Top Data Engineer Jobs in Portugal

Design and build scalable data infrastructure, pipelines, and integrations using cloud and big-data tools. Develop data lakes/warehouses, ensure data quality, implement security best practices, and collaborate with clients to deliver actionable analytics using platforms like Databricks, AWS, Azure Data Factory, Airflow, and Hadoop.

Design, build, and maintain scalable data infrastructure, pipelines, lakes/warehouses, and ETL processes using cloud and big-data tools. Ensure data quality, security, and performance; collaborate with clients to translate requirements into analytics-ready data solutions and support data strategy and advanced analytics efforts.

Design and build data infrastructure, pipelines, integration, and transformation solutions using cloud platforms and tools (AWS, Azure Data Factory, Airflow, Hadoop, Databricks). Build and manage data lakes/warehouses, ensure data quality and security, collaborate with clients, apply data architecture and modeling, and support data strategy development.

Design, build, and maintain data infrastructure, pipelines, and integrations using cloud and big-data platforms. Implement data lakes/warehouses, ensure data quality and security, and collaborate with clients to deliver analytics-ready data and insights. Use tools like Databricks, Airflow, Hadoop, AWS, and Azure Data Factory.

Lead design and delivery of data architecture, pipelines, warehouses and lakes across cloud platforms. Manage and mentor teams, ensure data governance/security, implement ETL/ELT, IaC and DevOps practices, and translate stakeholder requirements into scalable data solutions to support analytics and decision-making.

Lead and manage data engineering teams to design and implement data architecture, ETL/ELT pipelines, data warehouses/lakes, and security/compliance practices. Collaborate with stakeholders to translate requirements, mentor staff, improve data quality, and optimize cloud-based solutions across AWS, Azure, and GCP.

Design, build, and maintain data infrastructure, pipelines, and integrations using cloud and big-data platforms (AWS, Azure Data Factory, Databricks, Airflow, Hadoop). Build and manage data lakes/warehouses, ensure data quality and security, apply data architecture and dimensional modeling, collaborate with clients, and support data strategy and analytics.

Lead design and delivery of scalable data architecture, data models, ETL/ELT pipelines, and data warehouses/lakes. Ensure data governance, security, and quality; mentor and manage teams; collaborate with stakeholders to translate requirements into cloud-based technical solutions and optimize performance and cost.

Design and build scalable data infrastructure, pipelines, and integrations using cloud and big-data platforms. Develop and manage data lakes/warehouses, ensure data quality and security, and collaborate with clients to deliver analytics solutions and support data strategy.

Design, build, and maintain data infrastructure, pipelines, and ETL/ELT solutions using cloud and big-data tools. Develop data lakes/warehouses, ensure data quality, implement security best practices, collaborate with clients, and support analytics using Databricks, Airflow, and Hadoop.

Lead design and implementation of data architecture, data models, ETL/ELT pipelines, and cloud-based data warehouses/lakes. Coach and manage team members, ensure data governance/security compliance, collaborate with stakeholders, and improve data platform reliability, performance, and cost efficiency.

Design, build, and maintain data infrastructure, pipelines, and integration solutions using cloud platforms. Develop data lakes/warehouses, apply dimensional modeling and DAG-based workflows, ensure data quality and security, and collaborate with clients to deliver analytics and data strategy using tools like Databricks, Airflow, Hadoop, AWS, and Azure Data Factory.

Lead design and implementation of data architecture, build and maintain ETL/ELT pipelines, manage data warehouses and lakes, ensure governance and security, mentor team members, and translate business requirements into scalable cloud data solutions.

Lead design and implementation of data architecture, models, ETL/ELT pipelines, data warehouses/lakes, and security practices. Manage teams, mentor staff, translate business requirements into technical solutions, ensure data governance and pipeline reliability, and drive cloud-based, scalable data solutions.

Lead design and implementation of cloud data architectures, ETL/ELT pipelines, data warehouses/lakes, and data security. Manage and mentor a data engineering team, collaborate with stakeholders to translate requirements, ensure data governance compliance, and optimize cloud infrastructure for performance and cost.

Design, build, and maintain scalable data infrastructure, pipelines, lakes/warehouses, and transformations using cloud and big-data tools. Ensure data quality, security, and performance while collaborating with clients to deliver actionable insights and support data strategy.

Design, build, and maintain data infrastructure, pipelines, and ETL solutions using cloud and big-data tools. Develop data lakes/warehouses, ensure data quality and security, collaborate with clients, and apply data architecture, modeling, and workflow orchestration for scalable analytics.

Design and build data infrastructure, pipelines, and integration solutions using cloud and big-data tools. Develop and manage data lakes and warehouses, apply data architecture and dimensional modeling, validate data quality, implement security best practices, and collaborate with clients to deliver analytics and data strategies. Mentor peers and manage growing client responsibilities as a Senior Associate.

Design and build data infrastructure, pipelines, integration, and transformation solutions. Use AWS, Azure Data Factory, Airflow, Hadoop, and Databricks to create and manage data lakes/warehouses. Ensure data quality, security, and performance through testing and tuning. Apply dimensional modeling and DAGs, collaborate with clients to gather requirements, and support data strategy to drive insights and business growth.

Design and build data infrastructure, pipelines, and integrations to enable analytics. Use AWS, Azure Data Factory, Airflow, Hadoop, and Databricks to build data lakes/warehouses, ensure data quality and security, and collaborate with clients to deliver actionable insights and scalable data solutions.

Design and build data infrastructure, pipelines, integrations, and transformations using cloud and big-data platforms. Build and manage data lakes and warehouses, ensure data quality and security, and leverage tools like Databricks, Airflow, and Hadoop to deliver analytics solutions and advise clients on data strategy.

Design and build scalable data infrastructure, pipelines, and integrations using cloud platforms and big-data tools. Develop data lakes/warehouses, ensure data quality and security, apply data modeling and DAGs, collaborate with clients to deliver actionable insights and support data strategy.

Design, build, and maintain data infrastructure, pipelines, lakes/warehouses using cloud and big-data tools. Ensure data quality, security, and scalability while collaborating with clients to deliver actionable insights and support data strategy.

Design and build data infrastructure, pipelines, and integration solutions using cloud and big-data tools. Develop data lakes/warehouses, ensure data quality and security, and use Databricks, Airflow, and Hadoop for scalable processing. Collaborate with clients to translate requirements into actionable insights and support data strategy and performance tuning.

Lead design and delivery of scalable data architectures, ETL/ELT pipelines, data warehouses/lakes and data security. Manage and mentor a data engineering team, partner with stakeholders to translate requirements, ensure governance compliance, troubleshoot pipelines, and drive cloud-based data platform improvements.