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For Companies At a Glance
- Tasks: Lead the data engineering function and shape the analytics strategy for a global organisation.
- Company: Join an award-winning Food & Beverage company investing in data innovation.
- Benefits: Competitive salary, 30% bonus, hybrid work model, and leadership opportunities.
- Why this job: Make a real impact by building scalable data solutions and leading a high-performing team.
- Qualifications: Proven experience in data engineering and strong technical skills in modern data platforms.
- Other info: A unique chance to influence data strategy and drive analytics at scale.
The predicted salary is between 79200 - 110000 £ 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 Slough employer: TRIA
Contact Detail:
TRIA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Manager in Slough
✨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 your achievements.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate candidates who are ready to take on exciting challenges in data engineering.
We think you need these skills to ace Data Engineering Manager in Slough
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 hands-on experience with modern data platforms like Azure and Databricks. We want to see how you’ve built scalable data pipelines and supported analytics initiatives.
Apply Through Our Website: For the best chance of success, make sure to apply through our website. It helps us keep track of your application and ensures you’re considered for this exciting opportunity!
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 experience with cloud data lakes and ETL/ELT processes, as you’ll want to showcase your hands-on technical skills during the interview.
✨Showcase Leadership Experience
Prepare examples of how you've successfully led data engineering teams in the past. Highlight your ability to mentor and develop high-performing teams, as this role requires strong leadership. Be ready to discuss specific challenges you faced and how you overcame them to drive team success.
✨Communicate Clearly and Confidently
Since this role involves partnering with senior stakeholders, practice translating complex technical concepts into clear business outcomes. Use relatable examples to demonstrate your communication skills, ensuring that you can convey the value of data engineering to non-technical audiences.
✨Prepare for Strategic Discussions
Think about how you would shape the data engineering strategy for the organisation. Be prepared to discuss your vision for building scalable data pipelines and how you would prioritise initiatives that deliver real business value. This will show that you’re not just a technical expert but also a strategic thinker.
