technical and non-technical stakeholders.
• Relevant qualifications or certifications (e.g., DP-203, CDMP, DGCP, Masters in a related field) are advantageous.

Benefits:

• Competitive Salary: We value your skills and commitment.
• Discretionary Bonus: Because your hard work deserves to be rewarded.
• Pension Scheme: We\’ve got your future covered.
• Annual Salary Review: Your growth matters to us.
• Free Eye Test and up to £69 Vouchers towards Glasses: Taking care of your vision.
• Interest-Free Company Loan: We\’re here to support you.
• Free On-Site Parking: Convenient and hassle-free.
• Cycle to work scheme
• Referral Bonus £750: Spread the word and earn some extra cash.
• Care First Lifestyle Programme: Because your well-being matters.
• Flu Jabs Annually: Stay healthy, on us!
• Life Assurance: We\’ve got you covered.
• Electric Vehicle Charging Points at Work: Embrace sustainable transport.
• Flexible Career Pathway.
• Supply Chain Academy Education Courses: Expand your knowledge through our Apprenticeships and Commercial Courses.