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- Tasks: Lead a team to build scalable data models and improve data clarity.
- Company: Join a top recruitment agency in the analytics field with a focus on innovation.
- Benefits: Competitive salary, flexible work location, and opportunities for professional growth.
- Why this job: Shape modern data solutions and make impactful decisions in a dynamic environment.
- Qualifications: Strong data modelling skills and experience with SQL, Python or PySpark.
- Other info: Leadership experience is a plus; great career advancement opportunities await!
The predicted salary is between 43200 - 72000 £ per year.
An opportunity to lead a small Analytics Engineering team and shape modern data models in Databricks that support confident decision making. You will guide how data is organised and delivered, helping the business access clear, trusted information at pace.
Responsibilities:
- Build scalable data models in Databricks
- Lead and support Analytics Engineers
- Partner with Data Engineering and Governance teams
- Improve clarity, quality and structure of data
- Translate business needs into clear technical plans
Experience required:
- Strong skills in data modelling
- SQL with either Python or PySpark
- Databricks or similar cloud data platform
- Experience communicating with both technical and non-technical users
- Leadership or mentoring experience
- Insurance or regulated sector experience helpful
You must already have the right to work in the United Kingdom as sponsorship is not available.
Apply today to learn more.
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.
Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data.
Lead Analytics Engineer employer: Datatech
Contact Detail:
Datatech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and projects. This is your chance to demonstrate your expertise in Databricks and SQL, making it easier for potential employers to see what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and non-technical communication. Practice explaining complex concepts in simple terms, as you'll need to engage with various stakeholders in your role.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, if you know someone else who fits the bill, refer them to us and earn some rewards!
We think you need these skills to ace Lead Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your data modelling expertise and any leadership roles you've had, so we can see how you fit into our team.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about analytics engineering. Share specific examples of how you've built scalable data models or led teams, and connect it back to what we do at StudySmarter.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in SQL, Python, or PySpark. If you've worked with Databricks or similar platforms, let us know! We want to see how your technical skills align with our needs.
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 makes the process smoother for everyone!
How to prepare for a job interview at Datatech
✨Know Your Data Models
As a Lead Analytics Engineer, you’ll be expected to build scalable data models in Databricks. Brush up on your data modelling skills and be ready to discuss specific examples of how you've designed and implemented data models in the past.
✨Showcase Your Leadership Skills
You’ll be leading a small team, so it’s crucial to demonstrate your leadership or mentoring experience. Prepare anecdotes that highlight how you've successfully guided teams or supported colleagues in their professional development.
✨Communicate Clearly
You’ll need to partner with both technical and non-technical users. Practice explaining complex concepts in simple terms, as this will show your ability to bridge the gap between different stakeholders.
✨Familiarise Yourself with Databricks
Since Databricks is a key part of the role, make sure you’re comfortable discussing its features and benefits. If you have experience with similar cloud data platforms, be prepared to draw parallels and explain how that experience translates to Databricks.
