At a Glance
- Tasks: Build and optimise data pipelines for price optimisation software in a fast-scaling startup.
- Company: Join Clariti AI, a profitable B2B SaaS company revolutionising retail banking pricing.
- Benefits: Competitive salary, profit share, equity options, flexible hours, and generous holiday allowance.
- Other info: Exciting growth opportunities and a chance to wear many hats in a dynamic environment.
- Why this job: Make a real impact in a growing company while developing your skills in data engineering.
- Qualifications: Degree in STEM, 2+ years as a data engineer, and proficiency in Python and Azure.
The predicted salary is between 63000 - 77000 £ per year.
Location: London/Hybrid – Office two+ days per week
We’re hiring data engineers who want to take ownership in a fast-scaling startup.
About Clariti AI: Clariti AI is a B2B SaaS company providing price optimisation software to retail banks. We help banks make pricing decisions on products like mortgages and savings. Our pricing software guides clients to price recommendations that are worth millions of Pounds or Euros in additional revenue. This is an exciting time to join the company, with a growing set of clients in the UK and Ireland. After recent successes, Clariti AI has built a very promising pipeline of new clients, with revenues expected to increase significantly in the next year. The company is bootstrapped (no VC or angel investment) and is already very profitable.
This data engineer role will play a key role in helping us improve the production quality of our software as we scale. Our software offering has a significant financial impact for our clients and needs to be outstanding for our clients to get value. As an early joiner, the Data Engineer role is key, and provides multiple opportunities for the right person to grow significantly. There are many things to focus on depending on experience and interests. The role is all about pro-active "building and improving", whether that is scaling our infrastructure as we take on more clients and larger clients, streamlining and automating data refresh processes, improving our data security, building and deploying machine learning models, or getting involved with client pitches.
What you'll be working on:
- Building, optimising, and deploying price optimization machine learning ETL/ELT pipelines and data processes.
- Improving and adapting our data infrastructure and code base as we scale – including collaboration, security, scalability, efficiency, automation and auditability.
- Interacting with new clients on client pitches, and working with existing clients to onboard our software, offering engineering and pricing expertise.
Essentials:
- Strong academic background with a minimum bachelor’s or master’s degree in a STEM subject (Computer Science, Mathematics or Engineering).
- At least 2 years’ experience working as a data engineer (ideally consulting / financial services) – salary and level will reflect experience.
- Proficiency in Python (pandas, numpy).
- Professional experience with Azure cloud services (AWS / GCP acceptable with deeper experience).
- Strong experience deploying clean, maintainable, production-level code.
- Basic understanding of DAG (Directed Acyclic Graphs) and their role in pipeline orchestration.
It would be nice if you could bring (desirables):
- Professional experience with PySpark, MySQL, Docker, Kubernetes.
- Experience with best-practice pipeline orchestration software (Airflow, Dagster).
- Experience migrating code from prototype notebooks to .py, while maintaining logic and transparency of underlying code.
- Owned a project across a whole software product lifecycle, from data infrastructure, to model development and deployment, to front-end integration.
- Experience of pricing analytics and/or optimization ideally in retail banking.
- Experience in producing PowerPoint presentations / reports and presenting to clients or colleagues.
- Willingness to get involved in all parts of the business – we are a small company so we all wear many hats.
- An entrepreneurial spirit and drive to work in an early-stage start-up that directly rewards impact.
Tech stack:
- Platform: We build everything in Azure (but sometimes need to work in other cloud providers like AWS depending on client’s needs).
- Backend – We develop all our code in Python.
- Front-end – MySQL and jQuery/React.
What we offer:
- A highly competitive salary.
- A genuinely compelling profit share scheme, with the potential to own a significant stake in the business.
- Equity options that deliver significant gains if the company is acquired.
- Flexible working hours “Work anywhere” for up to two months a year.
- A significant opportunity to grow quickly with regular performance-based promotions and pay increases.
- 25 days per year holiday allowance, increasing by one day per year after two years’ service to 30 days.
Other:
- We cannot sponsor visas, so only applicants with the permanent right to work in the UK will be considered.
- Successful applicants should be willing to work in London up to two days a week and should be willing to travel to clients occasionally.
Data Engineer in London employer: Step 2 Recruitment LTD Careers
Clariti AI is an exceptional employer for data engineers, offering a dynamic work environment in London with a hybrid model that promotes flexibility and work-life balance. As a fast-scaling startup, employees have the unique opportunity to take ownership of impactful projects, enjoy competitive salaries, and benefit from a compelling profit share scheme, all while contributing to innovative solutions in the financial sector. With a strong focus on employee growth and regular performance-based promotions, Clariti AI fosters a culture of collaboration and entrepreneurial spirit, making it an ideal place for those seeking meaningful and rewarding careers.
Contact Details:
Step 2 Recruitment LTD Careers Recruitment Team
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