Are you an experienced Data Engineer looking to make an impact? We're searching for a talented professional to help shape the future of data systems at a forward-thinking and flexible organization. If you're passionate about data architecture, cloud solutions, and building scalable systems, this could be the role for you!

Our client is a dynamic and innovative company with a clear mission: empowering people with tailored insurance solutions. Using cutting-edge technology and a customer-focused approach, they've built a reputation for delivering personalized, high-quality service.

As a Data Engineer, you'll play a crucial role in designing and maintaining cutting-edge data systems. Key duties include:

• Building custom data systems for collecting, processing, and provisioning data from various sources.
• Developing and managing Terraform modules for scalable, secure infrastructure.
• Collaborating with DevOps to integrate CI/CD pipelines.
• Assisting with integrating data solutions into existing workflows, including Airflow and DBT pipelines.
• Supporting stakeholders like data scientists and analysts to deliver high-impact data products.

We're seeking candidates with the following skills and experience:

Must-Haves:

• Strong Python skills (including OOP, asynchronous programming, and Docker).
• Advanced SQL knowledge for building complex queries and optimizing ETL/ELT pipelines.
• Practical experience with Terraform for Infrastructure as Code, especially on Azure.
• Deep understanding of structured and unstructured data, including streaming/batch data.

Nice-to-Haves:

• Familiarity with DBT, Airflow, Delta Tables, or Kafka.
• Experience with Azure Data Lake Storage or similar distributed systems.
• Knowledge of machine learning and AI-related data applications.