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- Tasks: Transform raw data into production-ready tables for analytics and AI.
- Company: Join a fast-paced healthcare scale-up in London.
- Benefits: Competitive salary, collaborative environment, and impactful work.
- Other info: Collaborate with cross-functional teams and own data governance frameworks.
- Why this job: Make a significant impact while working with cutting-edge data technologies.
- Qualifications: 3+ years of experience in SQL and familiarity with BigQuery and Looker.
The predicted salary is between 60000 - 80000 £ per year.
MANUAL is looking for a Senior Analytics Engineer to join their Data team in London. This role focuses on modeling raw data into production-ready tables that support analytics and AI applications. You will work collaboratively with cross-functional teams and own the data governance frameworks that drive the data function.
Ideal candidates will have:
- Over 3 years of experience
- Expertise in SQL
- Familiarity with tools such as BigQuery and Looker
The position presents an exciting opportunity to make a significant impact in a fast-paced healthcare scale-up.
Senior Analytics Engineer - AI-Ready Data Modeling & Scale in London employer: Manual
Contact Detail:
Manual Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer - AI-Ready Data Modeling & Scale in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at MANUAL or similar companies. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your data modelling projects. This will help you stand out and demonstrate your expertise in SQL and tools like BigQuery and Looker.
✨Tip Number 3
Ace the interview by being ready to discuss real-world scenarios. Think about how you've tackled data governance challenges or collaborated with cross-functional teams in the past. We want to see your problem-solving skills in action!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Analytics Engineer - AI-Ready Data Modeling & Scale in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL and any relevant tools like BigQuery and Looker. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Senior Analytics Engineer role and how your background makes you a perfect fit for our data team. Let your personality come through!
Showcase Collaboration Skills: Since this role involves working with cross-functional teams, highlight any past experiences where you’ve successfully collaborated with others. We love seeing how you can contribute to a team environment!
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Manual
✨Know Your SQL Inside Out
Since the role requires expertise in SQL, make sure you brush up on your skills. Be prepared to answer technical questions or even solve problems on the spot. Practising common SQL queries and understanding how to optimise them will definitely give you an edge.
✨Familiarise Yourself with BigQuery and Looker
Get hands-on experience with BigQuery and Looker if you haven't already. Understand their functionalities and be ready to discuss how you've used these tools in past projects. Showing that you can leverage these platforms effectively will demonstrate your readiness for the role.
✨Understand Data Governance Frameworks
Since you'll own data governance frameworks, it's crucial to understand what that entails. Be prepared to discuss your experience with data quality, compliance, and security. Highlight any frameworks you've implemented or improved in previous roles to showcase your capability.
✨Show Your Collaborative Spirit
This position involves working with cross-functional teams, so be ready to share examples of how you've successfully collaborated in the past. Discuss specific projects where teamwork was key, and emphasise your communication skills and ability to adapt to different team dynamics.