Data Engineer

Job Description

Who we are:

TrueLayer is Europe’s fastest-growing Pay by Bank network. We power smarter, safer and faster payments by combining real-time bank payments with financial and identity data. E-commerce, iGaming and Financial Services businesses use our products to onboard new users, accept money and make payouts in seconds, and at scale. Live across 22 countries and with 1 new user joining TrueLayer’s Pay by Bank network every 3 seconds, we’re in a very exciting growth stage. This is why we’re expanding the team across our offices in London, Milan, and Dublin.

Listed in Sifted as one of the 100 fastest growing start-ups in UK & Ireland, and CNBC’s World Top Fintech Companies, we’re trusted by industry leaders like RyanAir and Just Eat Takeaway for continued innovation within our payment products. To date, we’ve raised over $300 million from world-renowned investors including Stripe, Tiger Global, Northzone, and Tencent. But this is just the beginning.

We’re looking for people who are excited about joining the Pay by Bank revolution and helping us change the way the world pays. Could this be you?

Description

At TrueLayer, we want the financial system to work for everyone — so we've made it our mission to open up access and put fintech at people's fingertips.

We are looking for a mid-level Data Engineer with a strong DataOps and platform mindset to help design, build, and operate scalable, reliable, and secure data infrastructure on AWS.
This role sits within the Infrastructure / Platform group. The focus is on data platforms, orchestration, compute, and reliability, while data modeling, SQL transformations, and business logic are owned by Analytics teams.

The ideal candidate is comfortable operating production systems, collaborating closely with DevOps and Analytics, and enabling data teams through robust, well-designed infrastructure

What we expect from you, as a Data Engineer

• Technical Knowledge
  • Experience with AWS, particularly:
    - S3
    - EMR
    - ECS
    - Step Functions or equivalent orchestration tools
    - Amazon Redshift
  • Familiarity with Terraform and Infrastructure as Code
  • Python as the main programming language for data platform development and automation
  • Hands-on experience operating production-grade data pipelines
  • Good understanding of distributed systems and cloud networking fundamentals
• Engineering Practices
  • Experience with Git-based workflows (Git)
  • Experience with CI/CD pipelines and automated deployments
• Compliance & Security Awareness
  • General awareness of security and compliance best practices in cloud environments
  • Familiarity with IAM, secrets management, and encryption concepts
  • Awareness of regulatory and data protection requirements (e. g. GDPR, industry standards), as applicable
• Data Platform & Infrastructure
  • Design, build, and maintain scalable data platforms on AWS
  • Operate and optimize distributed data processing systems (e. g. EMR / Spark)
  • Manage containerized data workloads using ECS
  • Support and evolve the data warehouse (Amazon Redshift) from an infrastructure, performance, and reliability perspective
• Orchestration & Automation
  • Build and maintain data orchestration workflows using AWS Step Functions or similar orchestrators
  • Ensure pipelines are observable, resilient, idempotent, and easy to operate
  • Translate analytics requirements into reliable platform-level implementations
  • Apply engineering principles (KISS, YAGNI, DRY, etc.) when designing data infrastructure or workflows
    Infrastructure as Code, CI/CD & Reliability
  • Provision and manage cloud resources using Terraform
  • Use Git as the primary version control system
  • Design and maintain CI/CD pipelines for data infrastructure and platform components
  • Apply DevOps and SRE best practices to data systems (monitoring, alerting, automated testing)
  • Take responsibility for production incidents, troubleshooting, and post-mortems
  • Continuously improve reliability, performance, and cost efficiency of data workloads
• Collaboration & Enablement
  • Work closely with Analytics teams, who own SQL, dbt models, and transformations
  • Collaborate with DevOps and Cloud Infrastructure teams on shared platform standards
  • Enable self-service analytics through reusable infrastructure components, templates, and tooling
  • Ability to translate analytics needs into scalable, maintainable platform solutions
  • Contribute to internal documentation, best practices, and architectural guidelines

We'd be particularly excited if you have

• Familiarity with DBT from an infrastructure and deployment perspective
• Experience with cost optimization strategies for data platforms
• Experience with EKS
• Experience with GCP

Benefits

What you can expect from us

• Competitive salary and meaningful equity in the company 💰
• Flexible hours and hybrid working - we offer a hybrid approach to work of 3 days per week remote working 🏡 and 2 days per week in our new offices in London 🇬🇧 Milan 🇮🇹 and Dublin 🇮🇪
• Need to collect the kids from childcare? Love a workout in the gym first thing? No worries, we trust you to do your best work within our hybrid framework 🧘
• A one-off contribution of €200 to help you set up your home office 💺
• Flexible holiday policy, with 24 days as standard ✈️
• 2 volunteering days to support causes important to you 🌳
• Generous parental leave, above and beyond statutory requirements and with no minimum tenure 👨‍👩‍👧
• Meal vouchers for every day you’re working, including while remote
• Budget to spend on learning & development each year 📚
• 12 fully-paid wellbeing days a year and your birthday off (on top of the holiday allowance) 🕊
• Membership of mental wellbeing platform Spill 🧘🏻‍♀️

About our hiring process

Our hiring process typically consists of four stages:

1. A call with one of our Talent Acquisition Partners.
2. A take-home exercise Software Engineering Challenge.
3. 2-hour video interview with two TrueLayer engineers.
4. 1-hour total final round video interviews

Full details on the interview process, including preparation tips and the qualities we look for in future TrueLayeristas, can be found on our blog

At TrueLayer, we don’t just do inclusion and diversity. We embrace people that have different opinions, perspectives and personalities. Because we believe that by seeing the world from all sorts of angles, we can make life better for all the people who live in it. We strongly encourage applications from underrepresented groups (e.g. people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from all socio-economic backgrounds). If you’d like to discuss alternative working patterns, please let us know.

We will always aim to make appropriate adjustments to ensure we are fully inclusive to people with different needs during our interview process. So if you need us to make any adjustments to suit your individual needs please let us know - we’ll be happy to support you.