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- Tasks: Lead a team to create scalable analytics models and improve data quality.
- Company: Join a top UK recruitment agency in the analytics field.
- Benefits: Competitive salary, flexible work location, and opportunities for mentorship.
- Why this job: Shape modern analytics and make impactful decisions with trusted data.
- Qualifications: Experience in data modelling, SQL, and leadership skills required.
- Other info: Work in a dynamic environment with potential for career growth.
The predicted salary is between 36000 - 60000 £ per year.
Location: Nottingham or London with one day per month in the office
Salary: Competitive
Lead a small Analytics Engineering team and take ownership of how trusted, decision ready data is modelled and delivered across the business. You will shape modern analytics models in Databricks that help teams move faster with confidence.
What you will do
- Own and build scalable analytics data models in Databricks
- Lead and support Analytics Engineers, setting technical direction
- Work closely with Data Engineering and Governance to improve data quality and trust
- Translate business priorities into clear, practical technical solutions
What we are looking for
- Strong analytics focused data modelling experience
- Advanced SQL with Python or PySpark
- Databricks or similar cloud data platform experience
- Confident working with both technical and non-technical stakeholders
- Leadership, mentoring, or team ownership experience
- Regulated sector experience is helpful but not essential
Right to work in the United Kingdom is required. Sponsorship is not available.
Apply to learn more or message for a confidential conversation.
If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.
Senior Analytics Engineer in London employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the analytics space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best analytics projects. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Research common questions for analytics roles and practice your answers. We want you to feel confident and ready to impress.
✨Tip Number 4
Apply through our website! It’s the easiest way to get noticed by us. Plus, we love seeing candidates who take the initiative to connect directly.
We think you need these skills to ace Senior Analytics Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Analytics Engineer role. Highlight your analytics modelling experience and any leadership roles you've had, as we want to see how you can lead our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about analytics and how your background makes you a perfect fit for us. Don’t forget to mention your experience with Databricks or similar platforms.
Showcase Your Technical Skills: We’re looking for strong SQL and Python skills, so make sure to include specific examples of projects where you’ve used these technologies. This will help us see your technical prowess right from the start!
Apply Through Our Website: To make sure your application gets to us quickly and efficiently, apply directly through our website. It’s the best way to ensure we see your application and can get back to you promptly!
How to prepare for a job interview at Datatech Analytics
✨Know Your Data Modelling Inside Out
As a Senior Analytics Engineer, you'll need to demonstrate your expertise in data modelling. Brush up on your experience with scalable analytics models in Databricks and be ready to discuss specific projects where you've made an impact. Prepare examples that showcase your ability to translate business needs into technical solutions.
✨Showcase Your Leadership Skills
Since the role involves leading a small team, it's crucial to highlight your leadership and mentoring experience. Think of instances where you've guided others or set technical direction. Be prepared to discuss how you foster collaboration between technical and non-technical stakeholders.
✨Master SQL and Python/PySpark
Advanced SQL skills are a must for this position, so make sure you're comfortable with complex queries and data manipulation. If you have experience with Python or PySpark, be ready to share how you've used these tools in past projects to enhance data quality and trust.
✨Understand the Business Context
It's not just about the technical skills; understanding the business priorities is key. Research the company and its industry to grasp their challenges and goals. This will help you articulate how your technical solutions can drive business success during the interview.
