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- Tasks: Lead the data engineering function and shape the analytics strategy for a global Food & Beverage organisation.
- Company: Join an award-winning group investing heavily in data and analytics.
- Benefits: High-autonomy role with ownership of the data vision and roadmap.
- Why this job: Make a real impact by building scalable data pipelines and leading a high-performing team.
- Qualifications: Proven experience in Data Engineering, strong technical skills in modern data platforms.
- Other info: Rare opportunity to influence data foundations for analytics and AI at scale.
The predicted salary is between 72000 - 108000 £ 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 employer: TRIA
Contact Detail:
TRIA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Manager
✨Tip Number 1
Network like a pro! Reach out to connections in the Food & Beverage industry or data engineering space. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the field. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving data pipelines and analytics. This is your chance to demonstrate your hands-on experience with modern data platforms and how you’ve delivered real business value.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and leadership skills. Be ready to discuss how you would shape the data engineering strategy and lead a high-performing team. Practice articulating complex concepts in a way that resonates with non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re here to support you every step of the way, so let’s make this happen together!
We think you need these skills to ace Data Engineering Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineering Manager role. Highlight your experience with data platforms, cloud technologies, and team leadership. We want to see how your skills align with the job description!
Showcase Your Achievements: Don’t just list your responsibilities; showcase your achievements! Use metrics and examples to demonstrate how you’ve successfully built scalable data pipelines or led high-performing teams. This will help us see the impact you've made in previous roles.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how your background makes you the perfect fit. We love seeing genuine enthusiasm for the position and our company!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Let’s get started on this exciting journey together!
How to prepare for a job interview at TRIA
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest data engineering trends and technologies, especially those mentioned in the job description like Azure and Databricks. Brush up on your knowledge of cloud data lakes, ETL/ELT processes, and how they can be applied to real-world scenarios.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in building and leading high-performing teams. Think about specific challenges you've faced and how you’ve mentored team members to achieve their best. This role is all about leadership, so make sure you convey your ability to inspire and guide others.
✨Communicate Clearly and Confidently
Practice explaining complex technical concepts in simple terms. You’ll need to partner with senior stakeholders, so being able to translate data engineering strategies into business outcomes is crucial. Use clear, concise language and avoid jargon where possible.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems or describe how you would handle specific situations related to data strategy and team management. Think through your approach to building scalable data pipelines and how you would prioritise initiatives to deliver business value.
