Data Engineer

New Today

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.
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Location:
City Of London
Job Type:
FullTime
Category:
IT & Technology

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