Jta: The Data Scientists
Portugal
Data Engineer
- AI
- Devops
- Docker
- GIT
AI Summary
Design, develop and maintain scalable data engineering solutions using Snowflake, Python, and cloud infrastructure. Build ETL/ELT pipelines, dbt transformation workflows, orchestration jobs, and CI/CD automation in a fully remote team. Requires 5+ years Data Engineering experience plus strong hands-on skills in Snowflake and AWS.
Key Highlights
Senior Data Engineer role focused on scalable ETL/ELT pipelines and data solutions with Snowflake and AWS
Full remote position requiring 5+ years Data Engineering, Snowflake and AWS (both mandatory)
Key stack includes Snowflake, AWS, SQL, Python, dbt, Airflow/Azure Data Factory/Dagster, Terraform, CI/CD
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Key Responsibilities
Design, develop and maintain scalable ETL/ELT data pipelines
Build and optimise data solutions using Snowflake, SQL and Python
Develop data transformation workflows using dbt
Implement and manage data orchestration workflows using tools such as Airflow, Azure Data Factory or Dagster
Work with AWS cloud services to support data engineering solutions
Implement infrastructure automation using Terraform
Develop and maintain CI/CD pipelines to automate testing and deployment
Apply data modelling methodologies, including Kimball, Inmon and Data Vault
Ensure data quality, reliability and performance across data platforms
Collaborate with cross-functional teams to deliver efficient and scalable data solutions
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
Technical Skills Required
Job Description
Main Responsibilities:
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