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- Tasks: Design and optimise data models to drive smarter decision-making.
- Company: Global organisation on an exciting data and analytics journey.
- Benefits: £70k salary, car allowance, 20% bonus, and flexible working.
- Why this job: Be part of a greenfield project with significant growth potential.
- Qualifications: Strong SQL, dbt, Databricks experience, and collaborative skills.
- Other info: Join a diverse team that values culture and inclusion.
The predicted salary is between 42000 - 84000 £ per year.
A global organisation with multi-million-pound revenues is entering an exciting phase of its data and analytics journey. After implementing Databricks and dbt, the business is now focused on building strong analytics engineering capability to drive growth, efficiency and smarter commercial decision-making across the sales function.
This is a true greenfield opportunity where you’ll design, build and optimise the data models and transformations that will form the foundation of the organisation’s analytics estate. You’ll work closely with a wonderful, people-focused leader who cares deeply about culture, collaboration and creating an environment where people can do their best work.
There is significant scope in this position. As the data function continues to evolve and investment increases, the role will naturally expand and grow into a wider team.
You’ll thrive here if you enjoy autonomy, ownership and building things properly from scratch. Strong SQL, dbt, Databricks and modern ELT experience will be key, along with the ability to partner effectively with commercial and technical stakeholders. A proactive, tenacious approach and the ability to contribute both technically and culturally will be essential.
The team meets in London once per month, making this a flexible opportunity for candidates across the Midlands or South.
The role offers a £70,000 salary, car allowance and a 20% bonus, reflecting the impact this position will have on shaping the future of analytics within the organisation.
We believe diverse teams build better products and insights. We welcome applications from individuals of all backgrounds and experiences and are committed to fostering an inclusive workplace where everyone can thrive.
Analytics Engineer employer: Mirai Talent
Contact Detail:
Mirai Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL, dbt, and Databricks. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to analytics engineering. Think about how you can highlight your proactive approach and ability to work with both technical and commercial teams.
✨Tip Number 4
Don’t forget to apply through our website! We’re all about finding the right fit, and applying directly can help us see your enthusiasm for the role. Plus, it’s a great way to get noticed!
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Analytics Engineer role. Highlight your SQL, dbt, and Databricks expertise, and don’t forget to showcase any greenfield projects you've worked on!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for analytics and how you can contribute to our culture of collaboration. Mention specific examples of how you've built data models or transformed processes in the past.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. We love candidates who are proactive and tenacious, so share stories that demonstrate your ability to think critically and work independently.
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 shows you’re keen to join our team!
How to prepare for a job interview at Mirai Talent
✨Know Your Tech Inside Out
Make sure you brush up on your SQL, dbt, and Databricks skills before the interview. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've designed and optimised data models in the past. Think of examples that highlight your ability to build things from scratch and how your contributions led to smarter decision-making.
✨Emphasise Collaboration
Since this role involves working closely with both commercial and technical stakeholders, be ready to share experiences where you've successfully partnered with others. Highlight your communication skills and how you foster a collaborative environment.
✨Cultural Fit Matters
Research the company culture and values. Be prepared to discuss how your personal values align with theirs, especially around diversity and inclusion. Show that you're not just a technical fit but also someone who will thrive in their people-focused environment.
