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- Tasks: Lead a team to transform raw data into actionable insights for AI systems.
- Company: A leading logistics tech firm in Greater London with a focus on innovation.
- Benefits: Competitive pay, generous equity, private health coverage, and flexible work options.
- Why this job: Make a significant impact by shaping data strategies in a dynamic environment.
- Qualifications: Experience in analytics engineering and strong leadership skills required.
- Other info: Enjoy a mix of in-office and remote work with great career growth potential.
The predicted salary is between 43200 - 72000 £ per year.
A leading logistics tech firm in Greater London is seeking a Head of Data Platform to own the infrastructure for transforming raw data into actionable insights. The role involves leading a team of analytics engineers, developing data strategies, and ensuring accurate data flows for AI systems.
Ideal candidates will have experience in analytics engineering and strong leadership skills. Competitive compensation and benefits offered, including generous equity and private health coverage. This position offers a blend of in-office and remote work.
Head of Data Platform — Scale AI Ready Data Engine in London employer: Relay Technologies
Contact Detail:
Relay Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Platform — Scale AI Ready Data Engine in London
✨Tip Number 1
Network like a pro! Reach out to folks in the logistics and tech space, especially those who work with data platforms. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your experience in analytics engineering and leadership. Use real-world examples of how you've transformed data into actionable insights to impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in data platforms and AI systems. We want you to be able to discuss how you can lead a team effectively while ensuring accurate data flows.
✨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 love seeing candidates who are proactive about their job search.
We think you need these skills to ace Head of Data Platform — Scale AI Ready Data Engine in London
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let your enthusiasm for data and analytics shine through. We want to see how your experience aligns with our mission to transform raw data into actionable insights.
Highlight Leadership Experience: As a Head of Data Platform, strong leadership skills are key. Make sure to showcase any previous experience leading teams or projects, and how you’ve driven success in analytics engineering.
Tailor Your Application: Don’t just send a generic application! We love it when candidates tailor their CVs and cover letters to reflect the specific requirements of the role. Mention how your skills can help us develop effective data strategies.
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’re considered for this exciting opportunity in our logistics tech firm!
How to prepare for a job interview at Relay Technologies
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest trends and technologies in data platforms. Brush up on your knowledge of analytics engineering and be ready to discuss how you've transformed raw data into actionable insights in your previous roles.
✨Showcase Your Leadership Skills
Prepare examples that highlight your leadership experience, especially in managing teams of analytics engineers. Think about challenges you've faced and how you motivated your team to overcome them, as this will demonstrate your capability to lead effectively.
✨Understand the Company’s Vision
Research the logistics tech firm thoroughly. Understand their mission, values, and how they leverage data for AI systems. This will help you align your answers with their goals and show that you’re genuinely interested in contributing to their success.
✨Prepare for Technical Questions
Expect technical questions related to data infrastructure and flow management. Be ready to discuss specific tools and methodologies you’ve used, and how you ensure data accuracy and efficiency. Practising these topics will boost your confidence during the interview.
