Top Data Engineer Jobs in Lisbon

As a Senior Clinical Data Science Programmer, you will design and implement data pipelines, ensuring data integrity and collaboration with various users in a fully remote environment.

The Data Engineer role focuses on programming, data integration, and working within cloud environments while ensuring team collaboration and professional development.

The Data Engineer will design, implement, maintain, and enhance data integrations, manage decision support systems, and document engineering implementations.

The Data Engineer will focus on data engineering best practices, data transformation using DBT, managing data pipelines, ensuring data governance, and maintaining data security within a remote team environment.

As a Mid Data Engineer, you will design data tools, automate processes, and collaborate with clients to enhance their data needs.

As a Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.

N-iX seeks a Data Engineer with MLOps experience to create scalable ML pipelines, deploy models, and contribute to best practices in data engineering and coding.

Design and maintain data pipelines in AWS, ensuring data integrity and availability. Collaborate with teams to meet data requirements and optimize infrastructure performance.

As a Data Engineer, you'll build and optimize data infrastructure, manage pipeline migrations, and implement data governance and monitoring tools that improve data quality and observability.

Design and implement data pipelines and solutions using Azure services, focusing on data modeling, transformation, and compliance in a collaborative environment.

The Senior Data Platform Engineer will develop and manage a large-scale data platform, oversee infrastructure performance, and mentor other team members.

Design and architect scalable backend services, develop robust governance systems, build SaaS solutions, and mentor junior engineers to enhance IoT platform capabilities.

As a Data Engineer, you'll analyze user data and product performance, create dashboards, and utilize SQL and Python to derive insights for business strategies.

As a Data Engineer, you'll design and maintain ETL pipelines, write TypeScript code, and collaborate with stakeholders to ensure data quality and performance.

You will gather and process data using various frameworks, monitor pipelines, design and manage data pipelines, and support stakeholders in tech decisions.

As a Data Engineer, you will gather and process various data types, monitor and improve data pipelines, and support clients in their data needs. Your role includes designing and managing data solutions across multiple industries, ensuring efficient data usage for intelligent products.

As a Data Engineer, you will design and manage data pipelines, process diverse data types, and support stakeholders in technology decisions. You'll also improve pipeline performance and work on innovative projects to create intelligent data products for clients.

The Junior Data Engineer will analyze data, design experiments, build a marketing data stack, and collaborate with teams to improve data access and insights.

As a Senior Data Engineer/Architect, you will shape Ferring's data architecture and pipelines, mentor the team, and ensure compliance with data standards.

Lead ingestion and configuration of clinical trial data using tools like CDB/Illuminate. Manage data imports/exports, JSON manifests, and data mappings. Support data configuration workflows, work with SDTM structures, and collaborate with Data Engineering and stakeholders to deliver independent projects.

The Data Engineer will create and manage automated data pipelines, optimize data architectures, and lead requirements gathering sessions, while mentoring junior engineers.

Landskill is seeking a Big Data Engineer with experience in big data tools and programming. Duties include data modeling, ETL, and integration, with a focus on personal and professional development.

Design, build, and maintain scalable data pipelines and architectures on GCP using BigQuery, dbt, and Airflow. Automate infrastructure with Terraform/CloudFormation, apply data modeling, collaborate with stakeholders, and ensure system performance and reliability.

Responsible for developing backend AI features, integrating machine learning models, building data pipelines, and maintaining AI services within a retail ecosystem.

Design and implement data pipelines, manage access controls in Snowflake, and ensure compliance through automation. Collaborate with cross-functional teams to optimize data workflows.