Data Engineer

Salary: £29,000 - 69,000 per year

Requirements:

• Strong academic background with a minimum bachelors or masters degree in a STEM subject (Computer Science, Mathematics or Engineering)
• At least 2 years experience working as a data engineer, ideally in consulting or financial services
• Proficiency in Python (pandas, numpy)
• Professional experience with Azure cloud services; AWS or GCP acceptable with deeper experience
• Strong experience deploying clean, maintainable, production-level code
• Basic understanding of DAGs (Directed Acyclic Graphs) and their role in pipeline orchestration
• Professional experience with PySpark, MySQL, Docker, and Kubernetes is desirable
• Experience with best-practice pipeline orchestration software such as Airflow or Dagster is desirable
• Experience migrating code from prototype notebooks to .py while maintaining logic and transparency is desirable
• Experience owning a project across the whole software product lifecycle, from data infrastructure to model development and deployment to front-end integration, is desirable
• Experience in pricing analytics and/or optimisation, ideally in retail banking, is desirable
• Experience producing PowerPoint presentations or reports and presenting to clients or colleagues is desirable
• Willingness to get involved in all parts of the business is desirable
• An entrepreneurial spirit and drive to work in an early-stage start-up that directly rewards impact is desirable
• We cannot sponsor visas, so only applicants with the permanent right to work in the UK will be considered

Responsibilities:

• Build, optimise, and deploy price optimisation machine learning ETL/ELT pipelines and data processes
• Improve and adapt our data infrastructure and code base as we scale, including collaboration, security, scalability, efficiency, automation, and auditability
• Interact with new clients on client pitches and work with existing clients to onboard our software, offering engineering and pricing expertise
• Help us improve the production quality of our software as we scale
• Streamline and automate data refresh processes
• Improve our data security
• Build and deploy machine learning models
• Get involved with client pitches
• Work in London up to two days a week and travel to clients occasionally

Technologies:

• AI
• Airflow
• AWS
• Azure
• Cloud
• Docker
• ETL
• GCP
• Kubernetes
• Machine Learning
• MySQL
• Python
• PySpark
• Security
• numpy
• pandas
• Backend
• React
• jQuery

More:

We are Clariti AI, a B2B SaaS company providing price optimisation software to retail banks. We help banks make pricing decisions on products like mortgages and savings, guiding clients to recommendations that can generate millions of pounds or euros in additional revenue. We are a bootstrapped and already profitable company with a growing client base in the UK and Ireland and a strong pipeline of new clients, with revenues expected to increase significantly in the next year. This is an exciting time to join us as an early joiner in a fast-scaling startup, where you will have multiple opportunities to grow, work with a small team, and take ownership of meaningful projects. We offer a highly competitive salary, a compelling profit share scheme with potential to own a significant stake in the business, equity options, flexible working hours, work anywhere for up to two months a year, regular performance-based promotions and pay increases, and 25 days of annual leave increasing to 30 days after two years.

last updated 41 week of 2026