Azure Data Engineer (Spark / Databricks) | Automotive Sector, Toledo

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.

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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.