Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the design and implementation of data engineering solutions to maximise data value.
- Company: Join Boots UK, a leading retailer committed to inclusivity and diversity.
- Benefits: Enjoy flexible working options, generous leave policies, and a range of corporate perks.
- Why this job: Be part of a culture that values continuous learning and impactful data-driven initiatives.
- Qualifications: Experience in data engineering, cloud technologies, and team leadership is essential.
- Other info: Open to discussing part-time roles and providing support during the application process.
The predicted salary is between 36000 - 60000 £ per year.
Boots UK Nottingham, England, United Kingdom
Join or sign in to find your next job
Join to apply for the Lead Data Engineer role at Boots UK
Boots UK Nottingham, England, United Kingdom
Join to apply for the Lead Data Engineer role at Boots UK
Get AI-powered advice on this job and more exclusive features.
The Data Platform team builds and maintains our self-serve data platform for our international divisions. Seeking to better align ourselves with our organisation needs, we take a business domain-oriented approach to organising our data engineering and data products. Data domains are very broad across our business encompassing Retail, Pharmacy, Healthcare, Marketing, Product, Merchandising, Opticians etc.
As a Lead Data Engineer, you will work with the platform teams to design and implement engineering patterns that allow us to maximise the value of our data for our customers and patients. You will report to the Head of Analytics Engineering and you will line manage Senior Data Engineers. Using your data engineering expertise, you will coach and support your team, building it into a high performing team fostering a culture of continuous learning and improvement. Your expertise will be crucial in optimizing data workflows and implementing best practices to support our data-driven initiatives.
What you’ll need to have
These are the essential skills or experience needed to succeed in this role.
- Experience developing data warehouses, Business Intelligence/Management Information or ML and AI solutions
- Experience developing large scale data engineering solutions in Microsoft Azure cloud technologies (preferably Databricks too)
- ‘Hands on’ experience of data engineering within an analytics environment.
- Expert knowledge of one or more data languages including SQL, Python and Spark.
- Experience of coaching and developing your peer’s knowledge and understanding of modern data engineering principles and practices.
- Experience of data warehousing techniques such as Kimball dimensional modelling.
- Experience of line management or team leadership.
- Excellent communication, organizational and leadership skills.
- Strong problem-solving abilities and attention to detail.
It would be great if you also have
These are desirable skills or experience and are not essential, so we would welcome applications from candidates that don’t match this additional criteria.
- Knowledge of agile processes such as Scrum, SAFe (Scaled Agile Framework)
- Experience of project delivery & commercial awareness
- Experience working within a domain-based or data mesh architecture.
- Boots Retirement Savings Plan
- Discretionary annual bonus
- Enhanced maternity/paternity/adoption leave pay and gift card for anyone expecting or adopting a child
- Flexible benefits scheme including option to buy additional holiday, discounted gym membership, life assurance, activity passes and much more.
- Access to free, 24/7 counselling and support through TELUS Health, our Employee Assistance Programme.
We have a great range of benefits in addition to the above that offer flexibility to suit you – find out more at boots.jobs/rewards. Exclusions may apply, eligible roles only. Please note, any salary estimates given on third-party sites are not provided or endorsed by Boots and may not be accurate.
Why Boots
At Boots, we foster a working environment where consideration and inclusivity help everyone to be themselves and reach their full potential. We are proud to be an equal opportunity employer, passionate about embracing the diversity of our colleagues and providing a positive and inclusive working environment for all. As the heart of everything we do at Boots, with you, we change for the better.
What\’s next
Where a role is advertised as full-time, we are open to discussing part-time and job share options during the application process. If you require additional support as part of the application and interview process, we are happy to provide reasonable adjustments to help you to be at your best.
This role requires the successful candidate to complete a Pre-employment check after receiving an offer. Depending on your location you will be asked to submit either a DBS (Disclosure & Barring Service), PVG (Protection of Vulnerable groups) or an Access NI Check.
Boots is a Ban the Box employer and will consider the suitability of applicants with criminal convictions on a case-by-case basis.
#LI-Onsite
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Information Technology
-
Industries
Retail
Referrals increase your chances of interviewing at Boots UK by 2x
Sign in to set job alerts for “Data Engineer” roles.
Nottingham, England, United Kingdom 2 weeks ago
Derby, England, United Kingdom 2 weeks ago
Nottingham, England, United Kingdom 5 days ago
Derby, England, United Kingdom 2 weeks ago
Nottingham, England, United Kingdom 20 hours ago
Nottingham, England, United Kingdom 5 days ago
Worksop, England, United Kingdom 3 days ago
Nottingham, England, United Kingdom 2 days ago
Leicester, England, United Kingdom 20 hours ago
Nottingham, England, United Kingdom 3 months ago
Loughborough, England, United Kingdom 20 hours ago
Derbyshire, England, United Kingdom 1 month ago
Matlock Bath, England, United Kingdom 20 hours ago
Loughborough, England, United Kingdom £45,000.00-£55,000.00 3 weeks ago
Mansfield, England, United Kingdom 1 week ago
Nottingham, England, United Kingdom 2 days ago
Belper, England, United Kingdom 5 days ago
Leicestershire, England, United Kingdom 2 weeks ago
Nottingham, England, United Kingdom 1 week ago
Nottingham, England, United Kingdom 1 week ago
Nottingham, England, United Kingdom 1 week ago
Burton Upon Trent, England, United Kingdom 3 weeks ago
Shirebrook, England, United Kingdom 2 weeks ago
Nottingham, England, United Kingdom 2 weeks ago
Nottingham, England, United Kingdom 4 days ago
Mansfield, England, United Kingdom 3 hours ago
Derbyshire, England, United Kingdom 2 hours ago
Loughborough, England, United Kingdom 1 week ago
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Lead Data Engineer employer: Boots UK
Contact Detail:
Boots UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Familiarise yourself with Boots UK's data platform and its business domains. Understanding how data engineering aligns with their retail, pharmacy, and healthcare sectors will help you demonstrate your knowledge during interviews.
✨Tip Number 2
Showcase your experience with Microsoft Azure and Databricks by preparing specific examples of projects you've worked on. Be ready to discuss how you optimised data workflows and implemented best practices in those environments.
✨Tip Number 3
Highlight your leadership skills by preparing anecdotes about how you've coached or developed team members in the past. Boots values a culture of continuous learning, so be sure to convey your commitment to fostering that environment.
✨Tip Number 4
Research agile methodologies like Scrum and SAFe, as they are mentioned in the job description. Being able to discuss your familiarity with these processes can set you apart from other candidates.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, particularly with Microsoft Azure and data warehousing techniques. Use specific examples that demonstrate your expertise in SQL, Python, and Spark.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your skills align with the role at Boots UK. Mention your experience in coaching teams and implementing best practices, as these are key aspects of the position.
Showcase Relevant Projects: Include details of any relevant projects you've worked on, especially those involving large-scale data solutions or analytics environments. Highlight your problem-solving abilities and attention to detail in these examples.
Prepare for Potential Questions: Anticipate questions related to your leadership experience and your approach to fostering a high-performing team. Be ready to discuss your knowledge of agile processes and how you would apply them in this role.
How to prepare for a job interview at Boots UK
✨Showcase Your Technical Skills
As a Lead Data Engineer, you'll need to demonstrate your expertise in data engineering tools and languages like SQL, Python, and Spark. Be prepared to discuss specific projects where you've successfully implemented these technologies, especially in a Microsoft Azure environment.
✨Emphasise Leadership Experience
Since this role involves line management, highlight your experience in coaching and developing team members. Share examples of how you've fostered a culture of continuous learning and improvement within your previous teams.
✨Understand the Business Context
Boots UK values a business domain-oriented approach. Familiarise yourself with their various domains such as Retail, Pharmacy, and Healthcare. Be ready to discuss how your data engineering solutions can align with and support their organisational needs.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities and attention to detail. Prepare examples of complex data challenges you've encountered and how you approached them, showcasing your analytical thinking and technical skills.
