Data Engineering Lead

Unite Students
Bristol
1 year ago
Applications closed

Related Jobs

View all jobs

Lead Data Engineer

Lead Data Engineer

Developer with Data Engineering focus

Lead Data Engineer

Tech Lead / Lead Data Engineer - Outside IR35 - SC + NPPV3 Cleared

Lead Data Engineer

The Role

We`re all about creating a Home for Success for our students, using technology and data to empower them to find their home, their tribe and have a great stay with us through their studies.

We are seeking an experienced and highly skilled Data Engineering Lead to join our dynamic and innovative team. As the Data Engineering Lead, you will be responsible for leading a team of data engineers in the design, development, implementation, and maintenance of our data analytics platform. You will play a crucial role in our technology transition, migrating and modernising the analytics technology and data models to enable the continued growth of analytics and data science within Unite Students.

What You`ll Be Doing

Lead and mentor a team of data engineers, providing hands-on technical guidance across the development lifecycle, fostering a collaborative and high-performance team environment which delivers on the needs of the growing analytics community within the business. Work closely with the BI Developers and Data Scientists in the team to deliver visualisation and analysis products which drive business value and understanding across a variety of domains including sales, people, sustainability, higher education and asset management. Collaborate with cross-functional teams, product owners, architects, and governance to define requirements, specifications and ensure alignment. Design scalable and efficient processes and physical data architectures that align with the architectural data vision, business objectives, meet security and governance requirements and support future scalability. Create and maintain a culture of continuous improvement within the team; conduct code reviews to maintain code quality, identify areas for improvement, and ensure adherence to established standards. Support / Lead team scrum processes and ceremonies. Prioritise and refine backlog with key stakeholders and partners. Define and enforce coding standards, best practices, and development processes to help us move to an automation first mentality. Create and maintain comprehensive platform documentation, including data lineage, process guides, and code documentation. Work with the Analytics team and other technical teams to perform proof of concepts on new technologies and being comfortable to fail fast, learn faster. Stay up to date on industry trends, emerging technologies, and best practices in data development.

What We`re Looking for in You

A proactive and visionary individual, capable of helping to shape future direction and effectively communicate with both technical and non-technical stakeholders. Highly collaborative, with strong problem solving skills and ability to take initiative and drive projects forward. Sound problem-solving skills with the ability to quickly process complex information and present it clearly and simply Utilises team collaboration to create innovative solutions efficiently Passionate about technology and excited about the impact of emerging / disruptive technologies Proven learning agility on both the technical and business process realms Bachelor`s or Master`s degree in Computer Science, Software Engineering, or a related field. Proven experience as a technical lead in data development, working within an agile methodology. Strong proficiency in SQL and Python. In-depth knowledge of data design principles and database technologies, including traditional data warehousing and big data frameworks. Familiarity with technologies such as Airflow, Talend, AWS Lambda, Redshift, S3, and analytics/visualisation platforms such as Databricks and Tableau. Experience with testing, versioning, and documentation tools. Knowledge and experience with low-code technologies such as SnapLogic. Excellent leadership, communication, and collaboration skills.

What You`ll Get in Return

An annual bonus so you can share in the company`s success 25 days` paid holiday Pension - based on how much you save, we`ll contribute 1% more Flexible working opportunities Shared Parental Leave - 18 weeks full pay Other benefits include, ShareSave, Bike to Work, Charity Match, amazing discounts and more!

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.