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- Tasks: Lead data modeling and dbt capabilities while mentoring team members.
- Company: Join a top UK fintech unicorn known for its excellent workplace culture.
- Benefits: Enjoy a hybrid work model and competitive salary between £70,000 - £80,000.
- Why this job: Be part of a high-growth company expanding internationally with a focus on data excellence.
- Qualifications: Experience in Analytics Engineering, dbt, SQL, and ideally Snowflake required.
- Other info: Initial call, technical test, and final interview process to apply.
The predicted salary is between 60000 - 84000 £ per year.
Senior Analytics Engineer (Central Team) Central London – Hybrid (3 days a week) £70,000 – £80,000 Who are they? Join a top UK fintech unicorn as we expand their Analytics Engineering capabilities! Known as one of the best workplaces in Financial Services, this high-growth company is actively expanding into international markets. What will you do? Own data modelling and DBT capabilities cross-functionally, as they look to expand internationally. You’ll be the go-to dbt expert in the team and upskill other people in the team. Responsibilities: Take ownership of the dbt setup, implementing best practices, optimizing queries, and ensuring the creation of robust, scalable models. Collaborate with cross-functional teams to align on data modelling requirements and ensure consistency across the organisation. Mentor and upskill team members, promoting the value of dbt and fostering a culture of data excellence within the company. Provide expert guidance to improve data workflows, driving efficiency and scalability across all data processes. What do you need? A background in Analytics Engineering, specifically data modelling. Tenure and experience in smaller-scale, high-growth environments are highly valued. Proven ability to manage complex models with significant data transformations Skilled in dbt, SQL, and ideally Snowflake. Exposure to programming (Python is a plus). What’s the process? Initial introductory call. Technical test (DBT, SQL, Snowflake). Follow-up review call to discuss the test. Final in-person interview. How to apply? Submit your CV via the Apply link on this website or send it to carlotashepherd@harnham.com
Senior Analytics Engineer employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer
✨Tip Number 1
Familiarize yourself with dbt and its best practices. Since you'll be the go-to expert in the team, having a deep understanding of dbt will not only help you during the technical test but also demonstrate your commitment to the role.
✨Tip Number 2
Brush up on your SQL skills, especially focusing on complex queries and data transformations. Given the emphasis on managing complex models, showcasing your SQL proficiency will be crucial during the interview process.
✨Tip Number 3
Prepare to discuss your experience in high-growth environments. Be ready to share specific examples of how you've contributed to data modeling and analytics in previous roles, as this will resonate well with the company's focus.
✨Tip Number 4
Think about how you can mentor others in the team. Since part of your role will involve upskilling team members, come prepared with ideas on how you would promote a culture of data excellence and share your knowledge effectively.
We think you need these skills to ace Senior Analytics Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Senior Analytics Engineer. Familiarize yourself with dbt, SQL, and data modelling concepts to tailor your application accordingly.
Highlight Relevant Experience: In your CV and cover letter, emphasize your background in Analytics Engineering, particularly any experience with data modelling and working in high-growth environments. Mention specific projects where you've implemented dbt or optimized data workflows.
Showcase Your Skills: Clearly outline your technical skills, especially your proficiency in dbt, SQL, and any exposure to Snowflake or Python. Providing examples of how you've used these skills in previous roles can strengthen your application.
Prepare for the Process: Be ready for the interview process, which includes a technical test. Brush up on your dbt and SQL knowledge, and think about how you would mentor others in these areas, as this is a key part of the role.
How to prepare for a job interview at Harnham
✨Showcase Your DBT Expertise
Since the role emphasizes being the go-to dbt expert, be prepared to discuss your experience with dbt in detail. Highlight specific projects where you implemented best practices and optimized queries.
✨Demonstrate Data Modelling Skills
Prepare to talk about your background in data modelling. Bring examples of complex models you've managed and how you approached significant data transformations in previous roles.
✨Emphasize Collaboration Experience
This position requires collaboration with cross-functional teams. Share instances where you successfully aligned on data modelling requirements and ensured consistency across different departments.
✨Mentorship and Upskilling
As mentoring is a key responsibility, think of examples where you've upskilled team members or promoted a culture of data excellence. Be ready to discuss your approach to fostering growth within a team.
