Data Engineer with Expertise in Azure Data Factory

Zug, Zug, Schweiz

Callista

Callista bietet Beratung und Engineering für anspruchsvolle Projekte in der Versicherungs-, Finanz-, Industrie- und Life Science-Branche. Wir sind ein inhabergeführtes Unternehmen mit Hauptsitz in Zug, wurden 2010 gegründet und operieren mit...

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Are you a skilled Data Engineer with a passion for building seamless data pipelines and driving innovation in cloud-based data environments? Do you excel at transforming raw data into valuable insights, leveraging tools like Azure Data Factory and Databricks? If you’re excited about creating scalable solutions and have a knack for integrating tools like Fivetran, we’d love to connect with you!


Join our dynamic talent community of top-tier data professionals where your expertise will be celebrated. We’re seeking a Data Engineer to design and implement modern data integration solutions that empower organizations to unlock the true value of their data.

Responsibilities:

  • Data Pipeline Development 
    Design, build, and maintain end-to-end data pipelines using Azure Data Factory, ensuring efficient and reliable data ingestion and transformation processes.  
  • Databricks Expertise
    Leverage Databricks to perform advanced data processing, enabling seamless integration with data lakes and warehouses while optimizing Spark-based workflows.
  • Scalable and Reliable Solutions
    Architect scalable, cloud-native solutions that meet modern data integration and transformation needs while maintaining data quality and governance standards.
  • CI/CD for Cloud Platforms
    You bring expertise in CI/CD pipelines with tools such as Azure DevOps or Gitlab, ensuring streamlined code deployment and system updates while maintaining robust security and compliance practices.
  • Cross-Team Collaboration
    Work closely with data analysts, scientists, and stakeholders to ensure the data architecture aligns with business objectives and analytical needs.

Requirements

What we Value:

  • The Basics
    • Bachelor’s degree in Computer Science, Data Engineering, or a related field
    • 5+ years of experience in data engineering or related roles
    • Hands-on experience with Azure Data Factory and Databricks
    • Familiarity with Fivetran is a plus
    • Familiary with PowerBI is a plus
    • Proficiency in English (German is a bonus)
  • Innovative Problem-Solving
    You enjoy tackling complex data challenges and devising efficient solutions that deliver real value.
  • Adaptability and Curiosity
    You stay up-to-date with the latest tools, technologies, and best practices in cloud-based data engineering.
  • Detail-Oriented and Quality-Focused
    You have a sharp eye for detail and are committed to maintaining high standards for data quality and integrity.
  • Team-Oriented Mindset
    You thrive in collaborative environments, encouraging diverse perspectives, and fostering a culture of innovation and shared success.


If this sounds like your dream role, we want to hear from you! Join our community of elite data professionals and take the first step toward your next exciting career chapter.


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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture Azure CI/CD Computer Science Databricks Data pipelines Data quality DevOps Engineering Excel FiveTran GitLab Pipelines Power BI Security Spark

Perks/benefits: Career development

Region: Europe
Country: Switzerland

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