Lead Data Engineer

The Very Group
Liverpool
1 year ago
Applications closed

Related Jobs

View all jobs

Lead Data Engineer

Lead Data Engineer / Architect – Databricks Active - SC Cleared

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Internal use only – Grade E

About us

We are The Very Group and we’re here to help families get more out of life. We know that our customers work hard for their families and have a lot to balance in their busy lives. That’s why we combine amazing brands and products with flexible payment options on Very.co.uk to help them say yes to the things they love. We’re just as passionate about helping our people get more out of life too; building careers with real growth, a sense of purpose, belonging and wellbeing.

About the Team

Supporting the Customer Management function, the Customer Data Solutions (CDS) engineering team is focused on developing and actioning the strategies for engaging and communicating with our customers through their entire lifecycle - from recruiting and onboarding, through to lapsing.

We work very closely with Marketing functions across both the Retail and Financial Services arms of the business with ties into Customer Care teams, to serve our customers’ needs, and the Technology team to ensure we’re getting the most out of our existing tech stack, including adopting our new cloud-based CRM platform and richly populated data warehouse, and identifying new opportunities to explore.

About the role

As a Lead Data Engineer within the CDS. you’ll play a key role in designing, deploying, managing, maintaining, and reinventing the processes that our customer communications teams rely upon to effectively engage with and manage our customers.

As part of the role you will:

  • Translate business requirements into detailed user stories to be worked across the team to generate robust data processes to support campaign selections, customer profiling and campaign performance reporting and analysis.
  • Manipulate large volumes of data across multiple sources and systems.
  • Develop a deep understanding of the wide variety of data sources available and look to leverage as much benefit from it as possible.
  • Collaborate closely with Campaign Selections, Marketing and Technology teams to ensure customer communications are implemented as effectively, accurately and in as automated a manner as possible.
  • Lead junior colleagues in project work, reviewing and approving their work and otherwise act as an example and mentor to them.

About you

Along with a logical mindset and common-sense approach, you’ll be able to visualise and articulate how multiple systems and processes interact with each other.

  • You’ll have strong SQL or SAS experience as a baseline technical skillset which we can build upon by teaching you our toolkits and the unique pieces of kit we use across the teams.
  • You’ll be comfortable communicating on all areas of your work, able to deliver technical information to technical and non-technical audiences with ease.
  • You’ll have proven experience in defining, scoping and leading delivery of technically complex projects involving rigorous testing.

Some of our benefits

  • Flexible, hybrid working model
  • Inclusive culture and environment, check out our Glassdoor reviews
  • £1000 flexible benefits allowance to suit your needs
  • 30 days holiday + bank holidays
  • Udemy learning access
  • Bonus potential (performance and business-related)
  • Up to 25% discount on Very.co.uk
  • Matched pension up to 6%
  • More benefits can be found on ourCareers Site

 

How to apply

Please note that the talent acquisition team are managing this vacancy directly, and if successful in securing this role, you will be required to undertake a credit, CIFAS, Right to Work checks and if a specific requirement of your role a DBS (criminal records) check. Should your application progress we require you to let the team know if there is anything you need to disclose in relation to any of these checks prior to them being undertaken, including any unspent criminal convictions.  

What happens next?

Our talent acquisition team will be in touch if you’re successful so keep an eye on your emails! We’ll arrange a short call to learn more about you, as well as answer any questions you have. If it feels like we’re a good match, we’ll share your CV with the hiring manager to review. Our interview process is tailored to each role and can be in-person or held remotely.

You can expect a two-stage interview process for this position:

1st stage- An informal 30-45 minute video call with the hiring team to discuss your skills and relevant experience. This is a great opportunity to find out more about the role and to ask any questions you may have.

2nd stage -A one-hour formal interview with a Task and some competency based questions.

As an inclusive employer please do let us know if you require any reasonable adjustments.

If you'd like to know more about our interviews, you can find outhere.

 

Equal opportunities

We’re an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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.

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.

Machine Learning Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords. This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.