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Highly Skilled Cloud Data Engineer

1 maand geleden

Amsterdam, Noord-Holland, Nederland Varrlyn Voltijd

We are seeking a Highly Skilled Cloud Data Engineer to join our team at Varrlyn. The ideal candidate will have extensive experience in designing, developing, and maintaining large-scale data processing systems on the Azure cloud platform.

About Us

Varrlyn is a leading financial services company that is passionate about driving innovation and change in the industry. Our team is comprised of talented professionals who are committed to delivering exceptional results and making a meaningful impact.

Job Description

The High-Level Overview of this position is below:

  • Design and Develop - Design, develop, and maintain large-scale data processing systems on the Azure cloud platform.
  • Security Automation - Design and build robust security automations and solutions to ensure the integrity and confidentiality of our data.
  • Azure Cloud Expertise - Expand your knowledge across the Azure Cloud technology stack, focusing on data services.
  • Collaboration - Collaborate with cross-functional teams to drive business outcomes and deliver high-quality results.
Requirements

To be successful in this role, you will need to possess the following qualifications:

  • Agile Experience - Minimum 5 years of experience within a similar role with Agile methodologies (Scrum & Kanban) in Financial Services.
  • Azure Knowledge - Deep understanding of Azure technologies and design patterns, including Databricks, ETL, Event Hub, Azure Sql and Azure Monitor.
  • Certifications - At least 2 Azure certifications (e.g., Solutions Architect, Azure Administrator, DevOps Engineer, Azure Security Technologies).
  • Programming Skills - Proficiency in Bash and/or PowerShell.
  • DevOps Practices - Experience with Azure DevOps, Git, and YAML pipelines.
  • CI/CD Proficiency - Expertise in Continuous Integration/Continuous Delivery configuration and maintenance.
Estimated Salary

€100,000 per year, based on the location in the Netherlands.