At a Glance
- Tasks: Lead and shape the Data Engineering team during a period of growth.
- Company: Join a forward-thinking company focused on data and software engineering.
- Benefits: Competitive salary, remote-first work, and clear progression pathways.
- Other info: Opportunity for long-term career growth in a dynamic environment.
- Why this job: Make a strategic impact while leading a talented engineering team.
- Qualifications: Strong background in Data Engineering and leadership experience.
The predicted salary is between 95000 - 110000 £ per year.
We are recruiting a Head of Data Engineering to lead the Data and Software Engineering capabilities of our client during a critical period of growth. They are looking for someone who can join the leadership team and make a significant strategic impact. This is a hands-off leadership position, focused on engineering management, delivery, and governance rather than day-to-day technical contribution. The successful candidate will have a strong Data Engineering background with experience working with Microsoft technologies both on-premise and in a cloud environment. You will play a key role in shaping engineering direction, ensuring high-quality delivery to the business and building a scalable engineering function capable of supporting large, regulated programs.
Responsibilities
- Provide overall leadership for Data and Software Engineering functions, overseeing the management of approximately 30 engineers
- Own engineering delivery, quality and standards across multiple squads
- Act as a senior technical leader capable of constructively challenging engineers and technical decisions
- Ensure engineering outcomes align with business goals and regulatory requirements
- Lead and develop management capability within engineering teams
- Oversee teams based both in the UK and offshore
- Champion strong engineering governance, delivery discipline and continuous improvement
Skills and Experience
- Proven experience in a senior engineering leadership role (Head of Engineering, Head of Data, or similar)
- Strong Data Engineering background with exposure to SQL Server, Azure or Databricks
- Experience leading multi-team engineering organisations
- Strong delivery focus within regulated or complex environments
- Ability to operate as a senior leader rather than a hands-on engineer
What's on Offer
- Salary of up to £110,000
- Permanent role with long-term progression opportunity
- Remote-first working with limited office requirements (West Midlands) for team workshops
- Clear progression pathways
Head of Data Engineering in Stratford-upon-Avon employer: Cyber Security training courses
Contact Detail:
Cyber Security training courses Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Engineering in Stratford-upon-Avon
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant meetups, and engage with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their engineering practices and be ready to discuss how your experience aligns with their needs. We want you to shine, so practice common interview questions and have your own questions ready to show your interest!
✨Tip Number 3
Showcase your leadership skills! In your conversations, highlight your experience in managing teams and driving engineering excellence. We’re looking for someone who can inspire others, so share examples of how you've led teams to success in previous roles.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. We’re excited to see your passion for data engineering and how you can contribute to our client’s growth journey.
We think you need these skills to ace Head of Data Engineering in Stratford-upon-Avon
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your leadership roles and any relevant Data Engineering experience, especially with Microsoft technologies. We want to see how you can make a strategic impact!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for the Head of Data Engineering role. Share specific examples of how you've led teams and delivered quality outcomes in complex environments. We love a good story!
Showcase Your Leadership Style: In your application, let us know about your leadership approach. How do you manage teams and ensure high-quality delivery? We’re looking for someone who can inspire and challenge engineers, so give us a glimpse of your style!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come in through our platform!
How to prepare for a job interview at Cyber Security training courses
✨Know Your Data Engineering Stuff
Make sure you brush up on your Data Engineering knowledge, especially around SQL Server, Azure, and Databricks. Be ready to discuss how you've led engineering teams in the past and how your experience aligns with the company's goals.
✨Showcase Your Leadership Skills
Since this role is all about leadership, prepare examples of how you've successfully managed teams and driven engineering delivery. Think about times when you had to challenge technical decisions and how you ensured quality and standards were met.
✨Understand the Business Context
Familiarise yourself with the company's business goals and regulatory requirements. Be prepared to discuss how you can align engineering outcomes with these objectives, demonstrating that you can think strategically as a senior leader.
✨Emphasise Continuous Improvement
Talk about your approach to engineering governance and how you've championed continuous improvement in previous roles. Highlight any frameworks or methodologies you've implemented to enhance team performance and delivery discipline.