Top Data Engineer Jobs in Portugal

As a Senior Data Engineer, you'll design data architecture, manage data pipelines, develop secure production code, and collaborate with cross-functional teams to innovate healthcare technology solutions.

Design and maintain infrastructure for large-scale multimodal training and evaluation. Collaborate with researchers to build reliable distributed data systems.

This role involves leading data strategy and managing a team to build and maintain multimodal datasets, ensuring data quality and pipeline efficiency.

Design and build data models and pipelines to produce research-ready multi-modal surgical datasets. Drive data collection and quality frameworks, manage annotation workflows, partner with AI/ML researchers, build researcher tooling, and collaborate across clinical, robotics, and systems teams to support embodied AI research.

The Engineer applies engineering principles to support business objectives, conducts feasibility studies, manages project tasks, and collaborates within teams to deliver effective engineering solutions.

The role involves bridging machine learning and systems engineering to enhance autonomy performance by optimizing data quality and developing frameworks for synthetic data in autonomous systems.

The role involves leading the development of Data Science and AI curriculum, mentoring junior developers, and ensuring high-quality content aligned with educational objectives.

Design, develop and maintain management reports, dashboards and automated reporting processes. Build visualizations with Tableau/Qlik and Angular extensions. Create ETL pipelines and multidimensional reporting data marts using PySpark and SSIS. Design solution architecture (C4), collaborate across product, QA, UX, and C-level data/tech teams, engage stakeholders, and lead or coach team members to deliver timely, accurate data insights for decision making.

Own and build CrewAI's end-to-end data foundation: consolidate telemetry and application data, design pipelines and warehouses, define trusted metrics and semantic models, improve instrumentation and data quality, enable self-serve analytics, and support product and GTM decisions with reliable dashboards and analyses.

The role involves integrating software components for lunar vehicles, generating software interface documents, and supporting data configuration and integration efforts. Responsibilities include developing software tools, prototypes, and simulations to facilitate integration processes and ensure data requirements are met.

As a Market Data Sr. Java Developer, you'll build market data capabilities and services, interact with various teams, and maintain code quality while managing the software delivery lifecycle.

Lead design and implementation of scalable data architectures in Azure/Databricks/Fabric, enhance governance (Unity Catalog), improve data quality frameworks, build resilient ingestion/transformation pipelines, modernize CI/CD and source control, support production and analytics/AI use cases, and collaborate with stakeholders to move proofs-of-concept to enterprise solutions.

Own and evolve ClickHouse's Python connector and SDKs; build and maintain integrations with orchestration and transformation tools; design AI/LLM integration patterns (RAG, embeddings, feature stores); engage with open-source community; collaborate with Product and Cloud teams to prioritize and ship production-grade data integrations.

Operate and ensure reliability of ELT/data and integration pipelines (Airflow, Azure Integration Services). Monitor SLAs, respond to incidents, perform root cause analysis, manage Snowflake RBAC, support deployments (dbt, GitHub Actions), optimize performance, and collaborate across engineering, security, and analytics teams to maintain secure, on-time data delivery.

The Senior Staff Physical AI Data Algorithm Engineer is responsible for designing and optimizing a vehicle-cloud data closed-loop architecture, managing data toolchains, and ensuring high-quality data standards throughout the model development cycle.

The Senior Data Engineer will design cloud-based data storage solutions, develop ETL/ELT pipelines, and support AI operations while managing data access layers and governance best practices.

Lead technical design and hands-on development of Pantheon’s data platform, extending ingestion, curation, retention services and ML/LLM infrastructure. Mentor engineers, drive architecture and engineering standards, operate in a DevOps model, partner cross-functionally, and participate in on-call support to ensure reliable, compliant data access and analytics.

Design, build, and optimize end-to-end data pipelines and ETL/ELT processes, enforce data governance and lineage, create enterprise datasets and data models, mentor team members, and implement CI/CD for data deployments to support analytics and advanced analytics use cases.

Analyze contact center and customer data to identify trends and KPIs, build AI-powered automation and optimization solutions, create dashboards and internal tools, process call transcripts and feedback to drive agent coaching and quality improvements, and partner with stakeholders to implement scalable AI/analytics solutions and executive updates.

Build and scale the company's data infrastructure: design ingestion paths, event models, schema-flexible data models, change capture, query performance, freshness guarantees, and analytics serving for customer-facing dashboards and evaluation pipelines.

Design, develop, configure, and support Customer MDM and Informatica Product 360 solutions, including data models, workflows, integrations, data quality, governance, and production support across enterprise systems. Collaborate with stakeholders throughout the SDLC to implement MDM/PIM processes, troubleshoot incidents, and maintain documentation and release activities.

Design and build data models, automated pipelines, and dashboards to support Lunar program planning and technical performance. Partner with stakeholders to gather requirements, create visualizations and metrics for leadership, lead cross-functional data modeling efforts, and establish data quality and documentation standards to scale analytics across programs.

Design and maintain scalable data pipelines, ensuring accuracy and reliability. Collaborate with engineers to optimize data systems and enforce best practices.

As a Data Engineer, you will build and optimize data pipelines, ensuring accurate data delivery that informs pricing and market analytics at Alt.

Design and maintain pipelines and tooling to ingest, validate, model, and serve multi-modal driving data for ML training, evaluation, and debugging. Collaborate with ML, vehicle software, curation, and fleet teams to scale the data stack and make datasets discoverable and queryable.