Top Data Engineer Jobs in Portugal

The Data Engineer will develop data pipelines, support Agile teams, ensure data performance, and collaborate to implement complex requirements for federal customers.

The Data Engineer will develop data pipelines, support Agile team collaboration, ensure data extraction performance, and promote process automation.

The Data Engineer develops data pipelines, supports Agile teams, ensures data performance, advocates for lean practices, and collaborates across functions to deliver insights for federal customers.

The Data Engineer will develop data pipelines, ensure data reliability, and support process automation while collaborating within Agile teams.

The Data Engineer will develop data pipelines, support automation, and collaborate within an Agile team to manage complex data sets, ensuring performance and reliability in data processing.

Responsible for developing data pipelines, ensuring data extraction performance, and collaborating in an Agile team to provide data-driven solutions.

This role involves developing data pipelines, ensuring data performance, automating processes, and collaborating within Agile teams to meet complex data requirements.

As a Sr Data Engineer, you'll conduct feasibility analyses, develop applications, monitor processes, consult with users, and ensure compliance while serving as a mentor to junior analysts.

Lead applications systems analysis and programming, ensuring integration of functions, resolving complex business and system processes, and managing mid-level developers.

The Senior Market Data Platform Engineer will design and implement a low-latency market data distribution platform, focusing on performance optimization, architectural decisions, and collaboration with global teams, particularly in Equities trading.

Design, implement, and maintain scalable data infrastructure and real-time processing for analytics platforms. Migrate systems from AWS to on-prem Kafka/Spark, implement data transformations, support production, optimize pipelines, query and analyze data, and build scripts and APIs to operationalize data science work.

Design, build, and maintain scalable data pipelines (Dagster) and cloud ingestion (AWS S3) to support AI model training, validation, and regulatory workflows. Develop Python tooling, write and optimize SQL data models, implement validation/testing/monitoring, support dataset versioning and lineage for IEC 62304/FDA requirements, and collaborate with Data Operations and ML teams to ensure data quality and compliance.

Support senior cyber SMEs by collecting, tagging, and structuring risk assessment data; link assessments to external threat/vulnerability databases; build and maintain datasets, dashboards, and knowledge bases to enable proactive risk detection, trend analysis, and reporting for leadership.

Own and build the end-to-end data layer: extraction pipelines from messy supplier emails and PDFs, the unified data model, reliable observable pipelines, and ML-driven extraction evaluation. Drive extraction accuracy, data quality, lineage, monitoring, and automation to scale coverage and enable engineering and product to depend on the data layer.

Own and scale ReadyOn's data platform: design/build real-time and batch pipelines, implement ingestion and transformation workflows, model schemas in Snowflake and PostgreSQL, ensure observability and data quality, build connectors and feature-store roadmap, and provide technical leadership and mentorship across data, AI, and backend teams.

Build and maintain scalable data pipelines and architectures, perform ETL into data warehouses/lakes, enforce data governance and quality, manage databases, write optimized SQL, maintain metadata/catalogs, and produce Power BI reports using advanced DAX and Power Query.

The BI ETL Data Developer II/III develops and maintains scalable data pipelines in a cloud-based environment, enhancing data integrity and quality for informed decision-making across the University.

Senior ETL Data Developer to design, build, test, and support Epic Clarity and enterprise ETL solutions using SSIS (and DataStage). Develop and optimize ETL workflows, implement standards, troubleshoot complex integration issues, document designs, and collaborate with reporting, analytics, and business teams to deliver data warehouse solutions and integrations.

As a Data Engineer, you will build and maintain data pipelines, ensure data quality, support ML workflows, and optimize query performance using various technologies.

The Data Engineer will build and maintain data pipelines, optimize AI workflows, and ensure data operations, governance, and security for strategic intelligence.

Build and maintain ingestion pipelines and dbt transformations for heterogeneous healthcare data (claims, enrollment, TPA feeds). Implement orchestration (Dagster/Airflow), monitoring, and data-quality observability. Partner with data science to support feature pipelines and feedback loops, document data limitations, and resolve upstream issues to ensure trustworthy data for underwriting and pricing.

Lead design and implementation of a scalable Big Data Audience Management platform (500+ TB). Own data pipelines (ingest, validation, transformation, storage) using Spark and Scala, mentor engineers, perform R&D on new technologies, and partner with product managers to meet roadmap and business needs.

Maintain and troubleshoot voice, data, radio, and video infrastructure including LAN/WAN, PBX/voice mail, microwave and VHF/UHF radio, fiber cabling, routers and SCADA. Install, repair, and administer telecom equipment, coordinate with carriers, support video conferencing, and provide first-level PC and electronic support while complying with safety regulations.

Maintain and troubleshoot voice, data, radio, and video network infrastructure (LAN/WAN/MAN, PBX, microwave, VHF/UHF, fiber). Install, maintain, and repair telecom equipment, serve as PBX/phone mail administrator, support SCADA, configure routers and channel banks, and provide first-level PC and technical support.

Install, maintain, and repair voice, data, radio, and video telecommunications infrastructure (LAN/WAN/MAN, PBX, microwave, VHF/UHF, fiber, video conferencing). Administer PBX/voicemail, support SCADA, configure network equipment, coordinate with carriers, provide first-level PC support, and ensure regulatory and safety compliance.