Top Data Engineer Jobs in Portugal

Design, build, and maintain scalable Databricks-based ETL/ELT pipelines and analytics-ready data products on Azure and on-prem. Partner with business and engineering stakeholders to deliver end-to-end data initiatives, apply enterprise design standards, optimize production pipelines, and present technical solutions to stakeholders.

Design and maintain data pipelines, data contracts, and transformation layers for analytics. Model complex sources, enable observability and lineage, collaborate with product teams, and optimize data structures for scalable cybersecurity and industrial datasets.

Design and implement foundational data systems for AI, focusing on efficiency and performance at scale. Collaborate on systems that optimize data handling and contribute to research advancements.

As a Senior Data Engineer, you will design and build data pipelines, manage data architecture, ensure data security, and mentor team members while collaborating across teams to create impactful data products.

The Senior Data Engineer will design and develop data pipelines, manage data architectures, ensure data security, and mentor team members, while optimizing processes for large-scale projects.

As a Senior Site Reliability Engineer, you'll ensure the reliability and performance of a Kubernetes-based data platform, focusing on scaling infrastructure, enhancing security, and optimizing deployment processes.

The Software Engineer will develop and manage data platforms for CoreWeave, focusing on performance, security, and scalability while facilitating data access and compliance with regulations.

Design and implement data platforms, manage data infrastructure, develop streaming architectures, improve performance, and ensure data compliance.

As a Senior Data Engineer, you will optimize the data platform, build efficient pipelines, democratize data access, and drive strategic infrastructure decisions to enhance data initiatives at January.

The Senior Data Engineer will design and build scalable ELT/ETL pipelines, improve data quality, and collaborate with teams to ensure accurate data delivery and operational excellence within Cedar's data platform.

The Staff Data Engineer will lead design and implementation of analytics platforms and data products, collaborate cross-functionally, mentor engineers, and drive best practices at Upside.

Lead design and optimization of high-throughput data ingestion pipelines and Python-based microservices. Improve pipeline performance, reliability, and observability across distributed systems, define unified ingestion architectures, work with Snowflake for analytics, mentor engineers, and collaborate cross-functionally to ensure scalable, fault-tolerant data platforms.

The Lead Data Engineer designs and develops technical solutions, collaborates with Agile teams, and utilizes big data technologies, cloud computing, and full-stack development to drive digital transformation at Capital One.

Lead and mentor a data engineering team to design, develop, test, and support cloud-based big data and streaming solutions. Build full-stack data pipelines using Java/Scala/Python, RDBMS/NoSQL, Redshift/Snowflake, and cloud platforms. Collaborate with product managers, perform unit tests and code reviews, and promote engineering best practices and tech community engagement.

Own SQL and dbt-based data modeling and data quality for clinical and claims datasets. Author and refactor dbt models/tests, triage DQ alerts, design monitors, optimize SQL performance, and collaborate with Data Engineering and stakeholders to ensure trusted production datasets.

New-graduate Data Scientist role building and deploying ML and GenAI systems at scale for cybersecurity. Responsibilities include model development, fine-tuning LLMs, embedding-based search, production-ready code, automated tests, architecture reviews, and cross-functional collaboration to deliver AI-powered security capabilities.

Lead architecture and standards for CoreWeave's enterprise data ecosystem: design lakehouse/streamhouse architectures, modeling and semantic layers, governance, data quality, lineage, observability, and reusable data products. Drive cross-domain solutions, resolve performance and scalability constraints, evaluate core data technologies, conduct architecture reviews, and mentor senior engineers.

Design, build, and operate instrumentation, DAQ, and automated test control systems for spacecraft testing. Develop test automation (LabVIEW, Python, MATLAB), commission and calibrate sensors, troubleshoot hardware/software integration, perform post-test data analysis, and maintain data management and requirements traceability in hazardous test environments.

Design, develop, and maintain enterprise data pipelines, ETL/ELT workflows, and data management processes in Markit EDM. Integrate market, reference, and transactional data from vendors and APIs, implement data quality checks and reconciliations, support reporting and downstream integrations, troubleshoot production issues, and mentor junior engineers within an agile squad-based team.

As a Quantitative Developer, you'll innovate and enhance quantitative methods, develop custom tools, maintain data pipelines, and collaborate with researchers for advancing investment strategies.

The Senior Data Engineer will design and deploy AI solutions, build scalable data systems, and manage cloud databases while collaborating with teams to enhance decision-making processes.

Design and operate metadata cataloging, lineage harvesting, governance workflows, and data quality for unstructured data. Configure and maintain Atlan/Anomalo/Unity Catalog, build automated checks and prototypes using Python/SQL/Databricks/Streamlit, collaborate with stakeholders, document standards, and drive governance tool adoption.

Scope, implement, validate, and monitor merchant data integrations to ensure accurate input to data science models. Maintain data configuration, create JSON/CSV templates, write Python/SQL/Spark/Databricks/R scripts for testing and transformation, upload historical data, triage alerts, and coordinate with internal and client teams to resolve data issues and improve pipelines.

Design, build, and maintain scalable batch and real-time data pipelines and data lake architecture. Improve observability and SLOs, optimize ETL/ELT, develop dbt workflows, support event-driven architectures, integrate financial APIs, and collaborate with analytics and ML teams to deliver reliable, model-ready data products.

As a Senior Lead Data Engineer, you will lead teams to design technical solutions, focusing on data integration and AI capabilities to support business needs, applying your expertise in cloud computing and big data technologies.