At a Glance
- Tasks: Evolve and scale a cloud-based analytics platform in the fintech space.
- Company: Established payments technology business with a modern, engineering-led culture.
- Benefits: £60,000 salary, remote work, and opportunities for professional growth.
- Other info: Autonomous environment with a focus on innovation and collaboration.
- Why this job: Join a dynamic team using AI to shape the future of payments analytics.
- Qualifications: Strong SQL skills and experience with data warehouses required.
The predicted salary is between 60000 - 60000 £ per year.
Pulse are currently partnering with an established payments technology business looking to hire an Analytics Engineer to help evolve and scale a modern cloud-based analytics platform.
Operating within the payments and fintech space, the business processes large volumes of transaction data across card payments, pay-by-bank, payouts, recurring payments, and merchant services. This is a genuinely interesting role sitting between analytics engineering, commercial insight, and modern AI-enabled ways of working.
You’ll work closely with Product, Commercial, Finance, and Engineering teams to help shape how the business understands:
- Merchant and transaction performance
- Product adoption and conversion
- Revenue, margin, and commercial metrics
- Customer and payment behaviour
- Pipeline-to-activation performance
- Operational and financial reporting
The environment is modern, engineering-led, and highly autonomous. The team already uses AI heavily across analytics and engineering workflows and is actively exploring how AI tooling can improve modelling, documentation, investigation, and delivery practices.
Tech environment includes:
- SQL
- BigQuery
- DBT
- Semantic Layer / dimensional modelling
- Looker Studio
- HubSpot and commercial data integrations
- AI tooling embedded into engineering and analytics workflows
What they’re looking for:
- Strong SQL capability
- Experience working with data warehouses and analytics workflows
- Someone commercially minded who can work directly with stakeholders across the business
- A self-starter comfortable operating with high autonomy and ownership
- Interest in modern analytics engineering and AI-assisted ways of working
- Someone capable of critically evaluating AI outputs rather than relying on them blindly
This could suit:
- An Analytics Engineer looking for broader ownership
- A strong Analyst wanting to move deeper into engineering and modelling
- Someone already operating in a hybrid analytics / engineering environment
£60,000 base salary. Remote-first with occasional meetups in the East Midlands / London.
Data Engineer employer: Pulse Recruit
Join a forward-thinking FinTech payments company that champions innovation and autonomy, offering a dynamic work culture where your contributions directly impact the evolution of a cutting-edge analytics platform. With a strong focus on employee growth, you will have the opportunity to collaborate with diverse teams and leverage modern AI tools, all while enjoying the flexibility of remote work with occasional meetups in the vibrant East Midlands. This role not only promises a competitive salary but also a chance to be at the forefront of analytics engineering in a rapidly evolving industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech and analytics space on LinkedIn. Join relevant groups, attend virtual meetups, and don’t be shy about sliding into DMs. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL projects or any analytics work you've done. This is your chance to demonstrate your capabilities beyond just a CV. Share it during interviews or even in your LinkedIn profile!
✨Tip Number 3
Prepare for those interviews! Research the company’s tech stack and think about how your experience aligns with their needs. Be ready to discuss how you can contribute to their AI-driven analytics workflows and improve their data processes.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, applying directly shows your enthusiasm and commitment to joining our team!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Show Off Your SQL Skills:Make sure to highlight your SQL capabilities in your application. We want to see how you can manipulate and analyse data, so don’t hold back on showcasing your experience with data warehouses and analytics workflows!
Tailor Your Application:Take a moment to customise your application for this role. Mention your experience in the fintech space and how it aligns with our needs. We love seeing candidates who understand the industry and can bring valuable insights to the table.
Demonstrate Your Autonomy:We’re looking for self-starters who thrive in an autonomous environment. Share examples of projects where you took ownership and drove results. This will show us that you’re ready to take charge in our modern, engineering-led team.
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 what we do at StudySmarter!
How to prepare for a job interview at Pulse Recruit
✨Know Your SQL Inside Out
Since the role heavily relies on SQL, make sure you brush up on your skills. Be prepared to discuss your experience with SQL queries and data manipulation. Practising common SQL problems can help you articulate your thought process during the interview.
✨Understand the FinTech Landscape
Familiarise yourself with the payments technology sector and current trends in FinTech. Being able to discuss how analytics impacts merchant performance and customer behaviour will show that you’re not just technically skilled but also commercially minded.
✨Showcase Your Autonomy
This role requires a self-starter attitude, so be ready to share examples of projects where you took ownership. Discuss how you’ve worked independently in the past and how you approached problem-solving without much guidance.
✨Engage with AI Tools
Since the company is exploring AI in their workflows, demonstrate your interest and understanding of AI-assisted analytics. Talk about any experience you have with AI tools and how you critically evaluate their outputs to ensure quality results.
