Senior Cloud Data Engineer — Hybrid, AI-native Data Platform

TransferGo; Warszawa; Hybrid; PLN 198,000 - 297,000; Full time

Benefits offered by this job

Competitive Salary PLN 17,730–26,620 (

Comprehensive Benefits

Annual Development Budget €1,000

Hybrid Working Environment

Pet‑Friendly Office

Inclusive Culture

Ownership

Job summary

TransferGo is seeking a Senior Cloud Data Engineer to shape how money moves globally. You’ll own production data pipelines end to end on a modern AWS stack (Redshift, S3, Lambda, IAM, Glue, Kinesis) using dbt and Airflow, with IaC via CDK/CloudFormation or Terraform.

Collaborating with the Head of Data, you’ll build reliable data models, ensure quality and observability, and own CI/CD with GitHub Actions. Fluency in English and 3+ years of experience are required.

Qualifications

• 3+ years building and operating production data pipelines.
• dbt in production: models, tests, documentation.
• 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.

Responsibilities

• 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.

Skills

Python development

SQL analytics

English communication

Data modeling

Problem solving

Tools

dbt

Airflow

AWS

Terraform/CDK/CloudFormation

GitHub Actions

Job description

TransferGo is seeking a Senior Cloud Data Engineer to shape how money moves globally. You’ll own production data pipelines end to end on a modern AWS stack (Redshift, S3, Lambda, IAM, Glue, Kinesis) using dbt and Airflow, with IaC via CDK/CloudFormation or Terraform.

Collaborating with the Head of Data, you’ll build reliable data models, ensure quality and observability, and own CI/CD with GitHub Actions. Fluency in English and 3+ years of experience are required.