Data Engineer

ApTap; Greater London; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

ApTap in London is seeking a Data Engineer to join our growing data team. You’ll build and deploy ML models, implement AI capabilities across our product stack, and support partners with optimisation projects.

This role offers hybrid work and opportunities to own greenfield AI/ML initiatives, influencing fintech challenges with cutting-edge tools.

You should have 2+ years in data or ML engineering, strong Python/SQL, and experience with cloud platforms (AWS/GCP/Azure).

Qualifications

• 2+ years of experience in data engineering or ML engineering.
• Strong Python and SQL skills.
• Experience with cloud platforms (AWS, GCP or Azure).
• Experience deploying ML models and modern data stacks.
• Interest in applying AI tools across product areas.

Responsibilities

• Design, build, and maintain scalable data pipelines and infrastructure.
• Develop and deploy machine learning models into production.
• Collaborate with data science, product, partnerships, and client teams on optimisation.
• Research and integrate new AI/ML frameworks into the product.
• Ensure data quality, integrity, and performance at scale.

Skills

Python

SQL

Cloud platforms

ML deployment

Data modelling

Education

Bachelor's degree in data engineering or related field

Tools

AWS

GCP

Azure

Job description

ApTap is on a mission to connect banks and brands, to help people save money. We want to reinvent how people interact with their finances by making money management simpler, smarter, and more personal.

ApTap enables data-driven, end-to-end, fully embedded user experiences within banking apps – think bill switching, rewards, discounts, competitions, and much more. We’ve already saved British consumers hundreds of thousands of pounds, working with clients like Barclays, BNP Paribas, Lloyds, TSB Bank, and more.

From product design to marketing to data science, we’re integrating cutting‑edge AI tools and machine learning models across our stack to accelerate growth and deliver real value to users.

We’re a scale‑up with big ambitions. That means joining us is an opportunity to make a tangible impact from day one, with plenty of headroom for growth. We value entrepreneurial thinkers who aren’t afraid to challenge the status quo, move fast, and experiment.

Why Join

• Impact from day one: You’ll shape products and campaigns used by thousands of consumers and major partners.
• AI‑first culture: We embrace AI as a core tool across every function, from wireframing products to optimising marketing campaigns.
• Growth opportunities: Clear paths to leadership roles as we scale, plus support to develop new skills.
• Collaborative team: You’ll work closely with product, partnerships, tech, and data teams in a culture built on trust and curiosity.
• Mission‑driven work: Be part of reshaping financial services for the better.

Role: Data Engineer – ML & AI Applications

Location: London (Hybrid)

Salary: £40,000-£60,000 + benefits/equity (depending on experience)

About the Role

We’re looking for a Data Engineer to join our growing data team and support our Head of Data. You’ll work on building and deploying machine learning models, implementing AI capabilities across our product stack, and supporting product and partnerships teams with optimisation projects.

This is an opportunity to work across greenfield AI/ML projects, applying the latest tools to real‑world fintech and consumer banking challenges. You’ll run your own projects while contributing to the broader data and product strategy.

This is not a role for someone looking to learn the ropes from scratch, instead this is a role for people who are ready to build models and execute.

What You’ll Do

• Design, build, and maintain scalable data pipelines and infrastructure
• Develop and deploy machine learning models into production
• Collaborate with data science, product, partnerships, and client teams on optimisation projects
• Research, explore, and integrate new AI/ML frameworks into the product
• Ensure data quality, integrity, and performance at scaleContribute to a culture of experimentation and innovation

What We’re Looking For

• 2+ years’ experience or higher-degree in data engineering, ML engineering, or related fields
• Strong Python and SQL skills; familiarity with cloud platforms (AWS, GCP, or Azure)
• Experience deploying ML models and working with modern data stacks
• Appetite for applying AI tools across different product areas
• Bonus: experience in FinTech, InsurTech, MarTech, or adjacent industries