Cloud Data Engineer

TransferGo is a growing fintech scale-up on a mission to champion financial freedom with care. We strive to provide tailored, more affordable financial services that make people's hard-earned money go further. Now in our 14th year, with close to 400 employees in offices across Europe and the UK, we’re crafting a brilliant, relevant product that makes a difference in people's lives and the well-being of their families.

We’ve come this far by building a talented, diverse workforce on a fair culture and our strong values. Having this strong team of employees, we can serve those who really need our product to make their lives better.

Your team & impact

Join us on our journey as a Senior Cloud Data Engineer to play a pivotal role in shaping how money is sent worldwide. The Data team owns TransferGo's data platform end to end — ingestion, transformation, orchestration, the Redshift warehouse, and the standards and tooling (including AI-ready data) that let business domains build trusted, self-service data products.

A greenfield data function built from the ground up in a ~300-person fintech going AI-native. Modern AWS stack, dbt Core + Airflow, real ownership of infrastructure you provision yourself, and direct influence on platform standards

Here’s what you’ll be doing as Senior Cloud Data Engineer:

Build and operate production data pipelines end to end — ingestion, transformation, orchestration, monitoring.

Develop and maintain dbt models with tests, documentation

Author, schedule and debug Airflow DAGs.

Provision and own AWS infrastructure as code (CDK / CloudFormation / Terraform).

Support the AI-ready data agent and MCP/Redshift access work.

Own data quality, observability and CI/CD (GitHub Actions) for owned pipelines.

Take a requirement from a stakeholder and be the person who fixes it when it breaks.

You’ll report to our Head of Data.

Here’s what we’d love from our new Senior Cloud Data Engineer:

We don’t expect you to meet every single requirement listed. What matters most is your motivation, mindset, and ability to learn. If you’re excited about this role and think you could be a great fit, we’d really like to hear from you.

3+ years building and operating production data pipelines.

dbt in production: models, tests, documentation, multiple environments.

Strong Python for production data engineering.

Advanced SQL and analytical data modelling.

Hands-on AWS: Redshift, S3, Lambda, IAM, Glue, Kinesis, ECS, ECR.

Production experience with an OLAP/MPP warehouse (Redshift preferred).

Infrastructure as code — AWS CDK, CloudFormation or Terraform; provisions and owns own infrastructure.

Airflow: authoring, scheduling and debugging DAGs end to end.

CI/CD with GitHub Actions.

End-to-end ownership: from clarifying the requirement with stakeholders, through design, build, deployment and monitoring, to being the person who fixes it when it breaks.

High autonomy — decomposes ambiguous problems into deliverables without waiting for a detailed spec.

Fluent English

Tech Stack: dbt, Python, SQL, AWS (Redshift, S3, Lambda, IAM, Glue, Kinesis, ECS, ECR), IaC (CDK/CloudFormation/Terraform), Airflow, GitHub Actions.

And if you can also do this stuff, even better:

streaming/CDC tooling data quality/observability tooling, data contracts.

Financial services — payments, remittances, banking or another regulated environment.

PII handling, access control and audit/lineage requirements.

AWS cost optimisation.

What we believe

At TransferGo, we offer competitive rewards to all people. We know that recognition is about more than just money, and we’ve fostered a culture of kudos to shine a light on the great work throughout the business, and the people making it all happen. We hold regular in-person events to connect with each other and help all our TransferNauts to grow with a generous training allowance. We believe that empowering people makes for a happier and more effective workforce. This means we enable anyone who wants to pursue initiatives that deliver real value for our migrant customers.