Top Data Engineer Jobs in Portugal

Design, implement, and test a custom web application for the companys cloud data lake. Build scalable, resilient features, ensure data accuracy, integrity, and security, troubleshoot defects, participate in design/code reviews, mentor engineers, and join on-call rotations to support critical systems.

The Junior Data Engineer will work with data to enhance trading systems, support data warehouses, and collaborate on technical solutions with the team.

Design, build, and maintain scalable ETL/ELT pipelines using Python/PySpark and Snowflake. Implement Snowflake objects and optimize performance, ingest structured and semi-structured data, apply dimensional modeling, enforce data quality and governance, monitor pipelines, and collaborate with architects and stakeholders to deliver cloud-based data platform solutions (Azure).

Design, implement, and optimize large-scale data processing on Databricks and Spark. Build ETL pipelines, integrate data across AWS services (Redshift, RDS), orchestrate workflows with Airflow, and ensure data warehousing and engineering best practices. Lead and mentor development teams and collaborate with cross-functional stakeholders to drive data strategy and execution.

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, build, and maintain scalable cloud data pipelines and ETL/ELT processes using Azure Data Factory, Snowflake, SQL, and Python. Integrate enterprise and third-party data, validate and model datasets for BI, reporting, automation, and AI, monitor and optimize pipeline performance, and document data flows while partnering with 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.

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 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.

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.

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.

Design, build, and maintain production-grade ETL/ELT pipelines and data models using dbt, Spark, and cloud platforms. Manage ingestion, data quality, observability, semantic layers, and BI outputs. Collaborate with analysts and data scientists to deliver governed, high-quality data products and implement DataOps and CI/CD practices.

Design and manage financial systems for accurate cashback calculations, build and maintain reconciliation processes, ensure data integrity for yield-bearing instruments, collaborate with compliance, and partner with cross-functional teams to improve financial system efficiency.

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.

The role involves developing and maintaining data workflows for research teams, managing scientific applications and data governance while collaborating with scientists and vendors to deliver scalable informatics solutions.