Data Engineer (DRWN)

Darwin Recruitment; Madrid; Remote; EUR 83,000 - 131,000; Full time

Job summary

Darwin Recruitment is seeking a Data Engineer (ETL Migration) for a 2-month freelance engagement. The role focuses on migrating on-premise ETL workloads to a cloud environment with proper orchestration, scheduling, and logging in a regulated FinTech setting.

You will leverage Airflow (dbt beneficial), write strong SQL, and maintain security-conscious logging and monitoring practices while ensuring audit-ready documentation.

Qualifications

• Proven experience migrating on-premise ETL jobs to a cloud platform.
• Workflow orchestration and scheduling with Airflow (dbt also beneficial).
• Strong SQL skills.
• Security-conscious approach, including solid logging and monitoring practices.
• Fluent Italian.
• Nice to have: background in compliance-driven or regulated environments, and experience producing documentation used as audit evidence.

Skills

ETL migration

SQL

Security & logging

Italian language

Tools

Airflow

dbt

Job description

Data Engineer (ETL Migration) (DRWN)

Job title – Data Engineer (ETL Migration)

Client Location – Remote, Europe

Remote work offering – 100%

Client Industry – FinTech

Contract Length – 2 months (with possible extension)

Contract type – Freelance

Project focus

Our FinTech client is moving its existing on-premise ETL workloads to the cloud. You will rebuild and migrate these jobs into a secure, well-documented cloud solution, with proper orchestration, scheduling and logging in place, in a regulated environment where documentation may be used as audit evidence.

Key skills and Experience required

• Proven experience migrating on-premise ETL jobs to a cloud platform
• Workflow orchestration and scheduling with Airflow (dbt also beneficial)
• Strong SQL skills
• Security-conscious approach, including solid logging and monitoring practices
• Fluent Italian
• Nice to have: background in compliance-driven or regulated environments, and experience producing documentation used as audit evidence