Top Data Engineer Jobs in Portugal

As a Data Engineer at Reach Financial, you'll develop and manage data pipelines, collaborate with data scientists and analysts, maintain documentation, and troubleshoot issues while modernizing the company's data platform. You'll work closely with Lead and Senior Data Engineers and help evaluate new tools for optimizing the data ecosystem.

The Data Engineer is responsible for migrating data from legacy systems, developing scalable data pipelines, managing data sources, and ensuring data quality and security. They will also perform audits, work on data warehouse architecture, and integrate new data sources for improved business decision-making.

The Intermediate Data Engineer at VideoAmp will join the Content Measurement Engineering team to solve complex data-oriented problems. Responsibilities include delivering new product features, enhancing existing products through ETL processes using Python and SQL, ETL orchestration with Airflow, and API development in Go. The engineer will participate in the full product lifecycle and contribute to high-impact solutions for advertising technology.

As a Data Engineer at Barbaricum, you will configure and manage data repositories for the Department of Defense, ensure secure data ingestion and processing, and support data analytics initiatives. Responsibilities include automating processes, maintaining data operational health, and engaging with teams to drive innovative solutions.

The Data Engineer will build and maintain data pipelines and infrastructure, collaborate with data analysts, enhance data systems, and educate the business on best practices to support Strike’s product roadmap.

The Data Engineer I will design, build, and test batch and streaming data pipelines, transforming raw data into datasets for analysis, reporting, and machine learning models. This role requires collaboration with other engineers, participation in the software development lifecycle, and maintaining data pipelines for various business areas within Condé Nast.

The Data Engineer will drive Plaid's data engineering strategy, focusing on building and scaling golden datasets, enhancing data architecture, and fostering a data-driven culture. Responsibilities include serving as the technical leader, mentoring junior engineers, collaborating with teams to deliver reliable data solutions, and ensuring the quality and effectiveness of data processes.

The role involves designing and implementing data pipelines using Azure technologies, integrating various data sources, and optimizing data systems to meet business goals. The candidate will also engage in real-time streaming and advanced analytics modeling while focusing on data quality and transformation techniques.

As an AWS Data Engineer at Tiger Analytics, you will design, build, and maintain scalable data pipelines on AWS. Responsibilities include implementing data workflows, optimizing performance, and collaborating with data scientists and business stakeholders to deliver analytics solutions.

As a Data Engineer at Walmart Global Tech, you will collaborate with teams to understand business requirements, develop services and systems, and enhance applications. Your role involves creating scalable solutions using Java, Python, and other technologies, participating in code reviews, and ensuring operational excellence.

Join Aircall as a Senior Data Engineer in San Francisco to design, build, and maintain core data infrastructure. Collaborate with teams to enhance data stack, ensure data integrity, and lead technology optimization efforts.

As a Data Engineer at Legalist, you will design and develop scalable data pipelines, collaborate with cross-functional teams to meet data needs, and optimize data pipeline performance. Responsibilities include developing ELT processes, participating in agile development, and applying best practices in data modeling.

As a Senior Data Engineer, you will design, implement, and maintain scalable data infrastructure. Responsibilities include building data pipelines using Databricks, implementing DevOps tools for CI/CD, optimizing performance, ensuring data quality, collaborating with teams, and providing mentorship.

The Senior Data Engineer at EquipmentShare will design, build, and maintain a scalable data platform to support analytics and machine learning. Responsibilities include developing data products, managing CI/CD pipelines, monitoring capabilities, and mentoring peers in a collaborative agile environment.

The Manager, Data Engineer will lead the data engineering team, manage project timelines, coordinate with departments, and ensure alignment with business objectives. Responsibilities include building data pipelines, optimizing data storage systems, and collaborating with analysts and architects to improve data acquisition and transfer.

As a Senior Data Engineer at EquipmentShare, you will design, build, and maintain a scalable data platform while collaborating with cross-functional teams. You'll focus on automation and self-service features for data products, establishing CI/CD pipelines, and developing monitoring capabilities.