**Company Description**
Applus+ IDIADA is a global partner to the automotive industry, supporting its clients in their product development activities by providing design, engineering, testing and homologation services. We have a large team of more than 2,700 professionals drawn from over 22 countries, as well as an international network of subsidiaries and branch offices in 25 countries which ensures that our clients get customized, added-value solutions. IDIADA offers you the opportunity to develop a career in one of the worldwide leading automotive engineering companies.
At Applus IDIADA we are looking for talent to help us shaping the mobility of tomorrow with safer, more efficient and sustainable vehicles. With presence in 22 countries, we offer job positions around the world and internal / transversal mobility within the company. The automotive sector is currently living a moment of deep technological change. At IDIADA, we focus on constant innovation to adapt our services’ portfolio to an ever-changing environment. Therefore, as part of our team, we expect you to be dynamic and eager to learn and grow with us.
Digital Business team works to develop the most promising digital solutions for the integral 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.
It's 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.
If you're 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!
**Benefits**
- Chance to work in a dynamic and challenging environment where you will be able to reach your full potential.
- Constant learning and knowledge sharing with some of the most experienced engineers in the automotive industry.
- Career progression.
- Remote work.
- Shuttle bus from Barcelona and Tarragona and Internal car sharing app, to promote the sustainable transportation.
- We promote the training and constant learning and we offer paid specialized training and subsidized language courses.
- Subsidized canteen.
**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
- 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**
Applus IDIADA is committed to diversity and inclusion. We don’t put limits on you, so don’t put limits on yourself either. There is a place for everyone.