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- Tasks: Lead data architecture and build scalable data pipelines for AI-driven insights.
- Company: Progressive tech startup in London with a focus on innovation.
- Benefits: Hybrid work environment, competitive salary, stock options, and great perks.
- Why this job: Shape the future of data and analytics in a dynamic startup culture.
- Qualifications: 8+ years in data science and engineering with strong leadership skills.
- Other info: Join a collaborative team and drive impactful projects.
The predicted salary is between 48000 - 72000 £ per year.
A progressive technology startup in London is seeking an experienced Data Group Leader to shape the data architecture and lead cross-functional teams in Data Science and Analytics. You will be responsible for building scalable data pipelines and enabling AI-driven insights. This role demands over 8 years of experience in data science and engineering, strong leadership skills, and a solid grasp of modern data tools. The position offers a hybrid work environment and competitive benefits including stock options.
Head of Data & Analytics Engineering employer: Swap
Contact Detail:
Swap Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data & Analytics Engineering
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and analytics field. Attend meetups or webinars where you can chat with industry leaders and get your name out there. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your past projects, especially those involving scalable data pipelines and AI-driven insights. This will give potential employers a clear view of what you can bring to the table. Don’t forget to share it on your LinkedIn!
✨Tip Number 3
Prepare for interviews by brushing up on your leadership skills and modern data tools. Be ready to discuss how you've led cross-functional teams and tackled challenges in data architecture. We want you to shine and show them why you're the perfect fit for the role!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative. So, don’t hesitate – hit that apply button and let’s get you one step closer to landing that dream job!
We think you need these skills to ace Head of Data & Analytics Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the specific skills and experiences that align with the Head of Data & Analytics Engineering role. Highlight your leadership experience and any relevant projects that showcase your ability to build scalable data pipelines.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this position. Share your passion for data science and analytics, and how your background can help shape our data architecture. Be sure to mention any modern data tools you’re proficient in!
Showcase Your Achievements: When detailing your experience, focus on quantifiable achievements. Did you lead a project that improved data processing times? Did you implement a new tool that enhanced team productivity? Numbers speak volumes, so let them shine!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to attach all your documents in one go. Plus, we love seeing applications come through our own platform!
How to prepare for a job interview at Swap
✨Know Your Data Tools
Make sure you’re well-versed in the modern data tools mentioned in the job description. Brush up on your knowledge of data architecture, pipelines, and any specific technologies the company uses. Being able to discuss these confidently will show that you’re not just a leader but also technically savvy.
✨Showcase Leadership Experience
Prepare examples from your past where you successfully led cross-functional teams. Highlight how you’ve driven projects forward, resolved conflicts, and fostered collaboration. This will demonstrate your leadership skills and ability to manage diverse teams effectively.
✨Emphasise AI-Driven Insights
Since the role involves enabling AI-driven insights, be ready to discuss your experience with AI and machine learning. Share specific projects where you’ve implemented these technologies to derive actionable insights, showcasing your innovative thinking and problem-solving abilities.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy and future goals. This shows your genuine interest in the role and helps you assess if the company aligns with your career aspirations. It’s a great way to engage with the interviewers and leave a lasting impression.
