Top Data Engineer Jobs in Portugal

As a Data Engineer I, you will design, build, and operationalize complex data solutions, analyze data sources, and support data quality and governance. The role requires collaboration with teams to educate end users on analytic environments, testing data movement, and resolving defects. A focus on data management competencies will be key to transforming the analytics landscape of the organization.

The Data Engineer will build and maintain Perplexity's data pipelines and infrastructure, working with cross-functional teams to support analytics and machine learning applications, while ensuring scalable and efficient data processing systems.

The Data Engineer will design and optimize data pipelines, maintain data architectures, implement quality checks, collaborate with teams on technical solutions, and innovate within the analytics services team. Responsibilities include overseeing project delivery and ensuring data integrity while mentoring junior team members.

The Data Engineer role involves collaborating with IT teams to design and implement data integration solutions, ensuring smooth operation and continuous improvement of data pipelines. This position requires hands-on experience with ETL workflows and tools like Informatica and SQL, and involves working closely with business stakeholders to translate needs into scalable data architectures.

As a Data Engineer at Visa, you will design and optimize data pipeline architecture, manage large datasets, and improve data delivery processes. Responsibilities include creating applications in Big Data and Cloud platforms, migrating corporate applications, building analytics tools, and automating services for efficiency.

The Data Engineer will enhance Trading Analytics by ensuring accurate data ingestion and reporting. Responsibilities include developing reports and dashboards, maintaining data integrity, identifying quality issues, integrating real-time datasets, and building predictive analytics APIs.

CapTech is looking for a Data Engineer to develop data pipelines leveraging cloud infrastructures like AWS, Azure, and GCP. Responsibilities include advising clients on cloud technologies, solving data challenges, and collaborating to maximize data architecture value. Candidates need to have experience in cloud solutions and strong SQL skills.

The AVP, Data Engineer at Global Atlantic Financial Group will expand and optimize data architecture, enhance data flow, and support data strategy initiatives across departments. Responsibilities include developing data applications, ETL processes, and data solutions for business intelligence. The role requires collaboration with business leaders and adherence to software development life cycle practices.

As an Azure Data Engineer, you will participate in user requirement analysis, prioritize and execute tasks throughout the software development life cycle, and write performant code in Azure Data Factory. You will develop applications and perform peer reviews, testing, and debugging of team members' code.

As a Senior Data Engineering Consultant, you will lead the implementation of cloud and AI solutions, drive architecture decisions, mentor junior engineers, and build strong client relationships to deliver innovative data solutions.

As an Azure Data Engineer, you'll establish a new Data Warehouse environment in Microsoft Azure, transition existing on-premise data ingestion and analytics functionalities to the cloud, and refine target architecture using the best tools and practices. You'll also provide guidance on technology standards and automation in Azure.

The Cloud Data Engineer III at Regions will design, optimize, and develop data pipelines and machine learning models. Responsibilities include building data structures, managing big data environments, and collaborating on data initiatives to ensure optimal data delivery architecture.

As a Python Data Engineer at Admios, you will build and maintain data ingestion and streaming infrastructure, develop ETL pipelines for data sourcing from APIs and datasets, and collaborate with global engineering teams.

The Data Engineer will architect and implement advanced analytics solutions, manage data pipelines, optimize data models for Snowflake, and support data synchronization between Oracle databases and Snowflake. Strong skills in Python, SQL, and data integration tools like Kafka are required for developing and maintaining data processes while collaborating with the team for insightful reporting and documentation.

As an AWS Data Engineer, you will design, build, and maintain scalable data pipelines on AWS infrastructure, utilizing services like Amazon S3 and AWS Glue. You will develop data processing workflows with Databricks and Apache Spark, and automate pipeline execution with Apache Airflow, while collaborating with various teams for data analytics initiatives.

As a Data Engineer III, you will transform and integrate data, design data models, develop solutions, and ensure data quality while implementing effective governance practices. You will work closely with stakeholders to translate business needs into technical projects and develop scalable data solutions and pipelines.

As a Senior Data Engineer, you will lead engineering projects, deliver technical solutions, mentor team members, and ensure the effective evaluation of ongoing programs. Your role will include building scalable data solutions and maintaining high standards in code quality and system performance.