Top Data Engineer Jobs in Portugal

Design, develop, and maintain scalable data pipelines, stores, and ETL/ELT workflows. Parse and process structured and unstructured data, deploy and operate data platforms, and collaborate with cross-functional teams to support analytics and reporting. Requires Secret clearance and a bachelor’s degree.

Design, build, and maintain cloud-based ELT data pipelines and analytics-ready datasets using Snowflake, dbt, and integration tools (Fivetran/Airbyte). Implement CDC and incremental loading, optimize Snowflake performance, enforce data quality and monitoring, create dimensional models for reporting, enable CI/CD for dbt projects, and collaborate with analytics and stakeholder teams to support reporting and advanced analytics.

This role involves ensuring the reliable operation of optical transport systems in data centers, coordinating with clients, and performing technical audits and installations while leading a team.

Develop and maintain backend services for a data platform, ensuring reliability and performance. Collaborate on scalable data models and contribute to architecture decisions.

As a Senior Data Engineer, you'll design and build data pipelines and architectures, ensuring data quality and governance while mentoring peers.

As a Senior Data Engineer, you'll design and build data solutions, optimize data pipelines, and ensure data governance while mentoring team members.

The Senior Data Engineer will design and build data pipelines, manage data architecture, ensure privacy compliance, mentor team members, and collaborate with cross-functional teams.

The role involves designing and optimizing backend systems for data migration and integration tools. Collaborates with teams to enhance performance and scalability.

Design, build, and maintain data pipelines, warehouses, and analytical systems. Collect, transform, validate, and model data from multiple sources, ensure data quality and security, automate ingestion and reporting, monitor workflows, create documentation, and collaborate with international clients and cross-functional teams to deliver data-driven solutions.

Design, build, and maintain production data pipelines, perform ETL and transformations, create data models and warehouses, automate reporting, ensure data quality and security, troubleshoot workflows, collaborate with clients and teams, and produce technical documentation.

Lead design, develop, test, and support cloud-based data platforms and scalable data pipelines. Mentor engineers, collaborate with product managers, and deliver high-performance data lakehouse/warehousing and event-driven solutions using big data and cloud technologies.

Lead design, build, test, and support cloud-based data platforms and streaming systems. Collaborate across agile teams to deliver scalable ETL, real-time processing, data warehousing, and mentor engineers while ensuring code quality and performance.

Administer and optimize Oracle Exadata engineered systems (on‑prem and cloud), ensuring availability, performance, capacity planning, backup/DR, monitoring (OEM), and lifecycle management. Build automation (Ansible, Python, Shell), support deployments/migrations across hybrid/cloud environments, troubleshoot complex platform issues, and participate in incident/change/on‑call processes to maintain platform resiliency and operational excellence.

Build and maintain data pipelines and transformation layer using dbt and SQL; monitor replication and orchestration pipelines, add data quality checks, and develop datasets and dashboards for internal and client analytics. Collaborate with senior engineers, participate in code reviews, and gradually take on more ownership.

Design, build, and deploy scalable AI-enabled data pipelines and ML services in secure, containerized environments. Collaborate with product, platform, and engineering teams to preprocess data, engineer features, validate models, and operationalize ML in DoD/CENTCOM mission contexts.

Builds and operates CBP data pipelines: configures Airflow/Glue/Spark/Kafka flows, performs ETL/schema mapping, runs quality checks, applies security/IAM patterns, triages ingestion failures, updates documentation, and tracks data pipeline performance to support analytics and mission partners.

Design, build, and scale high-volume data pipelines and architectures. Lead end-to-end data projects, improve feature engineering and models, ensure data quality and security, perform code reviews, and collaborate with data scientists and business stakeholders to deliver actionable insights.

Design, build, and maintain scalable AWS data pipelines and data lakes. Migrate legacy data to AWS, implement ETL/ELT, optimize storage and query performance, and enforce data quality, governance, and monitoring while collaborating with DBAs, data scientists, and stakeholders.

Lead design, development, and production deployment of intelligent agent systems that plan and execute tasks autonomously. Build scalable architectures, integrate ML/LLM models, automate workflows, design evaluation metrics, and implement APIs. Collaborate with researchers, data scientists, and engineers, produce technical documentation, and ensure compliance, security, and reliability of agentic solutions across products.

Develop and operationalize statistical models, ML algorithms, and data pipelines for space and counterspace intelligence. Analyze multi-source datasets, build ETL and CI/CD pipelines, integrate disparate systems, produce visualizations and reports, and ensure software quality, security compliance, and reproducibility in a classified environment.

Senior Addepar data engineer/analyst responsible for supporting and scaling Addepar integrations, building and maintaining data pipelines (Addepar↔Snowflake/Canoe/other platforms), diagnosing and resolving data quality issues, developing SQL-based reconciliations and automation, partnering with business and technology stakeholders, and supporting production operations, governance, testing, and documentation for wealth and asset management data.

Design, build, and own the pursuit intelligence platform integrating GovWin IQ, SAM.gov, Salesforce, and D&B. Lead API integrations, ETL/ELT pipelines, account scoring/tiering engines, and data architecture. Provide technical leadership through code reviews, coaching, documentation, and standards to support business intelligence and Go/No-Go decisioning for Pursuit & Capture.

Design, build, and maintain cloud-based ETL pipelines and data models for finance. Implement data security (RLS), semantic layers for Power BI, monitor data integrity, support analytics/AI initiatives, and collaborate with Finance, Accounting, and IT to deliver high-quality BI solutions.

Build and operate GCP-native data pipelines and lakehouse infrastructure using Airflow, dbt, and BigQuery. Design layered data models, manage ingestion (batch and streaming), implement observability and governance, and maintain CI/CD workflows to deliver reliable analytics for MLB stakeholders.

The Data Center Optical Engineer leads installation, maintenance, and operation of optical transport in customer data centers, ensuring high-quality execution and direct customer interaction.