Principal Data Engineer

University of Greenwich
London
1 month ago
Applications closed

Related Jobs

View all jobs

Principal Data Engineer

Principal Data Engineer (GCP)

Principal Data Engineer (MS Azure)

Principal Data Engineer

Principal Data Engineer

Principal Data Engineer (GCP)

An exciting opportunity has arisen for an enthusiastic and motivated individual to join the Information and Library Services Directorate, within the University of Greenwich. Our Information and Library Services Directorate delivers award winning IT services and support, library, academic and digital skills and learning enhancement to staff and students across the university. Our digital mission is to ensure everyone in our community is equipped to effectively use digital services, data and technology with confidence, efficiency and creativity in their learning, teaching, research and organisational support.

The University of Greenwich is on an ambitious journey to become the best modern UK university by 2030. We are investing significantly in our digital infrastructure, student experience, and data capabilities. As part of this transformation, we are seeking a certified Microsoft Fabric professional to join our Data & Analytics team and help shape the future of data-driven decision-making across the university.

The Principal Data Engineer is an exciting new role leading the development of our enterprise data platform using Microsoft Fabric. Within that context, the role holder will be part of the team, with responsibility for the delivery, methods of deployment and management of high-quality business intelligence systems. The enterprise data platform is a key to delivering an enhanced breadth of high-impact analytics and reporting that support the University’s strategic initiatives.

As Principal Data Engineer, you will play an important role in supporting the University to transform the technology that underpins the way that data is managed, and business reporting is produced, by bringing your knowledge and experience of architecting data solutions to this role. You will act as a source of knowledge and experience in the team; supporting, coaching and supervising team members as required. Co-ordinating all day-to-day activities, relating to the enterprise data platform, to ensure the successful implementation and ongoing management of the platforms and tools that underpin it.

We are seeking someone with extensive knowledge of data warehouse development and specifically Microsoft Fabric, along with a keen interest in technology. You will need to be someone with proven data engineering and analytics experience, along with problem-solving and systems analysis skills, and the ability to work in a challenging environment, adapting to changing priorities and timescales and meet deadlines, demonstrating enthusiasm and evidence of a proactive approach to continuous service improvement and opportunity generation.

Experience of large-scale project management is essential, involving supervision of work and proactive liaison with Project Managers, cross-functional team members, consultants and senior users as required. Hence, we are looking for an excellent communicator, with the ability to develop strong working relationships with staff at all levels and thoroughly document your work.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.