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- Tasks: Lead the Data Engineering team to optimise data workflows and implement best practices.
- Company: Join Women in Data, a community-focused organisation dedicated to empowering women in the data field.
- Benefits: Enjoy flexible benefits, enhanced parental leave, and access to 24/7 counselling support.
- Why this job: Be part of a diverse team that values inclusivity and continuous learning in a dynamic environment.
- Qualifications: Experience in data engineering, cloud technologies, and team leadership is essential.
- Other info: Open to discussing part-time options and committed to supporting applicants with disabilities.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the Lead Data Engineer role at Women in Data 5 days ago Be among the first 25 applicants Join to apply for the Lead Data Engineer role at Women in Data Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Women in Data 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. “Stay connected! Follow us on LinkedIn for updates on career opportunities and more.” Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Analyst Industries Information Services Referrals increase your chances of interviewing at Women in Data by 2x Get notified about new Data Engineer jobs in Nottingham, England, United Kingdom . 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Lead Data Engineer employer: Women in Data
Contact Detail:
Women in Data Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Familiarise yourself with the specific data engineering tools and technologies mentioned in the job description, such as Microsoft Azure and Databricks. Having hands-on experience or projects showcasing your skills with these platforms can set you apart from other candidates.
✨Tip Number 2
Highlight your leadership and coaching abilities, as this role involves managing a team of Senior Data Engineers. Prepare examples of how you've successfully led teams or mentored colleagues in the past to demonstrate your capability in fostering a high-performing environment.
✨Tip Number 3
Understand the business domains relevant to the role, such as Retail, Pharmacy, and Healthcare. Being able to discuss how your data engineering expertise can directly benefit these areas will show your alignment with the company's goals and needs.
✨Tip Number 4
Network with current employees or professionals in similar roles within the company. Engaging with them on platforms like LinkedIn can provide valuable insights into the company culture and expectations, which you can leverage during interviews.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant 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 Women in Data. Mention your experience in coaching teams and fostering a culture of continuous learning, as this is crucial for the Lead Data Engineer position.
Showcase Leadership Skills: Emphasise your leadership experience in your application. Provide examples of how you've successfully managed teams or projects, and how you’ve contributed to optimising data workflows in previous roles.
Highlight Problem-Solving Abilities: Include specific instances where you've tackled complex data challenges. This will demonstrate your strong problem-solving abilities and attention to detail, which are essential for the role.
How to prepare for a job interview at Women in Data
✨Showcase Your Technical Expertise
As a Lead Data Engineer, you'll need to demonstrate your proficiency in data engineering tools and languages like SQL, Python, and Spark. Be prepared to discuss specific projects where you've applied these skills, especially in Microsoft Azure and Databricks.
✨Highlight Leadership Experience
Since this role involves line management, it's crucial to share examples of how you've successfully led teams or coached peers. Discuss your approach to fostering a culture of continuous learning and improvement within your team.
✨Understand the Business Context
Familiarise yourself with the various business domains mentioned in the job description, such as Retail, Pharmacy, and Healthcare. Being able to articulate how your data engineering solutions can add value to these areas will set you apart.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities and attention to detail. Think of specific challenges you've encountered in previous roles and how you overcame them, particularly in data workflows and engineering best practices.
