Azure Databricks & Terraform Lead Engineer (Python)

Kyndryl

Noord-Holland

Hybrid

EUR 70,000 - 110,000

Full time

14 days+

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Job summary

Kyndryl is hiring an IT Platform Engineer to join the Data & Analytics Platform team for a major bank. You will design, build and run scalable data pipelines and services in Azure, focusing on reliability, security and performance.

You will collaborate with engineers, administrators and security experts to ensure the platform meets evolving needs while following best practices in scalability and fault tolerance. Hybrid work is supported.

Qualifications

  • Experience in developing data platforms in cloud environments.
  • Strong understanding of SOLID principles, design patterns and testing.
  • Hands-on knowledge of DevOps, CI/CD and data security best practices.
  • Familiarity with cloud services and infrastructure as code.

Responsibilities

  • Develop and deliver robust, secure, high-quality data solutions in a cloud environment.
  • Advocate and apply software engineering best practices and domain‑driven design.
  • Partner with Product Owners and IT stakeholders to align tech strategy with business goals.
  • Build and maintain scalable data platforms in Azure with the team.
  • Implement DevOps practices and CI/CD pipelines to accelerate delivery.
  • Ensure code quality through automated tests and Pytest‑based tests.
  • Mentor teammates and foster ownership, innovation and continuous improvement.

Skills

Python
SOLID principles
Design patterns
CI/CD
Cloud & data platforms
Azure
Databricks
Terraform
Unity Catalog
Testing with Pytest

Education

Bachelor's degree in Computer Science or equivalent

Tools

Terraform
Azure Databricks

Job description

Kyndryl is hiring an IT Platform Engineer to join the Data & Analytics Platform team for a major bank. You will design, build and run scalable data pipelines and services in Azure, focusing on reliability, security and performance.

You will collaborate with engineers, administrators and security experts to ensure the platform meets evolving needs while following best practices in scalability and fault tolerance. Hybrid work is supported.

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