Practice Manager - Data Engineering

Coventry Building Society
Coventry
1 month ago
Applications closed

Related Jobs

View all jobs

Assistant Manager, Data Science and Machine Learning, Audit and Assurance

Data Governance Manager

Data Engineering Manager Python SQL AWS

Data Analytics Manager

Data Engineer Expert/Manager

Machine Learning Engineering Manager

About the role

We have an exciting 12- month fixed term contract opportunity for a Practice Manager to join our Data Engineering team within the Chief Data Office.

The Practice Manager will be instrumental in leading the People agenda and will be responsible for maintaining a highly skilled and motivated workforce with an emphasis on Talent Management Development and Coaching to ensure people are engaged and performing at their optimal level.

The person in post will define goals and objectives for a large team and will work closely with Chief Data Office Leadership to deliver a reimagined future state enabled by innovative use of technology and agile ways of working.

Our benefits include:

28 days holiday a year plus bank holidays and a holiday buy/sell scheme Annual discretionary bonus scheme Personal pension with matched contributions Life assurance (6 times annual salary)

Find out more about the fantastic benefits of joining Coventry Building Society.

We do reserve the right to close this advertisement early if we receive a high volume of suitable applications.

About you

As an experienced leader who is passionate about coaching and empowering others to make decisions that lead to great outcomes, you’ll have the ability to create a culture of continuous improvement and will lead, inspire and grow the capability of your team.

To be successful in this role it’s essential that you:

Have experience of leading, developing and inspiring teams Have the ability to quantify resource requirements, measure and communicate proposed outcomes, value, benefits and risks. Are experienced in managing performance and recognising and rewarding performance for a technical team Be an advocate for career paths, identifying development opportunities and an ability to incubate and grow the talent pool. Are resilient and can maintain energy and enthusiasm to embrace situations positively to motivate and inspire.

Desirable experience will be:

Demonstrate previous experience of carrying out a similar role within the financial services sector. Experience in managing a technical team within a Data or IT function.

About us

We’re one of the largest building societies in the UK and we share a mutual goal across our branches and our offices to improve the lives of others.

We’re officially recognised as a ‘Great Place to Work’ and our benefits go beyond basic pay, with a discretionary bonus scheme, a culture of reward and recognition and comprehensive support for wellbeing.

At the beginning of the year, The Co-operative Bank officially became part of our Group. Together, we have shared values and an ethical approach towards our members, customers and colleagues.

We’re serious about equality, of race, age, faith, disability, and sexual orientation and we celebrate diversity. By working together, we know you’ll build more than just a career with us.

All together, better.

Flexibility and why it matters

We understand the need for flexibility, so wherever possible, we’ll consider alternative working patterns. Have a chat with us before you apply to see what the possibilities are for this role. 

Proud to be a Disability Confident Committed Employer

We’re proud to offer an interview or assessment to every disabled applicant who meet the minimum criteria for our vacancies. As part of the application process, disabled applicants can opt in for the Disability Confident Interview Scheme. If there are ever occasions where it is not practicable to interview all candidates that meet the essential criteria, such as when we receive a high number of applications, we commit to interviewing disabled candidates who best meet the minimum essential and desirable criteria.

Location

Coventry

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Quantum-Enhanced Machine Learning—Propelling AI into the Next Frontier

Machine learning (ML) has revolutionised how we interpret data, build predictive models, and create intelligent applications. From recommendation engines and self-driving cars to advanced genomics and natural language processing, ML solutions are integral to nearly every corner of modern life. However, as data complexity and model size continue to skyrocket, the computational demands placed on ML systems grow in tandem—often pushing even high-performance classical computers to their limits. In recent years, quantum computing has emerged as a tantalising solution to these challenges. Unlike traditional digital systems, quantum computers exploit quantum mechanics—superposition and entanglement—to process information in ways that defy conventional logic. As these machines mature, they promise exponential speed-ups for certain tasks, potentially reshaping how we approach AI and data-intensive challenges. What does this mean for machine learning? Enter quantum-enhanced ML, a new frontier where quantum processors and classical ML frameworks unite to accelerate model training, tackle high-dimensional data, and solve complex optimisation tasks more efficiently. In this article, we will: Unpack the current state of machine learning, highlighting key bottlenecks. Provide a concise overview of quantum computing—why it’s radical and how it differs from classical technology. Examine potential breakthroughs in quantum-enhanced ML, including real-world use cases and technical approaches. Explore the roles and skill sets that will define this quantum-AI era, with guidance on how to prepare. Discuss the roadblocks (like hardware maturity and ethical concerns) and how they might be addressed in the years to come. If you’re a machine learning engineer, data scientist, or simply an AI enthusiast fascinated by the next wave of computational innovation, read on—quantum computing could become an integral part of your future toolkit, opening up job opportunities and reimagining what ML can achieve.

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!