Top Data Engineer Jobs in Portugal

Develop and maintain Hadoop/Big Data solutions using Pig, MapReduce, Hive, HBase, Spark, Kafka and related tools. Build Java-based components, scripts, and APIs; tune performance on large datasets; participate in full project lifecycle and collaborate with stakeholders.

Develop ETL and data visualization solutions for a big data customer and partner experience transformation program. Build native Hadoop and Vertica ETL pipelines, collaborate with stakeholders, and support data integration and visualization deliverables for analytics teams.

Design, develop, maintain and test scalable big data solutions. Build preprocessing and reporting pipelines, collect/parse/analyze/visualize large datasets, test and deploy machine-learning models on big data, and work in agile teams to deliver analytics solutions.

Design, build, and maintain data warehouses, data marts, and OLAP solutions; develop ETL frameworks, data models, SSIS/SSAS/SSRS artifacts, and performance-tuned SQL Server databases to support analytics and visualization projects.

Design, build, maintain, and test big data solutions and preprocessing/reporting pipelines. Collect, parse, manage, analyze, and visualize large datasets. Test and deploy machine learning models for scoring and prediction. Collaborate in agile teams to deliver scalable, reusable code and production-ready analytics on cloud platforms.

Design, develop, and implement web applications using Microsoft .NET, AngularJS, Node.js and MongoDB. Build and consume web services (WSDL/SOAP/REST), XML/XSLT and WCF. Participate in all SDLC phases including architecture, development, testing, debugging, documentation and maintenance.

Design, develop, and maintain web applications using .NET, AngularJS, NodeJS and MongoDB. Build and consume WSDL/SOAP/WCF web services, work with XML/XSLT, participate in all SDLC phases including architecture, development, testing, debugging, documentation, and maintenance.

Design and develop Big Data solutions using Hadoop ecosystem (Pig, Hive, MapReduce, HBase, YARN, Spark, Impala, Kafka, Oozie). Implement Java and scripting-based pipelines, tune performance on large datasets, participate across SDLC phases, troubleshoot, and collaborate with stakeholders in a global delivery environment.

Design, develop, test and maintain scalable big-data solutions and workflows. Collect, parse, analyze and visualize large datasets; evaluate, test and deploy machine-learning models for scoring and prediction. Work in an agile team, automate tasks using scripting, and leverage Hadoop/Spark and AWS for production pipelines.

Develop and maintain web applications and services using Microsoft .NET stack and JavaScript frameworks. Build solutions with AngularJS, NodeJS, MongoDB; design and implement WCF/SOAP web services, XML/XSLT; participate across SDLC from architecture through maintenance.

Provide technical leadership for the MFS data platform, collaborate with cross-functional engineering teams to improve platform adoption, mentor engineers, and design and develop large-scale distributed systems using Big Data technologies and Kafka.

Serve as the on-site operations representative for data center construction, enforcing QA/QC standards, conducting inspections and walkdowns, coordinating with design and commissioning teams, reviewing MEP designs for maintainability, documenting progress and test results, and resolving engineering issues to ensure construction meets operational requirements.

Design, architect, and implement end-to-end data ingestion, storage, modeling, and provisioning solutions on the GE Predix platform. Lead cross-functional teams, set data architecture standards, develop OLTP/OLAP models, perform POCs, and enable analytics at scale while enforcing data management policies.

Design, implement and maintain scalable, secure data repositories and integrations for web and mobile applications. Lead migrations/refactors to cloud/service-based architectures, oversee third-party engineers, build CI/CD and telemetry, enforce governance/security, optimize data delivery, and collaborate with architects, analysts and product teams to support business-critical financial services applications.

Lead data discovery and design of enterprise data models, contracts, validation rules, and QA practices. Define metadata, data quality checks, and governance; partner with stakeholders and engineers to implement automated validation and ensure reusable, trustworthy city data.

Build and operate the data platform powering Vantaca IQ: ingestion and CDC pipelines, data modeling, aggregations and materializations, multi-tenant isolation, query/metrics APIs and reporting surfaces, LLM grounding/eval harnesses, and governed semantic layers to serve humans and agents with trustworthy intelligence.

The Senior Data Engineer will design and implement lakehouse architectures, optimize ClickHouse deployments, develop ETL/ELT pipelines, and create data models to support analytical and operational functions.

Design, develop, and enhance software products, focusing on scalable data platforms and requiring expertise in various programming and big data technologies.

The Senior Data Engineer designs and maintains data pipelines and architectures to support enterprise analytics, ensuring data quality and integration across systems.

Lead the design and implementation of data pipelines and infrastructure, set technical standards, mentor engineers, and manage data governance.

Design and build data pipelines and infrastructure; maintain data quality and accessibility; optimize data warehouse architecture while collaborating with teams to meet data needs.

Develop scalable data pipelines for autonomous driving, enhancing data extraction and labeling processes, and collaborating with cross-functional teams on ML models.

Lead software engineers at Pariveda design and deliver enterprise applications, guiding junior staff and solving complex client challenges using various technologies in an agile environment.

The Data Operations Engineer will monitor and optimize trading processes, enhance integration and deployment pipelines, ensure quality control, and lead continuous improvement initiatives while documenting and reporting on production performance.

The Staff Data Infrastructure Engineer will design and implement a scalable data platform, collaborating with engineering and product teams while ensuring data security and integrity.