Data Engineer

About the role

Applus IDIADA, a global automotive engineering company, is looking for a Data Engineer to join its Digital Solutions - DataLab team. The role focuses on developing robust data infrastructure and pipelines, designing, building and maintaining scalable data systems, creating efficient ETL processes and ensuring data quality and accessibility.

Key responsibilities

• Design, build and maintain scalable data systems and efficient ETL processes
• Ensure data quality and accessibility
• Collaborate with data scientists and analysts, turning their requirements into efficient data architectures
• Select and implement the most appropriate database technology for each use case, such as vector databases for similarity search and machine learning, graph databases for complex relationships, and NoSQL databases for unstructured data at scale
• Optimize data retrieval and ensure data integrity

Required profile

• Demonstrated experience in Python programming and SQL
• 2+ years of experience in data engineering projects
• Degree in Computer Science, Software Engineering, Data Engineering or a related field
• Fluent Spanish and English
• Specific cloud or data engineering certifications are an advantage

Required skills

• Relational, NoSQL, vector and graph databases
• Big data technologies and cloud-based data solutions, preferably AWS
• ETL process design and implementation
• Data modeling, data governance and data security principles
• OTEL and logging for tracing, observability and control
• Familiarity with vector similarity search and graph data modeling is a plus

What we offer

• Hybrid work model
• A multicultural team of 80 software engineers in an agile environment with Scrum, code reviews and retrospectives
• Work on apps and tools for the automotive industry within a growing organization
• Benefits such as a subsidized canteen, free language courses, transport and coaching services