Hybrid Data Engineer – Automotive Digital Solutions

Applus+ IDIADA; Tarragona; Hybrid; EUR 42,000 - 66,000; Full time

Benefits offered by this job

Flexible hybrid work model

Subsidized canteen

Free language courses

Transport assistance

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 pipelines and data infrastructure for automotive projects.

You will collaborate with data scientists and analysts, implement ETL processes, and work with relational, NoSQL, vector, and graph databases in a cloud-based environment (preferably AWS). Fluent Spanish and English are required.

Qualifications

• Experience designing, building, and maintaining scalable data systems.
• Strong SQL and Python programming.
• Experience with relational, NoSQL, vector, and graph databases.
• Experience with cloud-based data solutions, preferably AWS.
• Knowledge of data modeling, governance, and security.
• Experience with ETL processes and data pipelines.
• Familiarity with OTEL and logging for observability.
• Spoken languages include Spanish and English.

Responsibilities

• Design, build, and maintain scalable data pipelines.
• Optimize data retrieval and ensure data quality.
• Collaborate with data scientists and analysts.
• Evaluate and implement appropriate database technologies.

Skills

Python

SQL

Relational databases

NoSQL databases

Vector databases

Graph databases

Big data technologies

Observability/OTEL

AWS cloud

Data modeling

Data governance

ETL processes

Education

Degree in Computer Science, Software Engineering, Data Engineering, or related field

Cloud/data engineering certifications

Tools

OpenTelemetry (OTEL)

Logging frameworks

AWS services

Job description

Applus+ IDIADA is seeking a Data Engineer to join the Digital Solutions - DataLab team. You will design, build, and maintain scalable data pipelines and data infrastructure for automotive projects.

You will collaborate with data scientists and analysts, implement ETL processes, and work with relational, NoSQL, vector, and graph databases in a cloud-based environment (preferably AWS). Fluent Spanish and English are required.