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- Tasks: Integrate raw data sources and build scalable data warehouses to drive impactful decisions.
- Company: Join Holland & Barrett, a leader in personalised wellness journeys.
- Benefits: Enjoy competitive bonuses, career progression, and 25% discount on products.
- Why this job: Make a real impact in a high-growth business while collaborating with diverse teams.
- Qualifications: 3-4 years of experience in data transformation and advanced SQL skills required.
- Other info: Dynamic environment with excellent learning and development opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Data is the beating heart at Holland & Barrett. Our data teams — Data Engineering, Data Warehousing, BI, Data Science and Product Analytics — enable the company's vision of becoming the world leader in personalised wellness journeys. We aim to provide access to quality data at the speed of thought and to enable data-driven decision making across the organisation. We build and deploy advanced data products that deliver a world-class user experience to our customers.
We are looking for a passionate Senior Data Warehousing Engineer to join our growing Data & Analytics organisation. You'll be part of the Data Warehousing team, collaborating with Data Engineering, BI, Data Science and Product Analytics colleagues to shape the future of data at H&B.
About The Role
As a Senior Data Warehousing Engineer, you'll play a key role in building and scaling our data environment. You will integrate raw data sources — such as sales, supply chain and clickstream data — and design data models that enable BI reporting, customer segmentation and content personalisation. Your work will directly influence how H&B delivers for our customers. You'll work with technologies including Amazon Redshift, Matillion and the AWS ecosystem, and you'll be hands-on with SQL, ELT workflows and data modelling. This is an exciting opportunity to make a big impact in a high-growth business, while collaborating across product, tech and business teams.
What You'll Be Doing
- Integrating raw data sources into the H&B data environment
- Building and scaling our data warehouse in Amazon Redshift
- Designing, building and maintaining ELT workflows
- Developing data cubes and applications to support BI, marketing and analytics
- Writing high-quality SQL and ensuring system health across our data stack
- Partnering with product, tech and business teams to deliver impactful projects
- Contributing to the vision, culture and strategy of the Data & Analytics organisation
Qualifications
- Bachelor's degree in Software Engineering, Computer Science, or related field
- 3–4 years' experience transforming large datasets into analytics and BI solutions (e-commerce experience is a plus)
- Highly advanced SQL skills
- Strong experience with cloud data warehouses (AWS Redshift preferred)
- Experience with at least one programming language (Python preferred)
- A broad technical skillset and eagerness to learn — from Git and Linux to APIs, Docker, NoSQL and serverless tools
- Bonus: experience in data visualisation, analytics or serverless data stacks (Lambda, Kinesis, API Gateway)
- Entrepreneurial mindset, strong communication skills, and a drive to deliver in a fast-paced environment
Benefits
- Technology Incentive Scheme - bonus schemes for all grades in Technology, starting at 10%
- Learning and Development opportunities
- Career progression
- Pension contribution
- 28 or 33 days holiday per year
- Refer and Earn Scheme
- Epic Extras benefits and discounted products (25% discount from day one)
- Free 24/7 confidential advice & colleague welfare
- Mental Health First Aiders and wellbeing support
- Reward and Recognition schemes
Senior Data Warehouse Engineer in London employer: Holland & Barrett
Contact Detail:
Holland & Barrett Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Warehouse Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Holland & Barrett on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with SQL, ELT workflows, and data modelling. This will help you stand out during interviews.
✨Tip Number 3
Be ready to discuss real-world scenarios. Think about how you've tackled challenges in data warehousing before, especially with tools like Amazon Redshift and Matillion. We love seeing problem-solving in action!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at Holland & Barrett.
We think you need these skills to ace Senior Data Warehouse Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Warehouse Engineer role. Highlight your experience with data integration, SQL, and cloud technologies like AWS Redshift. We want to see how your skills align with our mission at Holland & Barrett!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data and how you can contribute to our vision of personalised wellness journeys. Let us know why you're excited about this opportunity and how you can make an impact.
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include examples that demonstrate your ability to transform large datasets into actionable insights. We love seeing real-world applications of your skills, so make it count!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and get you in front of the right people. Don’t miss out on this exciting opportunity!
How to prepare for a job interview at Holland & Barrett
✨Know Your Data Inside Out
Make sure you’re well-versed in the data technologies mentioned in the job description, especially Amazon Redshift and SQL. Brush up on your ELT workflows and be ready to discuss how you've integrated raw data sources in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in previous roles. Think about specific instances where your work directly influenced business decisions or improved processes, as this will resonate with their focus on data-driven decision making.
✨Collaborate Like a Pro
Since the role involves working with various teams, be ready to discuss your experience collaborating across departments. Highlight any projects where you partnered with product, tech, or business teams to deliver impactful results.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the company’s vision and culture. Inquire about their current data challenges or future projects, which will demonstrate your enthusiasm for contributing to their data environment.
