Top Data Engineer Jobs in Portugal

Design, execute, and support end-to-end data migrations into SAP S/4HANA: extraction, transformation, validation, reconciliation, and cutover. Partner with functional teams, business owners, and infrastructure to ensure accurate, compliant migrations and provide troubleshooting and documentation.

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.

Build and maintain production-grade dbt data models and end-to-end data pipelines. Collaborate with Finance, Engineering, Sales, and Product to deliver reliable reporting, analytics, and scalable solutions, reducing manual workflows and ensuring data accuracy.

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.

The Senior Data Engineer will design and maintain scalable cloud-native data pipelines, develop APIs, implement advanced analytics, manage AI workflows, and enhance data operations collaboratively.

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.

Design and develop scalable data architectures and production data pipelines for Finance using cloud and lakehouse technologies. Build ingestion, transformation, data models, and data quality controls with Databricks, dbt, SQL, and Python. Mentor engineers, support migration of legacy ETL, enable audit/SOX-ready processes, and partner with architects and Finance stakeholders to deliver trusted analytics and reporting.

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.

The Senior Data Engineer will design, build, and optimize data pipelines and models, lead a team, and work with stakeholders to deliver data-driven solutions for a Federal client.

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.

Provide production support for SQL Server databases, ETL/data integration, Azure cloud services, and enterprise reporting. Monitor performance, troubleshoot issues across Windows and Linux servers, support file transfers and enterprise applications, and collaborate with technical teams to ensure data availability and reliability.

Own and evolve Redfin's analytics data warehouse and data lake. Design dimensional data models, build and tune ETL pipelines, write performant SQL, implement data ingestion and storage solutions, deliver end-to-end features, and collaborate with Analytics and Engineering to support production data needs.

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, implement, and maintain large-scale data pipelines and storage. Build ETL processes, integrate data sources, optimize big-data workflows using Hadoop/Spark/Kafka, manage data lakes/warehouses, implement and operate Elasticsearch clusters, and collaborate with data scientists to support analytics and continuous improvement.

Design, build, and maintain scalable, high-performance data pipelines, ingestion, transformation, and data export solutions. Implement data quality, testing, and monitoring, collaborate with product and stakeholders to build analytical data models, support production jobs, perform PoCs, and contribute to roadmap, standards, and documentation.

Develop, maintain, and troubleshoot ETL solutions and system interfaces to move and transform data across health system applications and a data warehouse. Design integration architecture, code and test interfaces, document solutions, and propose improvements. Support existing data transfers and stay current with ETL and API technologies.

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.

The Senior Data Engineer designs, develops, and maintains ETL pipelines and database systems while ensuring data security and compliance with HIPAA. Responsibilities include SQL development, data integration, reporting, and collaborating with teams to support data needs.

Design and implement SAP S/4HANA integrations: map legacy data to S/4 structures, build/validate OData/REST APIs and integrations via SAP BTP/Integration Suite and Datasphere, support Okta provisioning/SCIM, troubleshoot end-to-end workflows, produce documentation, and support testing, cutover, and post-go-live stabilization for public-sector modernization.

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.

Design, build, test, and maintain ETL/ELT data integration pipelines and data architecture. Perform data mapping, profiling, quality remediation, and support BI/analytics by partnering with business and technical teams. Provide full lifecycle support, documentation, and continuous improvement in a hybrid agile environment.