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For Companies At a Glance
- Tasks: Lead data engineering strategy and build scalable data pipelines for analytics.
- Company: Global Food & Beverage organisation investing in data and analytics.
- Benefits: Competitive salary, 30% bonus, hybrid work model, and leadership opportunities.
- Why this job: Shape the future of data engineering and make a real impact on business growth.
- Qualifications: Proven experience in data engineering, strong technical skills, and team leadership.
- Other info: Join a dynamic team with high autonomy and career development potential.
The predicted salary is between 66000 - 77000 £ per year.
We’re delighted to be partnering exclusively with a global Food & Beverage organisation on their search for a Head of Data & Analytics Engineering. This is a pivotal leadership hire for an award-winning group that’s investing heavily in its data platform and analytics foundations, and is looking for someone to shape the data engineering strategy as the business continues to scale.
You’ll lead the data engineering function end-to-end, defining how data is ingested, modelled, and made available across the organisation, while building and leading a high-performing engineering team in a modern, cloud-based environment.
What you can expect
- A senior, high-autonomy role with ownership of the Data & Analytics Engineering vision and roadmap, underpinning BI, analytics, and AI across the business.
- Responsibility for shaping and delivering the data hydration strategy, building scalable data pipelines and platforms that support self-service analytics and advanced use cases.
- A highly visible role partnering closely with senior stakeholders across technology and the wider business to prioritise initiatives and ensure data products deliver real business value.
- The opportunity to build and lead a growing Data Engineering team, setting technical standards, embedding best practice, and developing engineering capability across the organisation.
- Exposure to vendor and partner management, with accountability for delivery quality, timelines, and budget.
Desired background / skillset
- Proven experience leading Data Engineering or Analytics Engineering functions within a multichannel business.
- Strong hands-on technical background across modern data platforms (cloud data lakes/warehouses, ETL/ELT, SQL, Python), with the ability to operate strategically at leadership level.
- Experience designing and delivering scalable, production-grade data pipelines that support BI, analytics, and AI use cases.
- Tech wise, experience with Azure & Databricks is highly desirable.
- A confident communicator and stakeholder partner, able to translate technical concepts into clear business outcomes.
- Experience building, mentoring, and developing high-performing engineering teams.
This is a rare opportunity to step into a genuinely influential Head-of role, with the support, backing, and autonomy to build the data engineering foundations that enable analytics and AI at scale.
Sound like a bit of you? Great! Please apply with an up-to-date CV and we can take it from there.
Data Engineering Manager in City of London employer: TRIA
Contact Detail:
TRIA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Manager in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream role.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to data engineering. We recommend doing mock interviews with friends or using online resources to get comfortable discussing your experience and technical skills.
✨Tip Number 3
Showcase your projects! Whether it's through a portfolio or GitHub, let your work speak for itself. We want to see how you've tackled real-world problems and built scalable data solutions, so make sure to highlight those achievements.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we’re here to support you every step of the way in landing that Data Engineering Manager role.
We think you need these skills to ace Data Engineering Manager in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Engineering Manager role. Highlight your leadership experience and technical expertise in data platforms, as this will catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've shaped data strategies or led high-performing teams in the past. We love a good story!
Showcase Your Technical Skills: Don’t shy away from listing your technical proficiencies, especially in cloud data lakes, ETL/ELT processes, and tools like Azure and Databricks. We want to see how you can contribute to our data engineering vision!
Apply Through Our Website: For the best chance of getting noticed, make sure to apply through our website. It helps us keep track of applications and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at TRIA
✨Know Your Data Engineering Fundamentals
Brush up on your knowledge of modern data platforms, ETL/ELT processes, and cloud technologies like Azure and Databricks. Be ready to discuss how you've applied these in previous roles, as this will show your hands-on experience and strategic thinking.
✨Showcase Leadership Skills
Prepare examples that highlight your experience in building and leading high-performing teams. Discuss how you've mentored team members and set technical standards, as this role requires strong leadership in a collaborative environment.
✨Communicate Clearly with Stakeholders
Practice translating complex technical concepts into business outcomes. Think of scenarios where you successfully partnered with senior stakeholders to prioritise initiatives and deliver value, as effective communication is key in this role.
✨Demonstrate Strategic Vision
Be ready to articulate your vision for data engineering within a growing organisation. Discuss how you would shape the data hydration strategy and build scalable data pipelines, showing that you can think strategically while also being hands-on.
