Top Data Engineer Jobs in Portugal

As a Senior Controls Engineer, you will design, deploy, test, and maintain control systems, ensuring quality through collaboration with clients and team members.

Build and operate an AWS-native data lake and AI gateway. Implement and maintain lakehouse architecture (Iceberg) using Glue, Athena, and S3; manage infrastructure as code (Terraform); run reliable data pipelines; operate LLM gateway/Bedrock; enforce security, IAM, networking, and secrets controls; partner with IT and Security.

Design, develop, and maintain scalable ETL/ELT pipelines and Snowflake data models; optimize performance; ensure data quality and integrations with CRM/ERP/billing systems; collaborate with stakeholders and evolve a Snowflake/dbt cloud-native data platform.

Build and maintain high-throughput C++ recording systems and Python data services for vehicle sensor and telemetry data. Work on data transfer, ingestion, validation, format/versioning, indexing, compression, and efficient access for replay, analytics, and ML while operating under vehicle resource constraints and contributing to quality management.

Design, develop, and optimize large-scale distributed data systems for real-time and batch processing. Support feature engineering and feature store evolution, build identity graph capabilities, improve observability and performance, and mentor engineers while collaborating with Product, ML, and Data Science teams.

Build and manage automated ETL integrations from customer EMRs, billing, and warehouses into Caris systems. Lead data discovery, validation, and architectural design for clinical informatics and BI. Gather technical requirements, implement access via FHIR/HL7/APIs or direct DB, assemble large clinical datasets, and deliver dashboard-ready data for business users.

Design and lead data lake architecture and Databricks platform solutions for DoW projects. Develop and optimize ETL/Delta Lake pipelines, integrate AI/ML workflows, implement DevSecOps/CI-CD, ensure cloud security and compliance across AWS/Azure/GCP, and liaise between clients and developers to deliver solutions.

Design, build, and maintain scalable, secure cloud data pipelines and integrations. Develop APIs and modular components, apply generative AI to pipelines, enforce data governance and compliance for PHI/PII/PCI, mentor engineers, collaborate with analysts and data scientists, and ensure production reliability using containerized deployments and DevSecOps/Agile practices.

As a Staff Software Engineer on the Data Platform team, you'll architect and develop cloud-native SaaS services, lead distributed systems design, and mentor engineering teams to drive innovative data solutions.

Design, build, and operate a Snowflake-centered cloud data platform: ingest with Fivetran, transform with dbt, orchestrate with Airflow/Astronomer, ensure observability and data quality, deliver CI/CD workflows, troubleshoot pipelines, guide Cortex Code adoption, and mentor junior engineers while partnering with cross-functional teams.

Lead design and implementation of scalable batch and streaming data pipelines and platforms. Define data architecture standards, drive engineering best practices, mentor peers, and collaborate with product, analytics, and data science to deliver reliable, high-performance data solutions.

Operate and automate the companys data infrastructure as an SRE: build IaC and self-service tooling for provisioning, scaling, failover, and recovery; optimize relational and non-relational datastores; define SLOs and observability; integrate pipelines and messaging systems; participate in on-call and incident response; reduce operational toil.

Deliver ServiceNow reporting and analytics: define KPI standards, build dashboards/scorecards, maintain reporting datasets and integrations, automate data quality checks, provide operational insights, support release and operations reporting, and partner with global platform and product stakeholders for data-driven decisions.

Design, build, and operate scalable, production-grade ingestion pipelines (Fivetran, APIs, files) to bring Workday and other HR/payroll data into the data platform. Ensure data reliability, monitoring, schema management, and handoffs to downstream transformation teams while optimizing connectors, syncs, and costs.

The Cyber Data Science Engineer analyzes large cybersecurity data sets, provides analytics, develops data-driven solutions, and supports compliance reporting while collaborating with team members.

Design, build, and deliver Power BI dashboards and analytics solutions using AWS, SQL, and Python. Develop data models, ETL pipelines, and analytics logic; incorporate AI/ML where appropriate. Partner with stakeholders, IT, and vendors to gather requirements, test solutions, and translate insights into business decisions to improve customer experience for a utility program.

Design, build, and maintain data collection, storage, and full‑stack applications for manufacturing and test data. Implement CI/CD, APIs, databases, and deployment architecture; support internal users and test teams; mentor junior developers and follow software best practices.

As a Software Engineer, you will build core data systems, collaborate on new features, and improve team productivity within a hybrid working environment.

Design, build, and optimize scalable batch and streaming data pipelines. Model and process structured and unstructured data, ensure production reliability and observability, apply ML techniques for insight extraction, and drive data strategy while adopting modern tooling and IaC practices.

Design, build, and maintain data pipelines and analytics-ready datasets using SQL and cloud data platforms. Perform data profiling, validation, and source-to-target mapping. Support BI enablement, document transformations, and collaborate with stakeholders while following data governance and security practices.

Lead design, configuration, and delivery of advanced automation and control projects for microgrids, data centers, and critical infrastructure. Provide control system architecture, manage project scope/schedules/budgets, oversee testing/commissioning, collaborate with global teams, and drive process improvements and innovation.

The Sr. Data Engineer will design, implement, and optimize data solutions in Snowflake, collaborate with clients, and mentor junior engineers.

Design, build, and maintain scalable data pipelines and a customer-facing recommendation engine (including LLM logic). Manage data warehouse, data quality monitoring, CI/CD for pipelines, and partner with product, analytics, engineering, and marketing to ensure consistent metrics and observability.

Build and own data platform infrastructure and scalable pipelines (ingestion, orchestration, transformation, delivery). Define governance, observability, and AI-first architecture. Optimize performance, ensure data quality, mentor engineers, and integrate AI-assisted tooling.

Lead design, build, optimization, and operation of scalable Databricks-based batch and streaming data pipelines for healthcare programs. Ensure DataOps, data quality, lineage, observability, CI/CD, and compliance with CMS and federal healthcare regulations. Collaborate with architects, data scientists, and stakeholders, troubleshoot production issues, and mentor junior engineers.