Lead Data Engineer in Cardiff

Lead Data Engineer in Cardiff

Cardiff Full-Time 65000 - 78000 £ / year (est.) Home office (partial)
PVH (Tommy Hilfiger/Calvin Klein)

At a Glance

  • Tasks: Design and build modern data solutions while mentoring a team of engineers.
  • Company: Join a forward-thinking company committed to sustainability and inclusivity.
  • Benefits: Enjoy competitive pay, generous holiday, healthcare, and electric car schemes.
  • Other info: Flexible working options available to support your work-life balance.
  • Why this job: Make a real impact in data engineering while shaping the future of retail analytics.
  • Qualifications: Experience in data engineering and strong communication skills are essential.

The predicted salary is between 65000 - 78000 £ per year.

Are you an experienced data engineer who enjoys solving complex data problems, shaping robust data models and helping others do their best work?

We're looking for a Lead Data Engineer to join our Retail Data Ops team, helping to design, build and improve modern data solutions across the Retail Analytics Data Hub.

This is a hands‑on technical leadership role, working with tools such as Snowflake, ADF and dbt Cloud, while also supporting engineers, engaging with business stakeholders and helping to mature how data pipelines are delivered.

You'll be working across Retail data domains including protection, retirement, annuities and pensions, with a mix of BAU and project-based work

What you'll be doing

  • Designing and building modern data solutions across the Retail Analytics Data Hub
  • Developing scalable data pipelines using modern ELT approaches and tools such as Snowflake, ADF and dbt Cloud
  • Translating business requirements into clear technical specifications, delivery plans and engineering tasks
  • Leading data modelling activity, including Kimball-style fact and dimension design
  • Supporting migration from legacy tooling towards Snowflake‑centred data solutions
  • Working within Scrum teams to refine, plan and deliver data engineering work
  • Mentoring and coaching data engineers across the team
  • Improving standards, documentation, quality, governance and release processes

Who we're looking for

  • Strong experience in data engineering, including building and operating data pipelines
  • Good understanding of data modelling and dimensional modelling, using Kimball principles
  • Experience with modern data tooling such as Snowflake, ADF, dbt Cloud or equivalent technologies
  • Confidence translating business needs into clear technical delivery plans
  • Experience working in Agile or Scrum delivery environments
  • Ability to communicate clearly with technical and non‑technical stakeholders
  • A practical, curious approach to solving problems and improving ways of working
  • Experience mentoring, coaching or supporting other engineers

Here are some of the benefits we offer

  • The opportunity to participate in our annual, performance‑related bonus plan and valuable share schemes
  • Generous pension contribution
  • Life assurance
  • Healthcare Plan (permanent employees only)
  • At least 25 days holiday, plus public holidays, 26 days after 2 years' service. There's also the option to buy and sell holiday
  • Competitive family leave
  • Participate in our electric car scheme, which offers employees the option to hire a brand‑new electric car through tax efficient salary sacrifice (permanent employees only)
  • There are many discounts we offer - both for our own products and at a range of high street stores and online
  • We're creating net‑zero carbon workplaces by 2030 by investing in our sustainable, modern offices across the UK, all designed to bring people together and elevate the in‑person experience

At L&G, we believe it's possible to generate positive returns today while helping to build a better future for all.

If you join us, you'll be part of a welcoming, inclusive culture, with opportunities to collaborate with people of diverse backgrounds, views, and experiences.

Guided by leaders with integrity who care about your future and wellbeing.

Empowered through initiatives which support people to develop their careers and excel.

We care passionately about outcomes rather than attendance and are therefore open to discussing all kinds of flexible working options including part‑time and job shares.

Although some roles have limited flexibility due to customer demand, we accommodate requests when we can.

It doesn't matter if you don't meet every single criterion in this advert.

Instead, think about what you excel at and what else you can bring in terms of strengths, potential and connection to our purpose.

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Lead Data Engineer in Cardiff employer: PVH (Tommy Hilfiger/Calvin Klein)

Intapp is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the accounting and consulting sectors across EMEA. With a strong commitment to employee growth, Intapp provides ample opportunities for professional development and leadership coaching, ensuring that team members thrive in their careers while contributing to the company's strategic vision. The culture is built on accountability and high performance, making it an ideal place for those looking to make a significant impact in a rapidly evolving industry.

PVH (Tommy Hilfiger/Calvin Klein)

Contact Details:

PVH (Tommy Hilfiger/Calvin Klein) Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Data Engineer in Cardiff

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like PVH (Tommy Hilfiger/Calvin Klein)!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead Data Engineer at PVH (Tommy Hilfiger/Calvin Klein).

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like PVH (Tommy Hilfiger/Calvin Klein).

Apply Directly through Our Website

When you find a suitable opening like Lead Data Engineer at PVH (Tommy Hilfiger/Calvin Klein), make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Lead Data Engineer in Cardiff

SQL
Data Pipeline Development
Problem-Solving Skills
Python
Communication Skills
Data Engineering
API Integration

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at PVH (Tommy Hilfiger/Calvin Klein), your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at PVH (Tommy Hilfiger/Calvin Klein). Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at PVH (Tommy Hilfiger/Calvin Klein)

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at PVH (Tommy Hilfiger/Calvin Klein)!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.