Top Data Engineer Jobs in Portugal

Design and implement data integration and data warehouse solutions using big data technologies. Build cost-efficient, performant cloud data pipelines, apply data modeling and machine learning knowledge, and implement real-time streaming and aggregation patterns.

Lead technical ownership of the SQL Server data warehouse, replication architecture, ETL/ELT pipelines, and Power BI analytics. Design scalable relational models, optimize SQL Server performance, build and maintain semantic models and reports, establish data governance, and translate business needs into reliable, actionable reporting solutions across departments.

Lead design, deployment, and operational support for enterprise data protection across hybrid cloud and on-prem. Focus on encryption, tokenization, key management, HSM operations, integrations with apps and storage, automation via IaC, incident response, vendor strategy, and troubleshooting. Partner with application and infrastructure teams to ensure secure, stable production data protection and compliance.

Build and integrate deep learning models into software pipelines, collaborate with product and engineering teams, support data ETLs, and deploy solutions to cloud-hosted environments.

Provide technical service and support for AI data center systems, including installation, maintenance, troubleshooting hardware and software, and collaborating with clients to ensure high-performance enterprise computing operations.

Lead human-centered design and front-end engineering for the NIH Data Lakehouse: conduct user research and testing; create wireframes, prototypes, flows, and accessible interfaces; build scalable React/Next.js/TypeScript UI components; integrate with GraphQL and search services; contribute to design systems, component libraries, and platform-wide front-end best practices.

Design, build, and optimize scalable data pipelines and architectures using SQL and AWS big-data technologies. Assemble complex datasets, automate processes, enable analytics and stream processing, secure cross-region data, and support cross-functional stakeholders including data scientists and product teams.

Support early-stage project development and feasibility for electrical infrastructure projects. Perform development-phase engineering, system performance modeling, CAD work, cross-discipline coordination, QA/QC, proposal support, client technical communication, and tool improvement. Provide pre-sales technical support and contribute to business development activities.

Perform detailed physical substation engineering for data center projects under a licensed PE's supervision. Produce designs, drawings, specs, ampacity and conduit calculations, QA/QC, coordinate multidisciplinary work, and occasionally perform field inspections and construction supervision.

Design, program, test, install, and commission SCADA, relay, and PLC systems (primarily SEL/RTAC). Produce schematics, configuration files (IEC61850, DNP3, MODBUS), AutoCAD drawings, perform field commissioning/troubleshooting, and prepare project documentation. Support clients and perform periodic interstate field assignments.

Lead ETL and data architecture for AML, trade/sales surveillance, and compliance data repositories. Design and develop complex Informatica PowerCenter 9.1 mappings, enforce ETL architecture standards, tune performance, automate and maintain ETL utilities, collaborate with BAs and DBAs, provide production support, and mentor junior ETL developers.

Design and implement large-scale data processing solutions (GB/PB) using Hadoop, NoSQL, MPP and related open-source tech. Participate in architecture/design, provide implementation details to offshore teams, produce whitepapers/case studies, ensure timely quality deliveries, and share knowledge through training sessions.

Designs and implements large-scale data solutions using Java and open-source big data technologies (Hadoop, NoSQL, Solr, Storm, Kafka). Participates in architecture and design discussions, delivers implementations, collaborates with senior architects and offshore teams, authors technical papers, and shares knowledge across the organization while ensuring performance, scalability, and timely quality delivery.

Work on client onboarding/migration as a Data Analyst/Database Developer: gather business requirements, perform data analysis, mapping, profiling and query optimization. Coordinate with US/UK/India teams and vendors, ensure data quality via control scripts, identify source systems and eliminate redundancies. Assist BUAT, train new resources, and support extracts, views, and client reports. Financial services domain expertise required.

Design, implement, and maintain enterprise database solutions and Big Data (Hadoop) systems. Lead database architecture, HA/DR, migrations, patching, performance tuning, security, capacity planning, monitoring, and incident recovery. Provide technical leadership, SOP documentation, and support BI/data mining activities. Role requires shift work.

Design, build, and automate scalable batch and streaming data pipelines, implement data models and ETL, automate deployments, support ML/experimentation, maintain server architecture, and partner with stakeholders to deliver analytics and data-driven tools.

Build and maintain Power BI dashboards and reports, partner with stakeholders to define KPIs, ensure data accuracy and governance, resolve reporting issues, work with Microsoft Fabric/Delta Lake, and lead small analytics efforts while mentoring others.

The role involves evaluating IT security data, documenting security gaps, developing interoperability measures, prototyping algorithms, and generating analytical reports. Strong network engineering knowledge and TS/SCI clearance are required.

The Senior Data Engineer will optimize the data platform, build scalable data pipelines, improve data access and quality, and establish data engineering discipline within the company.

As a Senior Software Engineer, you will design APIs, manage database architecture, optimize performance, and collaborate with cross-functional teams to support the Data Platform Team's backend solutions.

Lead design and implementation of scalable data infrastructure to ingest, transform, and serve structured and unstructured financial data. Build high-performance streaming and batch pipelines, integrate heterogeneous data sources, ensure security and data quality, enable AI consumption, and mentor engineering teams while driving observability and reliability.

The job involves requirements engineering for software systems related to data platforms, focusing on the analysis and gathering of system requirements.

Hands-on senior role to design, develop, and support AI, analytics, data engineering, IoT, and intelligent automation solutions. Build scalable data pipelines, API integrations, streaming and operational intelligence platforms, generative AI agents, predictive maintenance models, and Power BI reporting to improve operations, asset performance, and decision-making across the enterprise.

The Senior Data Engineer will architect and enhance data infrastructure, create dependable data pipelines, oversee cloud-based data warehouses, and mentor engineers to enable scalable solutions for analytics and machine learning.

Build, operate, and scale governed data pipelines and curated lakehouse datasets on Azure to support analytics, operational intelligence, and AI-enabled use cases. Deliver production-ready PySpark/SQL transformations, manage pipeline monitoring and performance, document lineage and business rules, and collaborate with stakeholders to ensure secure, governed, and reusable data products.