Top Data Engineer Jobs in Lisbon

The Senior Data Engineer will manage the data platform, support product development for developers, and engage with data systems using various technologies while collaborating in a remote environment.

As a Senior QA Automation Engineer, you will build QA frameworks, automate tests, and collaborate with teams to ensure quality and data integrity.

Join Zencore as a Senior Data Engineer, leveraging Google Cloud expertise and technology strategies to assist clients with data and application modernization.

As a Senior Data Engineer, you'll develop data pipelines, manage consumer data architecture, ensure data quality, and support analytics in a global context.

As a Senior Data Engineer, you'll develop and optimize data pipelines for a Consumer Data Lake, ensuring data accuracy and compliance with privacy regulations while collaborating with cross-functional teams.

As a Senior Data Engineer, you will design and maintain data pipelines, develop microservices in Python, and ensure data integrity in a scalable production environment.

The role involves building and maintaining end-to-end data pipelines on AWS, ensuring data reliability, collaborating with teams, and staying updated with data engineering advancements.

The Senior Data Engineer will design, build, and maintain data pipelines and infrastructure, ensuring data reliability and performance while collaborating with cross-functional teams to deliver data-driven solutions.

The Senior Data Engineer will design and implement scalable data solutions, develop ELT pipelines, optimize performance, and collaborate with teams to enhance data systems at Zendesk.

The Staff Data Engineer will design and build the core data platform, mentor team members, and lead technical initiatives while collaborating across teams for effective data utilization.

The Senior Data Engineer will design and build scalable data pipelines using AWS tools and open-source technologies, ensuring data integrity and support for analysis across departments.

Seeking a Senior Data Support Engineer with 5-6 years of experience in Data Engineering, specifically utilizing Snowflake, Python, SQL, and AWS for data manipulation, warehousing, and testing processes.

Seeking a skilled Data Engineer to design, develop, and deploy ML solutions with expertise in Python, Databricks, Snowflake, and AWS, focusing on supply chain management.

The Senior Data Engineer will lead data architecture discussions, build reliable data pipelines, mentor team members, and ensure data quality across initiatives.

The Senior Data Engineer will focus on ingesting and curating satellite imagery and geospatial data, building data pipelines, and mentoring junior engineers, while ensuring performance and scalability.

Design and implement scalable data pipelines and architectures for efficient data processing, while collaborating with cross-functional teams and mentoring junior engineers.

The Senior Software Engineer will develop large-scale data pipelines, build customer-facing products, and contribute to continuous improvement through innovative ideas and complex problem-solving.

The Senior Data Engineer will design and maintain data models, develop data pipelines, and ensure data quality to enhance user experience and provide business insights.

The role involves developing machine learning algorithms for financial applications, collaborating with experts, building data pipelines, and communicating insights. Requires deployment of end-to-end data science solutions, especially in pricing optimization and forecasting within Azure cloud infrastructure.

The role involves collaborating on machine learning algorithms for pricing optimization, building data pipelines, and communicating insights. Experience with financial data science is essential.

As a Sr Data Engineer, you will improve data warehouse performance, collaborate on data models, and design monitoring tools.

The Sr Data Engineer will enhance the DoiT Cloud Intelligence product, optimize big data warehouses, and collaborate with cross-functional teams to improve data models and systems.

The Sr Data Engineer will analyze and optimize big data warehouses, improve data models and pipelines, and design monitoring tools.

Design and maintain data infrastructure, build pipelines for data collection, ensure data quality, and collaborate with stakeholders on data requirements.