Top Data Engineer Jobs in Lisbon

As a Data Engineer II at Viator, you will implement modern data pipelines for marketing data, monitor these pipelines for accuracy and performance, work with cross-functional teams to define data product requirements, and contribute to the design of optimized data solutions. You will ensure that data is captured and processed correctly, own documentation of data pipelines, and reconcile data issues across systems.

The Senior Data Engineer will design, build, and maintain data pipelines using PySpark and manage data in SQL-based big data columnar databases. The role involves working with GCP services, orchestrating data workflows with Airflow, and collaborating with analytics teams to ensure data reliability and accessibility.

As a Data Engineer in the Sales domain, you'll analyze and manipulate sales data to support decision-making. You'll work with various stakeholders, ensuring project efficiency while leveraging engineering skills in data acquisition and orchestration.

As a Data Engineer at Aircall, you'll design and implement real-time distributed data pipes for analytics and products, ensuring high reliability and low latency. You'll support teams with best practices, build a scalable serverless infrastructure, and contribute to ongoing data projects.

As a Data Engineer, you will work with business stakeholders to define problems that can be solved using data, assist in designing a cloud-based analytics platform, support data scientists and analysts, and adopt new technologies to improve efficiency and product delivery.

As a Middle Data Engineer, you will enhance online car markets by developing and maintaining data pipelines, working with AWS services and SQL, and collaborating with a senior engineering team to improve tools and drive initiatives.

As a Strong Middle Data Engineer, you will enhance online car markets and improve user experience. Responsibilities include simplifying existing tools, managing technical debt, proposing improvements, and collaborating closely with Senior Engineers and management.

As a Data Engineer, you will develop and maintain data ingestion adapters for blockchain networks, implement data ingestion strategies, optimize latency, and collaborate with upstream data sources. You will perform data quality checks and adapt to a dynamic remote work environment.

You will design, build, and maintain data-related infrastructure and systems to support our AI-powered sales platform, leveraging your expertise to allow efficient access and processing of information.

As an Azure Data Engineer, you will design and optimize data pipelines, develop ETLs using Azure Data Factory and Databricks, and enhance the Data Platform framework. You'll also focus on optimizing costs and operations for the Azure Data Platform.

As a Data Engineer at Veeva Systems, you will build data tools for global operations, enhance data quality, and automate processes. You'll collaborate cross-functionally to provide data solutions and contribute to improving tooling and standards in the Data Engineering community.

As a Data Engineer at Veeva, you will design, implement, and enhance data pipelines within the Veeva Link platform. Your role involves improving data processing features and working closely with the data science team to operate machine learning models. You will leverage your expertise in JVM-based languages or Python, focusing on Spark-based data environments and ensuring software quality following clean principles.

The Data Ops Engineer will support data operations by providing application support for tools like Azure Data Factory, Purview, Tableau, and Snowflake. Responsibilities include monitoring and troubleshooting tickets, ensuring data availability, conducting root cause analysis for technical issues, and facilitating smooth handovers between shifts while working across USA and UK time zones.

As a Senior Data Engineer at Kaizen Gaming, you will design and maintain scalable data pipelines and microservices to support AI applications. Your role will involve ensuring data integrity and managing data processing for Machine Learning models, collaborating with cross-functional teams to enhance product capabilities.

The Data Engineer will develop, maintain, and optimize data pipelines and workflows to support Machine Learning (ML) research. Responsibilities include implementing scalable data architectures, collaborating with researchers, working with databases, writing efficient code, and ensuring data integrity and performance.

The Senior Data Engineer will work with global teams to develop and maintain advanced reporting and data visualization capabilities. Responsibilities include translating business requirements, managing large-scale databases, performing data validations, and presenting data insights using tools like Tableau and PowerBI.

The Senior Data Developer will be responsible for mastering Oracle SQL and KSH development while also developing applications in Java (using Spring Boot and Spring Batch) and Python. The role involves working with CI/CD tools, cloud concepts, and ensuring data handling meets security protocols in a LINUX environment. Strong communication skills and proficiency in English and French are necessary, along with a robust understanding of agile methodologies and distributed architecture.