Data Engineer

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Interested in joining us? Take a look at this opportunity 👇

We are seeking a skilled Data Engineer to join a German international client in the automotive sector. The ideal candidate will have a strong background in designing and implementing robust ETL pipelines, with a focus on Azure cloud technologies and big data processing frameworks.

Key Responsibilities

• Design, develop, and maintain ETL pipelines using Azure Data Factory to process data from multiple sources into Azure Data Lake and other destinations.
• Leverage Databricks and Spark environments for data transformation, processing, and analytics.

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• Collaborate with cross-functional teams to translate business requirements into data solutions.
• Maintain data catalogs and ensure accurate documentation within Databricks.
• Optimize and troubleshoot existing ETL workflows to improve performance and reliability.
• Stay current with Azure data engineering best practices.
• Participate actively in code reviews, documentation, and knowledge sharing.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or related field.
• Proven experience with Azure Data Factory, Databricks, Azure Data Lake, SQL, Python, Spark, and PySpark.
• Strong proficiency in SQL and Python for data manipulation and querying.
• Excellent problem-solving skills and keen attention to detail.
• Ability to work independently and collaboratively in a dynamic environment.
• Strong communication and interpersonal skills.

Preferred

• Certification in Azure Data Engineering or related field.
• Knowledge of data governance principles and best practices.
• Experience with DevOps CI/CD pipelines, especially GitHub workflows.
• Familiarity with the SPIRE working model is highly desirable.
• Experience in finance or other regulated industries is a plus.

Location: 100% Remote

Schedule: Flexible, with reduced hours on Fridays

Language: English (C1)

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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.