Lead Data Engineer

Women in Data®; Nottingham; On-site; GBP 45,000 - 55,000; Full time

Job summary

A leading company is seeking a Lead Data Engineer to enhance their data platform for international divisions. The role involves designing engineering patterns, managing a team, and optimizing data workflows to support data-driven initiatives. Ideal candidates will have expertise in data engineering, leadership skills, and experience with Microsoft Azure. Join a dynamic team committed to continuous improvement and innovation in data solutions.

Benefits

Boots Retirement Savings Plan

Discretionary annual bonus

Enhanced maternity/paternity/adoption leave pay

Flexible benefits scheme

Access to free, 24/7 counselling and support

Qualifications

• Experience developing data warehouses and large-scale data engineering solutions.
• Hands-on experience of data engineering within an analytics environment.
• Experience of line management or team leadership.

Responsibilities

• Design and implement engineering patterns for data maximization.
• Coach and support the data engineering team.
• Optimize data workflows and implement best practices.

Skills

SQL

Python

Spark

Leadership

Problem Solving

Tools

Microsoft Azure

Databricks

Job description

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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.

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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Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Analyst

• Industries

  Information Services

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