Top Data Engineer Jobs in Portugal

Lead the design and optimization of data infrastructure, focusing on scalability. Requires expertise in GCP, ETL/ELT processes, and collaboration across teams.

The Senior Data Engineer will build and deploy data pipelines, develop warehouse architectures, and design analytics solutions for the team.

The role involves designing ML systems using multi-omics data, developing causal models, collaborating with scientists, and optimizing ML methods.

The Senior Data Engineer will optimize data architecture, troubleshoot integrations, and refactor legacy systems within a product team focused on client applications.

As a Forward Deployed Engineer, you will design scalable data pipelines, optimize code for data processing, and collaborate with AI teams to meet their data needs.

The Databricks Senior Data Engineer designs and optimizes data platforms, implements ETL/ELT solutions, and collaborates with teams to enhance data quality and performance.

Design and build AI-powered analytical data and machine learning infrastructure, ensuring reliability and efficiency while collaborating with teams across the organization.

Provide first-level IT communications support, maintain network performance, utilize Solarwinds for diagnostics, assist with VOIP systems, and produce documentation.

The Business Intelligence/Data Cube Developer will generate reports and data cubes, write custom ETL jobs, and support analytics for a federal agency.

Design and maintain data pipelines, collaborate with stakeholders, ensure data quality, deploy infrastructure as code, and optimize reporting solutions.

The Software Engineer will manage data collection, operate cloud infrastructure, and collaborate with scientists to enhance AI models at Speechify.

Design and develop scalable infrastructure and services for data pipelines and distributed systems, working on an AI/ML platform for enterprise applications.

The Senior Data Engineer will manage data tuning on relational databases, utilize Big Data technologies, and coordinate with technical teams and business users.

The Senior Data Engineer will utilize advanced data tuning skills on relational databases, manage big data technologies, and facilitate communication among technical teams and business users.

Big Data Engineer responsible for implementing solutions for large data processing and real-time systems, conducting technical sessions, and ensuring quality deliveries.

Seeking a Senior Big Data Engineer with at least 8 years of Java or Scala experience and expertise in big data technologies and cloud deployment.

As a Senior Data Engineer, you will collaborate to build Data Warehouse Solutions, develop data products, and optimize data processes using tools like dbt and Airflow. You'll ensure data integrity and work with various stakeholders to translate business requirements into technical solutions.

The Software Engineer III/Senior will maintain and evolve billing systems, build event tracking pipelines, manage customer-visible insights, and ensure data integrity for billing related to customer usage.

Looking for a Technology Lead with expertise in Big Data technologies and tools, specifically Hadoop, Java, and various data processing frameworks. Must have extensive experience in the software development life cycle and knowledge of project life cycle activities in DW/BI development. Requires strong analytical skills and familiarity with scripting and Unix.

As a Data Platform Engineer, you will build and maintain self-service platforms for data processing and analytics using cloud technologies and automation tools.

The Application Engineer will develop analytics using Pig and PySpark, manage data flow, ensure process reliability, and collaborate on data projects.

The Technology Lead - Big Data Developer will work on Hadoop frameworks, Java, and Python, implementing MapReduce and managing Big Data projects utilizing tools like Hive, Pig, and NoSQL.

The Technology Analyst will develop Big Data applications leveraging Hadoop, Java, and Python. Responsibilities include project lifecycle participation, team collaboration, and client interfacing in a global delivery environment.

The role involves developing applications using Big Data technologies such as Hadoop and working on various data processing tools. Candidates should have experience with project life cycles and collaboration in a team environment.

Seeking a Data Network Operations Engineer with 8-10 years experience in network operations, troubleshooting, and project management, alongside relevant degrees and certifications.