Top Data Engineer Jobs in Lisbon

The Research Engineer at Autodesk will lead engineering projects focused on data acquisition, processing, and experimentation to build ML-powered product features. This role involves organizing diverse datasets into unified formats suitable for machine learning while collaborating closely with researchers. Responsibilities include developing pipelines, conducting experiments, and ensuring data compliance.

As a Senior Data Platform Engineer at Veeva Systems, you will design and develop data pipelines for Veeva Link, enhancing the existing data platform using Python and Apache Spark. You will be responsible for the architecture of the AWS infrastructure while applying clean system design principles and monitoring features to ensure quality outcomes.

The Principal Data Engineer will build data foundations for an AI-powered architecture design product, creating optimized data systems and robust data pipelines that support rapid experimentation and decision-making processes, and collaborating with cross-functional teams to meet data needs.

As a Research Engineer at Autodesk, you will build ML-powered product features and unify disparate data sources (text, images, 3D models). Your role involves developing scalable systems for data processing, conducting experiments, producing visualizations, and ensuring compliant data use while collaborating with AI researchers.

The Senior Data Support Engineer role involves developing data engineering solutions, including data manipulation, modeling, and transformation using various tools and technologies. Responsibilities include supporting QA processes and user acceptance testing, as well as collaborating with teams to deliver complex data projects.

As a Data & AI Video Content Developer at DataCamp, you'll create engaging educational video content focused on data and AI for social media. Responsibilities include content prioritization, production, and post-production, collaborating with marketing and SEO teams to deliver high-quality materials. Strong communication and organizational skills are key, alongside a passion for data education.

As a Senior Data Engineer, you will enhance the online car market user experience by building and maintaining data pipelines, simplifying tools, and driving improvements while collaborating with a team of Senior Engineers and managers.

The Senior Data Ops Engineer will maintain data and database platforms, ensuring high data availability and performance. Responsibilities include managing data pipelines, collaborating with engineers, automating infrastructure with Terraform, and integrating Docker in CI/CD processes.

As a Senior Data Engineer, you will leverage your expertise in Google Cloud and associated technologies to help clients modernize their data processes. You will engage in building ELT and ETL pipelines, working with various databases, and offering strategic guidance within customer teams.

As a Lead Data Engineer, you will shape the future of online car markets, leading complex data projects, organizing teams, and designing new data solutions while working closely with engineers and management in a collaborative environment.

As a Senior Data Engineer at Auros, you will be responsible for developing and maintaining high-throughput data architectures, analyzing and automating data quality improvements, and building trading analytics systems. You will collaborate with trading teams to enhance data analysis and systems for executing trades globally.

As a Data Systems Engineer, you will develop key technology for processing blockchain data, implement storage strategies, optimize performance in multi-tenant systems, and build data transformation pipelines. You will also leverage Apache DataFusion and contribute to the engineering of core components of The Graph.

The Staff Data Engineer will build and maintain data pipelines, develop data models for efficient querying, implement automated data quality checks, and collaborate with AI teams to leverage generative AI. The role promotes wellbeing and work-life balance.

The Senior Data Engineer will design and implement innovative data solutions, collaborate with teams to develop in-house solutions, lead technology integration, and enhance data architecture and product integration to improve the organization's data ecosystem.

As a Senior Data and AI Engineer, you will lead AI strategy, design data pipelines, and deploy AI models using cloud infrastructure while collaborating with teams to integrate AI solutions, ensuring responsible innovation.

As a Senior Data Software Engineer at Wellhub, you will design and implement innovative data solutions to empower teams, enhance automation, and support data-driven decisions. You will collaborate on the development of a scalable data platform, lead the integration of new technologies, and promote a culture of wellbeing within the organization.

The Senior Data Engineer will design, develop, and maintain data pipelines, write complex SQL queries, implement data models in Snowflake, and develop Python and C# scripts for data processing. The role involves collaboration with data analysts and ensuring data quality while optimizing data storage and performance.