Senior Cloud Data Engineer
Quick Summary
Build and operate production data pipelines end to end — ingestion, transformation, orchestration, monitoring. Develop and maintain dbt models with tests, documentation Author,
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,
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
Responsibilities
~1 min read- →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.
About the Role
~1 min read- 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.
- 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 Offer
~1 min readPlease note that all data collected will be handled in accordance with our candidates privacy policy (https://www.transfergo.com/privacy-policy/overview) and will only be used for the purpose of evaluating your candidacy. The data will be securely stored and deleted according to retention timeframe set in the candidates privacy policy. If you have any questions or concerns regarding this, please feel free to reach out by replying or via dpo@transfergo.com
Location & Eligibility
Listing Details
- Posted
- August 18, 2026
- First seen
- August 18, 2026
- Last seen
- August 18, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 60%
- Scored at
- August 18, 2026
Signal breakdown
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