About this role
Valtech is seeking a Senior Data Engineer for a remote position based in Portugal, suited for an experienced professional looking to design modern cloud-based data platforms. This role involves building robust data solutions that support analytics, machine learning, and artificial intelligence systems across global projects.
Role Overview
Valtech is hiring a Senior Data Engineer to work remotely in Portugal. The professional will design, construct, and optimize cloud data platforms that power enterprise analytics and AI initiatives. This opportunity fits an individual with a strong technical background who also enjoys analyzing business problems and shaping requirements alongside cross-functional teams.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
About the Company
Valtech is an experience innovation company that partners with recognized global brands to deliver digital solutions. The organization prides itself on values centered around sharing, caring, and daring, while maintaining a workplace culture focused on creativity, diversity, and professional autonomy within a global framework.
How to Apply
Interested candidates should apply on the official company careers page.
Skills and tech stack
Questions candidates ask
Where is the Senior Data Engineer position located?
The role is offered as a remote position based in Portugal.
Do I need cloud experience in both AWS and Azure?
No, applicants only need deep expertise in one core track, either AWS with Databricks or Azure/Fabric with Databricks or native tooling.
What programming languages are required for the role?
The position requires strong programming skills in Python and SQL.
What technologies are used for data pipelines and lakehouse architectures?
The role involves working with Apache Spark, Delta Lake, and medallion layering patterns within cloud ecosystems.
How does this role interact with AI and machine learning teams?
The data engineer collaborates closely with data scientists and ML engineers to build pipelines for machine learning, causal modeling, and GenAI use cases like RAG and agent-based systems.
