Senior Data Engineer
Location: Nottingham
Contract: Perm
Who we are
International Technology & Advanced Analytics (IT2A) is a multi-national function of Walgreens Boots Alliance (WBA) based in the UK, Europe, Asia, South America and the USA. We use emerging technology and robust data to transform our pharmacy and retail offerings, improve experiences for customers and patients and enhance our operational effectiveness. Partnering with some of the finest tech providers and utilising a cutting-edge tech stack, we support two of the UK’s most trusted and established brands - Boots and No7. We’re a team of specialists spanning security, hosting, architecture, software engineering, networks, project delivery and more. A proud equal opportunity employer, we passionately embrace team member diversity and provide a positive and inclusive working environment for all.
About the role
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 across Retail, Pharmacy, Healthcare, Marketing, Product, Merchandising, Opticians etc
As Senior Data Engineer, you will report to the Head of Analytics Engineering, and lead a domain focused, multi-disciplinary squad focused on building products that drive value from our data. Working with our business you’ll design and implement products that allow us to maximise the value of our data to our customers and patients. Using your data engineering expertise, you’ll coach and support your team building them into a highly performing squad.
What you’ll need to have
- ‘Hands on’ experience of data engineering within an analytics and/or data science 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.
It would be great if you also have
- Experience of developing large scale data engineering solutions in Microsoft Azure cloud technologies (preferably Databricks too)
- Experience of developing data warehouses, Business Intelligence/Management Information, ML and AI solutions
- Experience of line management of engineers
- Knowledge of agile processes such as Scrum
- Knowledge of Pharmacy data domains
Our benefits
- Retirement Savings Plan
- Discretionary annual bonus
- Generous employee discounts
- Enhanced maternity/paternity/adoption leave pay and gift card for anyone expecting or adopting a child
- Flexible benefits scheme including holiday buying, discounted gym membership, life assurance, activity passes and 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. Please note, any salary estimates given on third-party sites are not provided or endorsed by WBA and may not be accurate.
What's next
If your application is successful, our recruitment team will be in touch to arrange an interview and to answer any initial questions you have. If you have not been successful on this occasion, you will be notified by email.
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.
You will 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.
We are proud supporters of Women in Data®. Connect, engage and belong to the largest free female data community in the UK – visit: www.womenindata.co.uk to join our community.
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