Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build data pipelines, conduct analysis, and create insightful dashboards.
- Company: Dynamic data-driven company in Greater London with a collaborative culture.
- Benefits: Flexible hours, hybrid work model, and competitive vacation days.
- Why this job: Join a team where your data skills can shine and make a real impact.
- Qualifications: Strong SQL skills and experience in building data pipelines.
- Other info: Exciting opportunities for growth in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
A dynamic data-driven company in Greater London is seeking a data professional to strengthen its Data team. The role demands strong SQL skills, experience in building data pipelines, and a collaborative spirit to partner with various stakeholders.
Responsibilities include:
- Conducting data analysis
- Creating dashboards
- Maintaining data pipelines
This position offers benefits like flexible hours, a hybrid work model, and competitive vacation days.
Analytics Engineer: Build Data Pipelines & Insights employer: MVF
Contact Detail:
MVF Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer: Build Data Pipelines & Insights
✨Tip Number 1
Network like a pro! Reach out to folks in the data field on LinkedIn or at local meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL projects and data pipelines. This gives potential employers a taste of what you can do beyond the written application.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and scenarios. Practising with a friend can help you articulate your thought process clearly.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team, and it makes tracking your application easier for us.
We think you need these skills to ace Analytics Engineer: Build Data Pipelines & Insights
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your SQL expertise in your application. We want to see how you've used SQL to build data pipelines and conduct analysis, so don’t hold back on those details!
Collaborate Like a Pro: Since this role involves working with various stakeholders, share examples of how you've successfully collaborated in the past. We love seeing teamwork in action, so let us know how you’ve partnered with others to achieve great results.
Dashboards Are Your Friend: If you've created dashboards before, be sure to mention them! We’re interested in how you visualise data insights, so include any tools or techniques you’ve used to make your dashboards stand out.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at MVF
✨Master Your SQL Skills
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with SQL in detail, and maybe even tackle a few practical problems or queries during the interview. This will show that you’re not just familiar with SQL but can also apply it effectively.
✨Showcase Your Data Pipeline Experience
Be ready to talk about specific projects where you've built data pipelines. Highlight the tools and technologies you used, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving abilities, which are crucial for the role.
✨Collaborate Like a Pro
Since the role requires a collaborative spirit, think of examples where you’ve worked with different stakeholders. Discuss how you communicated complex data insights to non-technical team members and how you ensured everyone was on the same page. This will illustrate your teamwork skills and adaptability.
✨Prepare Questions About the Company
Research the company and prepare thoughtful questions to ask during the interview. Inquire about their data strategy, the tools they use, or how they measure success in their data initiatives. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
