✨Capitole is celebrating 10 years!We are now more than 1,000 people building an environment where talent is nurtured, recognized, and empowered to grow.People First: trust, respect, and professional development.
Employee turnover rate of just 13%, well below the industry average.
Cutting-edge projects with global clients and modern technologies.
Tailored training programs: up to €1,200/year per employee.
True flexibility to work your way.
Monthly check-ins and annual 360º evaluations to support your growth.
Private health insurance, flexible compensation, and Wellhub for your overall wellbeing.
Active tech communities to learn and share knowledge.
Amazing team events (yes, we know how to have fun too ).Interested in joining us? Take a look at this opportunityWe are seeking a skilled Data Engineer to join aGerman 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 ResponsibilitiesDesign, develop, and maintain ETL pipelines usingAzure Data Factoryto process data from multiple sources intoAzure Data Lakeand other destinations.
LeverageDatabricksandSparkenvironments for data transformation, processing, and analytics.
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 engineeringbest practices .
Participate actively in code reviews, documentation, and knowledge sharing.RequirementsBachelor’s degree in Computer Science, Engineering, or related field.
Proven experience withAzure Data Factory, Databricks, Azure Data Lake, SQL, Python, Spark, and PySpark.
Strong proficiency inSQLandPythonfor 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.PreferredCertification 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)Want to know more? Click here ️ and find out!See what people say about us️♀️ Glassdoor ReviewsFeel free to send us your profile, we are excited to meet you!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.