Top Data Engineer Jobs in Portugal

Develop, debug, and optimize Hadoop-based data solutions using Pig, Hive, Sqoop, HBase and Java. Write and maintain shell/Python scripts, perform performance tuning, apply Big Data architecture/design patterns, guide the Hadoop team, coordinate with application teams for issue resolution, and provide on-call weekend support.

Design, build, and tune scalable data pipelines and streaming platforms using open-source tools (Kafka, NiFi, Hive, MapReduce) and NoSQL/SQL datastores. Automate ingestion, transformation, and augmentation of structured and unstructured data, collaborate with analysts, developers and data scientists, and ensure high availability and performance for analytics and transactional systems.

Design, develop, and support Big Data solutions on Teradata Aster and Hadoop platforms. Build ETL pipelines, data mining, reporting, and predictive analytics; write efficient code for large/unstructured datasets; translate business use cases to production; mentor users; contribute to Big Data roadmap and standards.

Develop and maintain Big Data applications using Java/Spring and Python on MapR HDFS with MapReduce, Pig, and Hive. Design NoSQL data models in HBase, participate in SDLC activities, configuration management, code reviews, and collaborate with offshore teams. Apply credit risk/fraud/payments domain knowledge and use tools like Jira, Maven, and SOAP UI.

Own and evolve the data platform: architect, build, and maintain data models, pipelines, and access layers. Ensure data quality, governance, and reliability; monitor and optimize infrastructure; provide technical leadership, code reviews, and collaborate with cross-functional teams to deliver scalable data solutions for operations and analytics.

Build quantitative analytics and electronic trading products by combining data analysis and full-stack web development. Develop dashboards and tools using ELK, JS frameworks, and SQL databases; write complex queries against Sybase/Sybase IQ/Rainstor and perform Excel-based analysis. Work in a small, entrepreneurial team to deliver production-ready analytics and web applications. C#/.NET and unstructured data exposure are nice-to-haves.

As a Senior Data Engineer, you will design and maintain data systems for Aircapture, focusing on building data pipelines and making architectural decisions to support climate technology.

In this role, the Senior Data Engineer designs and implements data architecture for analytics and ML initiatives, develops ETL/ELT pipelines, and ensures data quality and compliance, while mentoring junior team members.

The Sr. ETL Informatica Systems Engineer develops ETL applications for the EDW/BI program using Informatica tools, managing complex SQL and APIs.

Lead design, build, and maintain complex ETL/ELT data pipelines and integration solutions to support analytics and reporting. Ensure data quality, optimize processing for performance and scalability, monitor pipelines, document data lineage and procedures, and collaborate with stakeholders and analysts to resolve data issues and requirements.

As a Software Engineer for the data platform, you will build core data systems, collaborate on features, and improve development processes while also having diverse business opportunities in a startup environment.

Build and maintain scalable data pipelines and Python automations for ingesting, processing, and enriching data. Integrate SaaS sources via APIs, use Databricks/PySpark/Delta Lake and AI tools to power lead generation, enrichment, deduplication, and entity resolution. Collaborate cross-functionally to translate business needs into automated, production-ready solutions.

Lead design and global rollout of a high-performance core market data and execution platform. Implement and optimize low-latency market data ingestion, normalization, distribution, and execution components in modern C++. Own deployment, monitoring, profiling, and production optimization while collaborating closely with quants and technical traders to enable systematic pricing and trading strategies.

Lead design and global rollout of a high-performance market data and execution Core Platform. Build low-latency ingestion, normalization, distribution, and execution components. Develop tools for quants and traders, own lifecycle from deploy to production profiling and optimization, and collaborate closely with engineers, quants, and traders to iterate on requirements and platform improvements.

The Senior Data Engineer will optimize data ingestion pipelines, manage PostgreSQL databases, design ETL processes, and ensure system reliability in a remote-first, collaborative environment.

The Senior Data Engineer will design cloud-based data storage solutions, develop ETL/ELT pipelines, and support AI operations while managing data access layers and governance best practices.

Build and scale the company's data infrastructure: design ingestion paths, event models, schema-flexible data models, change capture, query performance, freshness guarantees, and analytics serving for customer-facing dashboards and evaluation pipelines.

Design and build SOCOTEC's enterprise data platform: scalable Databricks/Spark/Delta Lake pipelines, data models, and MDM. Ingest from ERP/CRM, enable batch and near-real-time processing, ensure data governance, quality, lineage, and provide datasets for analytics and AI while driving architecture and observability.

Design, build, and maintain production-grade data pipelines, Python services, and Databricks workloads for a large-scale financial data platform. Improve performance, reliability, observability, and data models; troubleshoot issues; participate in architecture, code review, and cross-team collaboration to deliver enterprise reporting and integrations.

Design and implement a scalable data platform and integration pipeline to ingest, normalize, and index enterprise data. Build connectors, ETL/streaming pipelines, and storage/indexing strategies to support semantic search and GenAI use cases. Partner with applied AI teams, make build-vs-buy decisions, and create reusable patterns to scale integrations.

Lead software engineer building enterprise applications across the SDLC. Coach and lead small teams, work client-facing to diagnose problems, architect and deliver cloud and data-driven solutions using modern languages, web and mobile frameworks, AI/ML, DevOps, and present solutions to stakeholders in a hybrid model.

The Cyber Data Analytics Engineer designs and maintains data systems to support cybersecurity, ensuring log data compliance and accessibility for government agencies.

Lead technical evaluations and pre-sales activities for data-driven, AI-powered Salesforce solutions. Design data architectures and AI use cases, deliver demos, proofs of concept, and workshops, advise customers on data ingestion/integration and real-time analytics, and collaborate with sales and marketing to drive revenue.

The Senior Data Engineer will design and build scalable data platforms, handle automation for data operations, and ensure reliability and performance of data pipelines while collaborating with various teams.

Build and scale Allocate's AWS-based data lakehouse and pipelines (batch and real-time). Model financial entities and integrate internal/third-party sources. Enable ML/AI workflows, vector and knowledge-graph integrations, CI/CD and containerized deployments, and collaborate with engineering to deliver reliable, production-grade data and AI infrastructure.