Hybrid Data Engineer – AWS, ETL & Automotive Data

Applus+; Santa Oliva; Hybrid; EUR 52,000 - 78,000; Full time

Benefits offered by this job

Hybrid work model

Subsidized canteen

Free language courses

Transport

Coaching services

Job summary

Applus+ IDIADA is seeking a Data Engineer to join the Digital Solutions - DataLab team. You will design, build, and maintain scalable data infrastructure, implement ETL pipelines, and ensure data quality and accessibility for automotive industry applications.

You will collaborate with data scientists and analysts, work with relational, NoSQL, vector, and graph databases, and leverage cloud-based data solutions (AWS) to enable robust data solutions and governance.

Qualifications

• Demonstrated experience in Python programming and SQL
• 2+ years of experience in data engineering projects
• Strong knowledge of relational, NoSQL, vector, and graph databases
• Experience with big data technologies
• Experience with OTEL and Logging for tracing and observability
• Proficiency with 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

Responsibilities

• Design, build, and maintain scalable data systems
• Create efficient ETL processes and ensure data quality
• Collaborate with data scientists and analysts to translate requirements into data architectures
• Select and implement appropriate database technologies for use cases
• Optimize data retrieval and ensure data integrity
• Deliver robust data infrastructure for automotive industry applications

Skills

Python programming

SQL

2+ years data engineering

NoSQL databases

Vector databases

Graph databases

Big data technologies

OTEL & Logging

AWS

ETL processes

Data modeling

Data governance

Education

Degree in Computer Science or Software Engineering

Tools

MongoDB

Job description

Applus+ IDIADA is seeking a Data Engineer to join the Digital Solutions - DataLab team. You will design, build, and maintain scalable data infrastructure, implement ETL pipelines, and ensure data quality and accessibility for automotive industry applications.

You will collaborate with data scientists and analysts, work with relational, NoSQL, vector, and graph databases, and leverage cloud-based data solutions (AWS) to enable robust data solutions and governance.