Data Engineer

Digital Business team works to develop the most promising digital solutions for the global products and process and to organize IDIADA information and provide a useful fast and reliable way to exploit it by IDIADA Group and our clients being recognized as the most digital innovative and customer-oriented company reducing the cost of the digital operations and increasing the value and the portfolio of the services.

What can we offer you
- Join a young dynamic and multicultural team of 80 Software Engineers.
- Collaborate with a highly passionate team committed to achieve high standards software
- Work in an agile environment with Scrum code review retrospective meetings and constant innovation
- Participate in the design implementation and validation of apps and tools for the automotive industry
- Be part of a large growing organization

Our current tech stack

• Python
• SQL and NoSQL databases (MongoDB)
• Vector databases (AWS OpenSearch Pinecone)
• Graph databases (Neo4j AWS Neptune)
• Big Data technologies
• AWS services (e.g. Redshift S3 DynamoDB)
• ETL tools

What are we are looking for

We are looking for a Data Engineer to join our Digital Solutions - DataLab team and help develop robust data infrastructure and pipelines. To succeed at this job you will need to design build and maintain scalable data systems create efficient ETL processes and ensure data quality and accessibility.

Its expected to have strong fundamentals in traditional relational databases as well as experience with modern database solutions including NoSQL vector databases and graph databases. You should be proficient in SQL and Python programming with experience in cloud-based data solutions preferably AWS. Knowledge of data modeling data governance and data security principles is crucial.

Data Engineers must be able to collaborate effectively with data scientists and analysts translating their requirements into efficient data architectures. This includes selecting and implementing the most appropriate database technology for different use cases whether its using vector databases for similarity search and machine learning applications graph databases for complex relationship modeling or NoSQL databases for handling unstructured data at scale.

Strong problem-solving skills and attention to detail are essential as youll be responsible for optimizing data retrieval ensuring data integrity and designing scalable solutions that can handle the diverse data needs of our automotive industry applications.

If youre passionate about building robust data infrastructure enjoy solving complex data challenges and have a keen interest in emerging database technologies this is the right job for you!

Qualifications :

Profile

• Demonstrated experience in Python programming and SQL
• 2 years of experience in data engineering projects
• Strong knowledge of database systems including relational NoSQL vector and graph databases
• Experience with big data technologies
• Demonstrated experience with OTEL and Logging for Tracing Observability and Controlling
• Proficiency in cloud-based data solutions preferably AWS
• Knowledge of data modeling and data governance principles
• Experience in designing and implementing ETL processes
• Familiarity with vector similarity search and graph data modeling is a plus

Education

• Degree in Computer Science Software Engineering Data Engineering or related field
• Specific certifications in cloud technologies or data engineering are an advantage

Languages

• Fluent in Spanish and English.

Additional Information :

WHAT ARE THE PHASES OF THE SELECTION PROCESS

Heres your roadmap:

1st: Submit your application and complete our screening questions.

2nd: Quick chat with HR.

3rd: Interview with the hiring team and complete English and attitudinal assessments.

4th: Receive your offer and begin your onboarding journey.

Lets start this adventure together!

Applus IDIADA is committed to equality  diversity and inclusion. We dont put limits on you so dont put limits on yourself either. There is a place for everyone.

Remote Work :

No

Employment Type :

Full-time