Lead Data Engineer

Lead Data Engineer

Leeds Full-Time 43200 - 72000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead a talented team of data engineers and shape our data engineering practice.
  • Company: Join Asda, a leading retailer committed to innovation and inclusivity.
  • Benefits: Enjoy a competitive salary, hybrid working, and fantastic perks like discounts and wellbeing services.
  • Why this job: Make a real impact with data while mentoring others in a dynamic environment.
  • Qualifications: Proven experience in data solutions, Azure tools, and strong leadership skills required.
  • Other info: Minimum 3 days in the office; flexible working options available.

The predicted salary is between 43200 - 72000 ÂŁ per year.

This role requires on-site presence at Asda House in Leeds for at least three days per week. We’re really looking forward to having you around! Are you ready to lead from the front and make a real impact with data? We’re on the lookout for a Lead Data Engineer to join our high-performing Data Team. In this pivotal role, you won’t just write code, you’ll shape the direction of our data engineering practice across multiple squads. As the most senior engineer in the team, you’ll combine deep technical expertise with strategic leadership. You’ll mentor and inspire a talented group of data engineers, guiding them through complex challenges and helping them grow. Your work will directly influence the design and delivery of robust, scalable data products that power decision-making across Asda. You’ll collaborate closely with Product Managers, Data Analysts, Visualisation Engineers, Data Architects, and other key stakeholders to ensure our data solutions are not only technically sound but also aligned with business goals. From championing best practices to driving innovation within our Agile community of practice, you’ll be at the heart of our data transformation journey.

If you’re passionate about building high-quality data systems, leading with purpose, and making a tangible difference in a fast-paced environment, this is your opportunity.

Your Role (Key Responsibilities)

  • Provide technical mentorship and direction to data engineers, helping to elevate team capability and maintain engineering standards, but also maximise their potential and promote career growth.
  • Foster a DevOps culture of “you build it, you run it, you own it”, promoting autonomy and ownership across the engineering organisation.
  • Lead best practices in data engineering, code reviews, and development activities, ensuring the highest quality standards.
  • Contribute to the Lead Engineer & Agile communities of practice.
  • Ensure data quality and integrity.
  • Work with structured, semi-structured and unstructured data with varying latencies, from batch through to real-time.
  • Ensure engineering solutions comply with architectural frameworks and best practices defined by Data Architects.
  • Collaborate with Product Managers and Data Analysts to ensure business requirements are translated into scalable, performant data solutions.
  • Evaluate and recommend new technologies and tools to enhance data engineering capabilities.
  • Balance hands-on engineering responsibilities with technical leadership to drive high-quality delivery.

About You (Experience & Qualifications)

  • Proven experience building and maintaining high-quality, secure data solutions.
  • Skilled in operating scalable and high-performance applications in production environments.
  • Prepared to be tenacious and collaborate to drive the right solutions forward.
  • Good understanding of Microsoft Azure tooling including Azure Databricks, preferably with hands-on experience.
  • Strong understanding of data modelling and architectures (e.g. data vaults, data warehousing, data lakes etc.).
  • Experience with Azure based solutions such as Azure Data Factory.
  • Extensive experience with languages such as Python, SQL and, preferably, PySpark.
  • Version control and best practices using Github.
  • Experience in working with Agile frameworks such as Scrum, Kanban, Lean.
  • Excellent communication skills, with the ability to clearly explain technical concepts to non-technical business stakeholders.
  • Demonstrated experience leading and mentoring data engineers.

If you have any questions about the role, then please email clare.tempest@asda.uk

Everything you’ll love

To ensure we balance moments where we know we need to collaborate together and the need for flexibility, Asda has a hybrid way of working with a minimum 3 days a week in one of our Home Offices. Over and above this, each area of Asda may have additional requirements which may require spending more days in the office, visiting suppliers, stores or depots. You will also get an excellent benefits package including:

  • Discretionary company bonus
  • Company pension up to 7% matched
  • Company Car allowance of ÂŁ5,700
  • 15% colleague discount in store and online
  • Free access to wellbeing services such as Wagestream, 24/7 virtual GP, counselling, health and dental cash plans and a 24/7 employee assistance helpline, alongside discounts across a range of services and activities, from airport parking, enhanced to theme parks and cinemas.
  • Asda Allies Inclusion Networks – helping colleagues to make sure everybody is included and that our differences are recognised and celebrated
  • Excellent parental leave policies, including maternity & adoption leave, paternity leave, shared parental leave, neonatal care leave, and support for those doing fertility treatments.

We want all colleagues to be able to bring their best and true selves to work, every day. Simply put, we want our colleagues to be Proud to be Asda and proud to be themselves.

Lead Data Engineer employer: Driver Hire Borders

Asda is an exceptional employer that fosters a collaborative and inclusive work culture, where employees are encouraged to lead with purpose and make a meaningful impact. With a strong focus on professional growth, our Lead Data Engineer role offers extensive mentorship opportunities, a competitive benefits package, and a hybrid working model that promotes work-life balance. Located at Asda House in Leeds, you'll be part of a dynamic team driving innovation in data engineering while enjoying perks like a company bonus, generous parental leave policies, and access to wellbeing services.
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Contact Detail:

Driver Hire Borders Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead Data Engineer

✨Tip Number 1

Familiarise yourself with Asda's data engineering practices and the technologies they use, particularly Microsoft Azure tools like Azure Databricks and Azure Data Factory. This knowledge will help you speak their language during interviews and demonstrate your genuine interest in the role.

✨Tip Number 2

Showcase your leadership skills by preparing examples of how you've mentored or guided teams in previous roles. As a Lead Data Engineer, you'll need to inspire others, so be ready to discuss your approach to fostering a collaborative and high-performing environment.

✨Tip Number 3

Research Asda's business goals and how data engineering contributes to their success. Understanding their strategic objectives will allow you to align your answers in interviews with what they value most, making you a more attractive candidate.

✨Tip Number 4

Prepare to discuss your experience with Agile methodologies, as this is crucial for the role. Be ready to share specific instances where you've successfully implemented Agile practices in your projects, highlighting your adaptability and teamwork.

We think you need these skills to ace Lead Data Engineer

Technical Mentorship
Data Engineering Best Practices
DevOps Culture Implementation
Data Quality Assurance
Data Modelling and Architecture
Microsoft Azure Tooling
Azure Databricks
Azure Data Factory
Python Programming
SQL Proficiency
PySpark Experience
Version Control with GitHub
Agile Methodologies (Scrum, Kanban, Lean)
Excellent Communication Skills
Leadership and Team Development
Collaboration with Stakeholders

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with Microsoft Azure tools and languages like Python and SQL. Emphasise any leadership roles or mentoring experiences you've had.

Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and leadership. Mention specific projects where you’ve made an impact and how your skills align with the responsibilities outlined in the job description.

Showcase Technical Skills: Be explicit about your technical expertise in your application. Include examples of how you've used Azure Databricks, Azure Data Factory, and your experience with Agile methodologies to solve complex problems.

Highlight Collaboration Experience: Since the role involves working closely with various stakeholders, provide examples of past collaborations. Describe how you’ve effectively communicated technical concepts to non-technical team members and contributed to team success.

How to prepare for a job interview at Driver Hire Borders

✨Showcase Your Technical Expertise

As a Lead Data Engineer, you'll need to demonstrate your deep technical knowledge. Be prepared to discuss your experience with Microsoft Azure tools, data modelling, and programming languages like Python and SQL. Bring examples of past projects where you successfully implemented scalable data solutions.

✨Emphasise Leadership and Mentorship Skills

This role requires you to lead and mentor a team of data engineers. Share specific instances where you've guided others through complex challenges or helped them grow in their careers. Highlight your ability to foster a collaborative environment and promote best practices.

✨Understand the Business Context

It's crucial to align technical solutions with business goals. Research Asda's operations and think about how your data engineering skills can support their objectives. Be ready to discuss how you've previously collaborated with product managers and analysts to translate business requirements into effective data solutions.

✨Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving abilities in real-world scenarios. Think about challenges you've faced in previous roles, particularly in Agile environments, and how you overcame them. This will showcase your tenacity and collaborative spirit, which are key for this position.

Lead Data Engineer
Driver Hire Borders
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