At a Glance
- Tasks: Lead data initiatives and shape analytics engineering standards using cutting-edge tech.
- Company: Join ClearScore, the UK's top credit score app with a global user base.
- Benefits: Enjoy flexible work, private health cover, and generous holiday allowances.
- Other info: Dynamic hybrid work environment with excellent career growth opportunities.
- Why this job: Make a real impact on millions of users while working with world-class engineers.
- Qualifications: Expertise in SQL, dbt, and data modelling; strong communication and mentoring skills.
The predicted salary is between 60000 - 80000 ÂŁ per year.
We are looking for a talented Senior Analytics Engineer to join our Data Mission, where you'll take technical ownership of how we model, transform, and activate data at scale. Using a cutting-edge tech stack including dbt, Databricks, and Kafka, you'll define the standards that the team works to and build the data products that power decisions for millions of users.
What you will be doing:
- Taking technical ownership of large data initiatives, leading delivery end-to-end across multiple components, stakeholders, and delivery phases.
- Setting and upholding best practice standards for analytics engineering across our entire data model, from data modelling conventions and dbt patterns to testing, documentation, and observability, and ensuring these standards are understood and applied consistently.
- Leading data model design discussions and shaping architectural direction, including designing new schemas from the ground up with best practices and end-user utility in mind.
- Shaping how we use SQL, dbt, Databricks, and AI at scale — advising on complex or high-risk transformations and contributing to tooling and architectural direction.
- Bringing a system-level perspective on lineage, workflows, and observability, ensuring the organisation can reason clearly about data flows, dependencies, and accountability.
- Coaching and mentoring engineers across the team, building capability through code reviews, design discussions, and knowledge sharing.
- Collaborating with Platform and Data Science teams to define requirements for new data products and troubleshoot upstream data issues.
Skills we'd love you to have:
- You are an expert in SQL and dbt, and you apply this to design and build robust, scalable data transformations on platforms like Databricks.
- You have strong experience with data modelling concepts and frameworks (e.g. Kimball) and have led architectural design discussions.
- You can set and communicate engineering standards — you're the person others come to for guidance on how things should be built.
- You have experience diagnosing and resolving complex production issues, and you design pipelines with testing, monitoring, and maintainability in mind.
- You have a system-level view of data: you think about lineage, dependencies, and how changes ripple through a platform.
- You bring others along with you — through mentoring, documentation, and clear technical communication with both engineers and non-technical stakeholders.
- You have experience with orchestration tooling (e.g. Databricks Workflows) and understand how data products are operationalised end-to-end.
- Familiarity with data activation tools (e.g. Hightouch) or streaming platforms (e.g. Kafka) is a bonus.
Why ClearScore?
ClearScore is the UK's #1 credit score and report app. We are also present in South Africa, Australia and Canada, with more than 20 million users globally and growing fast. We have established relationships with over 50 of the main lenders in the U.K., and have been a trusted tool for customers to manage their credit and make better financial decisions.
Our company culture is a fundamental part of all we have achieved. We believe in hiring smart, driven, passionate and diverse people who are keen on having a real impact in our organisation. We trust you to manage your own time so we offer flexible work and no fixed desk hours. We don’t micromanage and we believe in measuring outcomes rather than effort. We have an inclusive culture where all, regardless of seniority, are encouraged to contribute with their ideas, look after their wellbeing and actively seek opportunities for career growth.
Benefits:
- 25 paid holidays and a “duvet day” on your birthday.
- Hybrid Work Environment.
- Private health and dental cover - including mental health support through Bupa.
- Life assurance scheme.
- Up to 6% matched pension.
- Regular Lunch and Learns with guest speakers.
- Dog-friendly office.
- Daily breakfast and free snacks.
- Access to discounts via Cobens Extras.
- Free sports and social clubs.
- Continued investment into learning and development.
- Leadership-led training.
- In-house psychotherapist.
- Financial coach to help you plan and achieve your goals.
- No clock-watching culture.
- Generous maternity and paternity plans.
- Transparent pay structure and a career growth plan.
Equal Opportunities:
ClearScore is committed to providing equal employment opportunities to all qualified individuals. As an equal opportunity employer, we are able to make reasonable adjustments to accommodate individuals with disabilities during the recruitment and selection process.
Our Hybrid Model:
We embrace a dynamic hybrid work environment that balances flexibility with collaborative in-person experiences. Our approach is designed to foster innovation, team connection, and individual productivity.
Inclusion Policy:
We are always looking for talented individuals to join ClearScore. We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for our people.
Senior Analytics Engineer in London employer: ClearScore
Contact Detail:
ClearScore 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 current employees at ClearScore on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. It’s a great way to get insider info and show your genuine interest in the company.
✨Tip Number 2
Prepare for technical interviews by brushing up on SQL, dbt, and data modelling concepts. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and solve problems, so be ready to showcase your skills!
✨Tip Number 3
Don’t forget to ask questions during your interview! This shows that you’re engaged and interested in the role. Ask about team dynamics, ongoing projects, or how success is measured at ClearScore. It’s a two-way street, and we love candidates who are curious.
✨Tip Number 4
Apply through our website for the best chance of getting noticed! Tailor your application to highlight your experience with data transformations and analytics engineering. We’re looking for someone who can hit the ground running, so make sure your skills shine through.
We think you need these skills to ace Senior Analytics Engineer in London
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, make sure to highlight your expertise in SQL and dbt. We want to see how you've used these tools to create robust data transformations, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your application for us. Mention specific projects or experiences that align with our tech stack and the responsibilities of the Senior Analytics Engineer role. This shows you’ve done your homework and are genuinely interested!
Be Clear and Concise: We appreciate clarity! Make sure your application is easy to read and straight to the point. Use bullet points where necessary to break down your achievements and skills, making it easier for us to see what you bring to the table.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our culture and values.
How to prepare for a job interview at ClearScore
✨Know Your Tech Stack
Familiarise yourself with the tools mentioned in the job description, like SQL, dbt, Databricks, and Kafka. Be ready to discuss how you've used these technologies in past projects and how they can be applied to the role at ClearScore.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex production issues you've diagnosed and resolved. Highlight your approach to designing pipelines with testing and monitoring in mind, as this will demonstrate your ability to maintain high standards in analytics engineering.
✨Communicate Clearly
Practice explaining technical concepts in a way that non-technical stakeholders can understand. This is crucial for collaboration with teams like Platform and Data Science, so be prepared to showcase your communication skills during the interview.
✨Emphasise Mentorship Experience
Since the role involves coaching and mentoring other engineers, think of specific instances where you've guided others. Share how you’ve contributed to knowledge sharing and built capability within your team, as this aligns with ClearScore's collaborative culture.