Top Data Engineer Jobs in Portugal

Lead development of a long-term enterprise data quality strategy for cloud environments. Build data inventories, implement profiling scripts, anomaly detection, field validation rules, lineage checks, and completeness scoring. Develop governance policies, stewardship standards, and access controls while coordinating with platform engineers, cybersecurity, and mission teams to maintain metadata and catalog traceability.

Lead design and delivery of scalable Data and AI solutions, mentor engineering teams, drive GenAI proof-of-concepts, align technical strategy with business goals, and influence cross-functional stakeholders.

Lead end-to-end Epic-to-Epic data migrations: discover, scope, extract, map, load, and validate legacy Epic data using Epic Bridges and InterSystems Ensemble. Coordinate cross-team efforts and solve complex data mapping challenges.

As a Software Engineer in Data Infrastructure at Speechify, you'll develop data ingestion pipelines, manage cloud infrastructure on GCP, and collaborate with scientists to enhance data quality for AI models.

The Software Engineer for Data Infrastructure & Acquisition will build data ingestion pipelines, manage cloud infrastructure, and collaborate with AI scientists to enhance data processing for Speechify's products.

Responsible for data collection to support model training operations, extending the cloud infrastructure, and collaboration for AI data strategies.

The Software Engineer will manage data collection and create datasets to support model training, utilizing cloud infrastructure and collaborating with AI scientists.

As a Software Engineer for Data Infrastructure, you will enhance data collection methods, manage cloud infrastructure, and collaborate on AI datasets to support model training.

The Software Engineer will handle data collection for AI model training at Speechify, manage ingestion pipelines on GCP, and collaborate on dataset strategies.

This role involves data collection and integration for AI model training, operating cloud infrastructure, and collaborating on dataset roadmap for next-generation products.

Responsible for data collection to support model training operations, building high-quality datasets, and managing the ingestion pipeline. Collaborate with AI team and scientists to enhance data quality and scalability.

The Software Engineer will focus on data collection for model training, manage cloud infrastructure, and collaborate on dataset roadmaps for AI initiatives.

This role focuses on data collection for model training, requiring expertise in cloud infrastructure, scripting, and collaboration with the AI team.

This role involves data collection for model training at Speechify, managing the cloud infrastructure for data ingestion, and collaborating on data strategies for AI products.

The Software Engineer will enhance data collection for AI, manage cloud infrastructure, and collaborate with scientists to improve datasets for Speechify's products.

The role involves managing data collection and processing for AI model training, enhancing data pipelines, and collaborating on data strategies.

As a Software Engineer on the Data team at Speechify, you'll enhance data collection processes, manage cloud infrastructure, and collaborate with scientists to optimize data for model training.

The Software Engineer will manage data collection and enhance the data ingestion pipeline on GCP, working closely with AI scientists to optimize data for model training.

As a Software Engineer on the Data team, you'll enhance data ingestion for AI training, manage cloud infrastructure, and collaborate with researchers.

The Software Engineer will manage data collection for model training, operate cloud infrastructure for ingestion pipelines, and collaborate with scientists on data strategies.

The Software Engineer will manage data collection, operate the cloud infrastructure on GCP, and collaborate with scientists to improve data processing for AI models.

The Software Engineer is responsible for data collection and ingestion pipeline management, collaborating with scientists and leadership to enhance data quality and scale for AI initiatives.

This role involves managing data collection for model training, extending cloud infrastructure, and collaborating on data strategies to enhance product output.

As a Software Engineer in Data Infrastructure, you will enhance data collection and manage ingestion pipelines to support AI model training, collaborating closely with scientists.

The Software Engineer will focus on data collection and managing the ingestion pipeline, collaborating with scientists to enhance model training with high-quality datasets.