About this role
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.
Responsibilities
- *This role is fully remote**
- Technical Knowledge
- EMR and Spark
- Redshift and S3
- Step Functions or equivalent Orchestration Tools
- ECS or EKS
- Python as the main programming language
- Terraform / Infrastructure as Code
- Git and CI/CD pipelines
- Engineering Practices
- Apply engineering principles (KISS, YAGNI, DRY, etc.) when designing data infrastructure or workflow
- 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 and performance of data workloads
- Collaboration & Enablement
- Ability to translate analytics needs into scalable and maintainable platform solutions
Requirements
- Enable self-service analytics through reusable infrastructure components, templates, and tooling
- Work closely with Analytics teams and collaborate with DevOps and Cloud Infrastructure teams on shared platform standards
- Familiarity with DBT from an infrastructure and deployment perspective
- Experience with cost optimization strategies for data platforms
- Experience with GCP
- Competitive salary and meaningful equity in the company 💰
- 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 TrueLayer
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 *This role is fully remote** 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 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 EMR and Spark Redshift and S3 Step Functions or equivalent Orchestration Tools ECS or EKS Python as the main programming language Terraform / Infrastructure as Code Git and CI/CD pipelines Engineering Practices Apply engineering principles (KISS, YAGNI, DRY, etc.) when designing data infrastructure or workflow 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 and performance of data workloads Collaboration & Enablement Ability to translate analytics needs into scalable and maintainable platform solutions Enable self-service analytics through reusable infrastructure components, templates, and tooling Work closely with Analytics teams and collaborate with DevOps and Cloud Infrastructure teams on shared platform standards 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 GCP