Top Data Engineer Jobs in Portugal

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.

The CRM System Administrator and Data Engineer will manage Dynamics 365 and the data warehouse, collaborating with users to optimize processes and support system integration.

Design, develop, and maintain scalable data pipelines, warehouses, and stores. Build ETL/ELT workflows, process structured and unstructured data with SQL and Python, validate databases, and support data platform scaling, monitoring, and operations for mission-driven clients.

Lead design and implementation of Azure cloud Lakehouse and ETL/ELT solutions using Databricks and PySpark. Architect medallion Delta Lake platforms, build metadata/YAML-driven pipelines, optimize Spark workloads, implement CI/CD and IaC, enforce data governance and quality, mentor engineering teams, and drive cloud migration and stakeholder alignment for enterprise analytics and downstream applications.

Design, develop, and maintain ETL pipelines, databases, and data visualizations to support 300mm semiconductor manufacturing. Analyze operational performance, automate data extraction, troubleshoot systems, collaborate with stakeholders, and integrate emerging technologies to improve manufacturing efficiency.

Build and maintain low-latency, real-time analytics and ETL pipelines for sports betting products. Support production systems during live events, integrate complex datasets, develop predictive analytics and enterprise APIs, and contribute to automated sports data delivery frameworks.

Design, develop, test, and maintain enterprise infrastructure software and data systems. Analyze system performance, recommend COTS/GOTS use, collaborate with users and engineers, investigate process issues, and document test results. Follow software development and design methodologies appropriate to the environment.

Design and deliver Databricks lakehouse solutions: build ETL/ELT pipelines with PySpark and SQL, implement governance and Unity Catalog, integrate data platforms with applications via APIs/events, apply cloud architecture best practices, automate CI/CD for Databricks workloads, and consult with clients on requirements and solution design.

Design, deploy, and maintain Cisco-based network infrastructure in data centers. Implement and troubleshoot routing protocols (BGP, OSPF, EIGRP), switching technologies (VLAN, STP, EtherChannel, port security), Cisco ACI and SD-WAN. Manage Cisco Nexus platforms, wireless, F5 load balancers, and ISE. Support on-site installations, upgrades, and long-term network operations.

As a Data Engineer, you will design and maintain data pipelines, support DoD systems, and ensure data quality and compliance.

Design, build, and maintain automated ETL/ELT pipelines to integrate and transform enterprise data into curated, business-ready datasets. Develop Python-based processing and automation, ensure data quality, optimize workflows, document architectures, and collaborate with stakeholders to support finance, supply chain, HR, and operations analytics.

Design, build, and maintain scalable batch and near-real-time data ingestion, transformation, and curation pipelines using Databricks and AWS. Support full pipeline lifecycle (intake, profiling, development, testing, release), implement data quality and observability, enforce metadata/lineage/governance, integrate with enterprise services, and prepare curated datasets for SQL and BI consumption.

Build and maintain production data pipelines and model implementations for Property and General Liability pricing. Collaborate with Actuarial and Data Science to translate requirements into scalable, cloud-native solutions, embed MLOps practices, establish data quality controls, provide technical leadership, and support modernization and monitoring for pricing models.

Build and maintain scalable, high-availability data systems and ELT pipelines combining sensor, financial, and commodity data. Design enterprise data solutions, optimize storage and retrieval, ensure data quality, and partner with stakeholders to enable analytics across the business.

Design, build, and maintain scalable data pipelines and transformations using Snowflake, Airflow, and CI/CD. Ensure data quality, de-identification, monitoring, and optimization. Collaborate with architects, analysts, and stewards to meet business requirements and implement robust, production-ready data solutions.

As a Senior Data Engineer, you will automate processes, optimize data handling, build data products, and govern data while mentoring junior engineers.

The Security Engineer will develop a comprehensive security strategy for hybrid robotic deployments, focusing on data encryption, access control, and secure remote access, while ensuring compliance and auditing standards are met.

The Portfolio Chief Engineer will lead design and implementation of Data and Analytics Systems, working with customers and engineering teams to generate innovative solutions, engage in business development, and ensure technical excellence in large-scale information management.

Design, build, and support secure, scalable cloud data solutions and ETL pipelines (PySpark) for regulatory reporting and analytics. Lead technical solution design, implement CI/CD with Azure DevOps, enforce data governance, quality, and compliance, produce documentation, mentor teams, and collaborate with stakeholders to align data architecture with business goals.

The Data Center Engineer I is responsible for deploying and maintaining infrastructure, diagnosing issues, managing inventory, and collaborating with peers in a data center environment.