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Applus IDIADA is seeking a Data Engineer to join the Digital Solutions - DataLab team in a hybrid Spain-based role. You will design, build and maintain scalable data pipelines, work with Python and SQL, and apply modern database technologies including NoSQL, vector and graph databases, and cloud solutions such as AWS.
Responsibilities include ETL development, data governance, and ensuring data quality and accessibility for data scientists and analysts.
Shaping the Future of Automotive Engineering
Applus+ IDIADA is a global leader in automotive engineering, offering a dynamic and rewarding career opportunity for professionals passionate about shaping the future of mobility. As a TOP Employer certified company with over 3400 professionals from more than 20 countries, we provide a diverse and inclusive work environment that fosters innovation and growth with colleagues from over 50 nationalities contributing to a safer, more efficient, and sustainable vehicles.
Enjoy a highly flexible hybrid work model in a company that takes care of the employees’ wellbeing, offering work-life balance benefits such as subsidized canteen, free language courses, transport and coaching services.
Join a company that has a deep commitment to sustainability and push yourself to reach your full potential in a dynamic and challenging setting that values innovation and expertise.
Come & join us on the road to success.
#LI-Hybrid
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?
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.
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 you!
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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.