Top Data Engineer Jobs in Portugal

Join MetLife's Data & Analytics team as an intern, focusing on AI, predictive modeling, and data analysis to deliver insights and solutions that drive business value.

The Data Engineer will develop and implement ETL processes, design data architectures, work with data platforms, and ensure data solutions meet scalability and security needs. Responsibilities include mentoring junior engineers and collaborating with stakeholders to gather requirements and optimize data transformations.

The Cost Engineer - Data Analytics will lead cost optimization initiatives, utilizing data engineering and predictive modeling to enhance program performance and profitability.

The Data Platform Engineer II role involves automating data infrastructure, scaling analytics platforms, and ensuring system reliability and security. Key responsibilities include managing CI/CD pipelines, configuring secure networking, and collaborating with Data & Analytics teams to optimize performance.

The Senior Data Engineer will architect and implement data pipelines, manage their performance, and partner with stakeholders to ensure data accessibility and quality. Responsibilities include assessing data sourcing needs and providing visibility into pipeline status.

Responsible for architecting the sales data ecosystem, ensuring data integrity, governance, and providing real-time insights for forecasting and revenue decision-making.

Lead Data Engineer responsible for designing, developing, and supporting technical solutions in a fast-paced environment while collaborating with Agile teams and utilizing emerging technologies.

As a Lead Data Engineer, you will develop cloud-based data solutions, collaborate with teams, and stay updated on technology trends to drive data transformation.

Design, build, and operate large-scale distributed data systems and infrastructure to support engineering teams. Write high-quality code, provision infrastructure, maintain production systems, and collaborate cross-functionally to enable data processing, storage, and governance at scale.

The Data Engineer will design and build data solutions, develop ELT jobs, ensure data quality, and collaborate with technical teams to align data strategies with business goals.

As a Lead Data Engineer, you will collaborate in Agile teams to design and implement financial data solutions, utilizing extensive programming and cloud technologies.

As a Senior Product Manager, you will define metrics for developer productivity, own measurement frameworks for AI tools, and drive insights from developer experience data to enhance software delivery.

As a Senior Associate in Audit and Assurance, you'll evaluate AI solutions, manage AI/ML controls, and enhance transparency in reporting. Responsibilities include data analysis for governance strategies, guiding compliance practices, and contributing to innovative thought leadership in AI governance.

Lead the design and implementation of enterprise AI/ML solutions, oversee project performance, mentor leaders, and ensure compliance with Responsible AI.

The role involves designing and implementing AI/ML solutions, leading teams, mentoring staff, and managing project delivery while ensuring client satisfaction.

As a Site Reliability Engineer, you will optimize data services, improve system resilience, automate processes, and collaborate with cross-functional teams to enhance reliability and performance.

As a Senior Machine Learning Engineer in the Health team, you'll design and productionize ML systems for personalized health metrics, collaborating with data scientists and engineers to optimize performance and ensure service reliability.

As a Staff Software Engineer, you'll design and operate scalable backend services, collaborate across teams, and ensure high system availability.

The Senior Data Engineer will transform real-world data into analytics-ready datasets, build scalable pipelines, and conduct analyses to support scientific and business decisions, collaborating closely with data science teams.

Lead cross-functional Agile teams to design, build, test, and support cloud-based data solutions. Develop full-stack data engineering systems using Java/Scala/Python, RDBMS and NoSQL, Redshift/Snowflake, and distributed tools (Hadoop, Spark, Kafka). Mentor engineers, perform code reviews and unit testing, and collaborate with product managers to deliver scalable, performant data products.

The Senior Lead Data Engineer designs and develops technical solutions, leads a team of developers, and utilizes big data and cloud technologies to deliver robust solutions for Capital One.

As a Lead Data Engineer, you'll design and implement full-stack technical solutions, collaborate across Agile teams, and leverage big data and cloud technologies to deliver personalized customer experiences.

As a Senior Lead Data Engineer, you will design, develop, and support data solutions, optimize systems, and collaborate within Agile teams to leverage technology for business transformations.

Lead a team of engineers to design and implement data solutions using cloud technologies, optimizing data pipelines and collaborating with Agile teams to deliver impactful data-driven products.

The Lead Data Engineer will design, develop, and support technical solutions, utilizing big data technologies and cloud platforms, while collaborating with Agile teams.