Digital Business team works to develop the most promising digital solutions for the general 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 softwareWork in an agile environment with Scrum, code review, retrospective meetings and constant innovationParticipate in the design, implementation and validation of apps and tools for the automotive industryBe part of a large growing organizationOur current tech stackPythonSQL and NoSQL databases (MongoDB)Vector databases (AWS OpenSearch, Pinecone)Graph databases (Neo4j, AWS Neptune)Big Data technologiesAWS services (e.g., Redshift, S3, DynamoDB)ETL toolsWhat are we 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.




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 it's 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 you'll 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 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 youProfileDemonstrated experience in Python programming and SQL2+ years of experience in data engineering projectsStrong knowledge of database systems, including relational, NoSQL, vector, and graph databasesExperience with big data technologiesDemonstrated experience with OTEL and Logging for Tracing, Observability and ControllingProficiency in cloud-based data solutions, preferably AWSKnowledge of data modeling and data governance principlesExperience in designing and implementing ETL processesFamiliarity with vector similarity search and graph data modeling is a plusEducationDegree in Computer Science, Software Engineering, Data Engineering, or related fieldSpecific certifications in cloud technologies or data engineering are an advantageLanguagesFluent in Spanish and English.
Applus IDIADA is committed to equality, diversity and inclusion . We don't put limits on you, so don't put limits on yourself either. There is a place for everyone.

📌 Data Engineer (Tarragona)
🏢 Applusidiada1
📍 Tarragona