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Empowering people. Unlocking innovation.
With 1,000+ professionals and over a decade of experience, we’ve built an environment where talent is trusted, supported and continuously challenged to grow.
People-first culture built on trust and real proximity.
Stable environment with turnover clearly below industry average.
International, high-impact projects powered by modern tech stacks.
€1,200 annual training budget per employee.
Real flexibility, not just a promise.
Continuous feedback culture with monthly follow-ups and annual 360º reviews.
Private health insurance, flexible compensation and Wellhub.
Active tech communities where knowledge is shared and innovation evolves.
A team that delivers and celebrates together.
Ready to grow with us? Take a look at this opportunity
We are looking for a
Data Engineer
to join an international German client in the automotive sector. This role is ideal for someone with strong experience in
Azure-based data environments, hands-on expertise in
Spark, and a solid background working with distributed data processing and large-scale datasets.
Key Responsibilities
Design, develop, and maintain robust data pipelines using
Azure Data Factory
and related orchestration tools to ingest, transform, and process data from multiple sources into
Azure Data Lake
and other target systems.
Work with
Databricks
and
Spark
environments for distributed data processing, transformation, and analytics.
Collaborate with cross-functional teams to translate business and technical requirements into scalable data solutions.
Optimize and troubleshoot existing data workflows to improve performance, reliability, and scalability.
Contribute to data documentation, governance, and good engineering practices across the platform.
Stay up to date with Azure data engineering best practices and contribute to continuous improvement initiatives.
Participate actively in code reviews, documentation, and knowledge sharing within the team.
Requirements
Bachelor’s degree in Computer Science, Engineering, or a related field.
Proven experience working in
Azure-based data environments .
Strong hands-on experience with
Spark
in
distributed processing environments .
Experience working with
large volumes of data
and building scalable data solutions.
Solid experience with
Databricks ,
Azure Data Lake ,
SQL, and
Python .
Strong problem-solving skills and attention to detail.
Ability to work both independently and collaboratively in a dynamic environment.
Strong communication and interpersonal skills.
Nice to Have
Experience with
Scala, especially in
Spark-based environments .
Experience with
Azure Data Factory
or other orchestration tools.
Certification in
Azure Data Engineering
or a related area.
Knowledge of
Agile methodologies
and experience working in agile teams.
Experience with
CI/CD pipelines
and version control workflows, especially
GitHub .
Location:
100% Remote
Schedule:
40h/week. Flexible, with reduced hours on Fridays
Language:
English (C1), Spanish (B2)
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The employee will adhere to information security policies:
-Will have access to confidential information related to Capitole and the project they are working on.
-Must comply with the security policies and internal policies of the company and the client.
-Must sign an NDA.