Data Engineer

Tarragona, CT, Spain

Actively hiring, first seen by us 1 day ago

Pay: Pay not listed
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting

Design, build and maintain scalable data systems
Create efficient ETL processes
Ensure data quality, integrity and accessibility
Translate data scientists' and analysts' requirements into data architectures
Select and implement the right database technology for each use case

From the employer’s posting

design, build, and maintain scalable data systems

create efficient ETL processes

ensure data quality and accessibility

translating their requirements into efficient data architectures

selecting and implementing the most appropriate database technology for different use cases

What you’ll bring

All qualifications

Core experience

Python and SQL programming
2+ years in data engineering projects
Knowledge of relational, NoSQL, vector and graph databases
Experience with big data technologies

Preferred experience

Familiarity with vector similarity search and graph data modeling is a plus

Qualification wording

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

Familiarity with vector similarity search and graph data modeling is a plus

Apply at Applus IDIADA

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Nov 2, 20261 day ago
Recorded sightings: 3
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 5 and day 54.

From 10,703 similar postings that came down. Coming down is not always a hire.

Applus IDIADA is hiring

1 open job

Open jobs by the week we first saw them, last 12 weeks.

Takes jobs down at a usual pace

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
AWS
DynamoDB
MongoDB
Neo4j
NoSQL
Redshift
S3

Where the posting names them

Our current tech stack - Python - SQL and NoSQL databases (MongoDB)

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.

Profile - Demonstrated experience in Python programming and SQL - 2+ years of experience in data engineering projects

- Python - SQL and NoSQL databases (MongoDB) - Vector databases (AWS OpenSearch, Pinecone)

- SQL and NoSQL databases (MongoDB) - Vector databases (AWS OpenSearch, Pinecone) - Graph databases (Neo4j, AWS Neptune)

- Vector databases (AWS OpenSearch, Pinecone) - Graph databases (Neo4j, AWS Neptune) - Big Data technologies

- Big Data technologies - AWS services (e.g., Redshift, S3, DynamoDB) - ETL tools

- 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

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.

- 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

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Job description

View original posting ↗

Job Description

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.

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!

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?

Here's 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.

Let's start this adventure together!

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.

Company Description

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.

Why join us?

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

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