Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead and develop analytics engineering functions, ensuring data quality and delivery of ELT pipelines.
- Company: A leading digital advertising company in London with a focus on innovation.
- Benefits: Competitive salary up to £100,000, 25% bonus, and hybrid work flexibility.
- Why this job: Join a dynamic team and make a significant impact in the digital advertising space.
- Qualifications: Expertise in analytics/data engineering, SQL, Python, and strong leadership skills.
- Other info: Enjoy the freedom to work from anywhere for 40 days a year.
The predicted salary is between 60000 - 84000 £ per year.
A leading digital advertising company in London is seeking a Senior Recruitment Consultant to manage and develop an analytics engineering function. This senior role requires expertise in analytics/data engineering, SQL, and Python, along with strong leadership capabilities.
You will lead the delivery of ELT pipelines, ensuring data quality and partnering with various teams.
This position offers hybrid work, competitive compensation of up to £100,000 plus a 25% bonus, and the chance to work from anywhere 40 days a year.
Senior Analytics Engineering Manager — Hybrid London employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineering Manager — Hybrid London
✨Tip Number 1
Network like a pro! Reach out to your connections in the analytics and data engineering space. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your work with SQL and Python. This will help you stand out during interviews and demonstrate your expertise.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms to refine your answers, especially around leadership scenarios and ELT pipeline delivery.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that Senior Analytics Engineering Manager role, so make sure you take advantage of them.
We think you need these skills to ace Senior Analytics Engineering Manager — Hybrid London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in analytics/data engineering, SQL, and Python. We want to see how your skills align with the role, so don’t be shy about showcasing your leadership capabilities!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Senior Analytics Engineering Manager role. Share specific examples of your past achievements and how they relate to what we’re looking for.
Showcase Your Teamwork Skills: Since this role involves partnering with various teams, make sure to highlight your collaboration experiences. We love seeing how you’ve worked with others to deliver successful projects in the past!
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. Plus, it’s super easy!
How to prepare for a job interview at Harnham
✨Know Your Tech Inside Out
Make sure you brush up on your analytics and data engineering skills, especially SQL and Python. Be ready to discuss specific projects where you've implemented ELT pipelines and how you ensured data quality. This will show that you not only understand the theory but can apply it in real-world scenarios.
✨Showcase Your Leadership Skills
As a Senior Analytics Engineering Manager, you'll need to demonstrate strong leadership capabilities. Prepare examples of how you've led teams, resolved conflicts, or mentored junior staff. Highlighting your ability to partner with various teams will also be crucial, so think of instances where collaboration was key to your success.
✨Research the Company Culture
Get to know the company’s values and culture before the interview. This will help you tailor your responses to align with what they’re looking for. If they value innovation, for instance, be ready to share how you've driven innovative solutions in your previous roles.
✨Prepare Questions to Ask
Interviews are a two-way street, so prepare insightful questions to ask your interviewers. Inquire about their current analytics challenges or how they envision the analytics engineering function evolving. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
