Top Data Engineer Jobs in Portugal

The Data Engineer is responsible for developing data infrastructure, building data pipelines, managing data quality, and integrating analytics tools to support design and project operations.

As a Telematics Data Engineer, you'll develop and maintain scalable data pipelines on GCP, process vehicle telemetry, integrate geospatial data, and ensure data quality for analytics.

The Principal Data Engineer will lead data governance, architecture, and team development to unify data across systems while ensuring quality and compliance. Responsibilities include building data pipelines, establishing governance frameworks, and collaborating with cross-functional teams to drive data-driven insights and operational efficiencies.

The candidate will improve the data ETL pipeline, build analytical tools, manage operations, and expand into new markets and asset classes.

As a Software Engineer Lead, you will develop and maintain a data-centric Treasury Management network, leading technical design and collaborating with various stakeholders.

Design, architect, and deliver services for Ensemble's products while collaborating with cross-functional teams and mentoring junior engineers.

As a Senior Software Engineer on the Data team, you will build data ingestion tools, support internal teams, and enhance systems for accuracy and reliability.

The Senior Data Engineer will design and build data systems, mentor engineers, and collaborate with product teams to optimize data architecture and pipelines for scalability and reliability.

Seeking a Senior Data Engineer experienced in scalable data systems and AI for our new incubator teams. Responsibilities include creating ETL pipelines and exploring AI solutions for healthcare access.

Design, deploy, and manage data center networks for AI infrastructure. Troubleshoot issues, guide junior staff, and collaborate across teams.

The Production & Data Sustainment Engineer ensures the operation of production applications and databases, manages data pipelines, maintains data standards, and supports GIS systems. Responsibilities include troubleshooting, collaboration with teams, and mitigating security risks. Strong knowledge of databases and application sustainment is required.

As an Associate Electrical Engineer, you will develop electrical designs, coordinate with stakeholders, and ensure compliance with industry standards to optimize data center infrastructure.

As a Data Engineer, you will develop scalable and efficient data solutions within an Agile team, focusing on high-quality software delivery and technical excellence.

Design infrastructure for AI-native learning experiences, develop adaptive learning capabilities, and create analytics systems to empower educators and track learner progress.

Lead the modernization of legacy data platforms by driving automation, migrating data pipelines from Informatica to Databricks, and establishing governance frameworks.

The Data Engineer will manage, optimize, and expand data infrastructure for a clinical data registry, focusing on building automated data pipelines and supporting healthcare advancements through data insights.

The Data Engineer I is responsible for building reliable ELT/ETL pipelines, implementing data quality checks, and optimizing data models using dbt, while collaborating with stakeholders to ensure data reliability and consistency.

The role involves building data infrastructure, designing data models, evaluating technologies for data warehousing, and creating BI dashboards to inform product strategy. Candidates must have strong SQL and experience in data engineering with an autonomous working style.

Develop and maintain data infrastructure for AV safety by building data pipelines, conducting analyses, and assessing events to inform safety metrics and regulatory compliance.

The Data Engineer will develop and integrate data pipelines, ensure data integrity, and support continuous automation in an Agile/Scrum environment.

Lead design and delivery of enterprise AI knowledge bases, RAG pipelines, and AI-ready data platforms on Azure. Build ingestion, vector/graph models, backend APIs, and ML pipelines; mentor engineers and partner with investment teams to operationalize LLM-driven analytics and ensure governance, observability, and performance.

The Data Engineer will manage data architecture, develop integration patterns, implement Snowflake data pipelines, and ensure data quality and governance.

As an FP&A Data Engineer, you will manage data pipelines, develop financial models, and automate reporting to assist management and teams in making data-driven decisions.

Operate and support critical data pipelines and infrastructure, troubleshoot production data issues, perform root cause analysis, implement automation and monitoring, own incident management and on-call rotation, and create support documentation to ensure reliable, timely, and consumable data for stakeholders.

Lead and mentor a data engineering team to design and operate scalable ETL/ELT pipelines and Snowflake data warehouse solutions using Python, DBT, Matillion, and AI tools; establish standards, ensure data quality and governance, and collaborate with analytics, product, and BI stakeholders to deliver production-ready data platforms.