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AWS Data Engineers

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Onsite

AWS Data Engineers

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AWS Data Engineers

Skills

SQL QueriesTableauPythonData VisualizationpandasSnowflakeGitLabAWSGitHubApache AirflowTerraform

21 days ago

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Important information


Contract type:

Permanent

Location:

Lisbon, Portugal

Work mode:

Onsite

Published on:

29 September 2026

What they need


We are looking for a Senior Data Engineer to join a product-focused Scrum team, helping design, develop, and optimize cloud-native data solutions. You will play a key role in building scalable data pipelines, managing complex datasets, and delivering reliable data products that support business-critical decisions.

Working closely with Data Analysts, Product Owners, and cross-functional teams, you will contribute throughout the entire data lifecycle, from architecture and development to monitoring, support, and continuous improvement.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines and data solutions on AWS.
  • Integrate and transform data from multiple sources into reliable, business-ready datasets.
  • Build and optimize data models, SQL queries, and database objects for performance and scalability.
  • Ensure data quality, governance, monitoring, and operational reliability.
  • Collaborate with cross-functional teams in an Agile/Scrum environment to deliver data products.
  • Contribute to production support, troubleshooting, and continuous improvement initiatives.
  • Promote engineering best practices, including CI/CD, automation, and Infrastructure as Code.

What We're Looking For

  • Degree in Computer Science, Engineering, or a related field.
  • Strong hands-on experience building data pipelines and data platforms on AWS.
  • Solid knowledge of AWS services including:S3
  • ECS
  • Lambda
  • RDS
  • SNS/SQS
  • IAM
  • CloudWatch
  • Advanced SQL skills and experience working with analytical databases.
  • Strong Python development skills, including libraries such as Pandas and Boto3.
  • Experience with data modelling and modern data architecture principles.
  • Good understanding of data governance and data quality processes.

Nice to Have

  • Experience with Snowflake.
  • Knowledge of DBT Core.
  • Experience with orchestration tools such as Airflow, Prefect, or AWS Step Functions.
  • Experience with GitHub or GitLab.
  • Knowledge of Infrastructure as Code using Terraform or CloudFormation.
  • Experience with Tableau or other data visualization tools.
  • AWS Certifications (Solution Architect or similar).
  • Snowflake Certifications (SnowPro Core or similar).

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