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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.