Senior Data Engineer

act digital EMEA - Alter Solutions; Portugal; Remote; EUR 70,000 - 100,000; Full time

Benefits offered by this job

Remote work

Job summary

act digital EMEA - Alter Solutions is seeking a Senior Data Engineer for a 100% remote project focused on building scalable data solutions. You will design and maintain ETL/ELT pipelines, and work with Snowflake, SQL and Python to deliver robust data platforms.

The role requires strong experience with Snowflake and AWS, proficiency in SQL and Python, and familiarity with Airflow/ADF/Dagster for orchestration, plus Terraform for infrastructure automation.

Qualifications

• 5+ years of professional experience in Data Engineering.
• Snowflake is mandatory.
• AWS is mandatory.
• Strong SQL and Python skills.
• Experience with ETL/ELT processes and CI/CD.
• Experience with dbt and orchestration tools (Airflow, ADF or Dagster).
• Terraform for infrastructure automation.
• Data modelling methodologies: Kimball, Inmon, Data Vault.

Responsibilities

• Design, develop and maintain scalable ETL/ELT data pipelines.
• Build and optimise data solutions using Snowflake, SQL and Python.
• Implement and manage data orchestration workflows using Airflow, ADF or Dagster.
• Work with AWS cloud services to support data engineering solutions.
• 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 scalable data solutions.

Job description

We are looking for an experienced Senior Data Engineer to join a challenging project focused on building, maintaining and optimising scalable data solutions, working in a 100% remote environment.

Main Responsibilities:

• Design, develop and maintain scalable ETL/ELT data pipelines.
• Build and optimise data solutions using Snowflake, SQL and Python.
• 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.
• 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.

Technical Requirements:

• 5+ years of professional experience in Data Engineering.
• Strong hands-on experience with Snowflake (mandatory).
• Solid experience with AWS (mandatory).
• Strong proficiency in SQL and Python.
• Extensive experience with ETL/ELT processes and CI/CD.
• Experience with dbt and orchestration tools such as Airflow, ADF or Dagster.
• Experience with Terraform for infrastructure automation.
• Strong understanding of data modelling methodologies, including Kimball, Inmon and Data Vault.