COMPANY ENVIRONMENT Adaptiv is the leader in data and integration consulting and development in NZ, delivering innovative solutions to meet our clients needs through cloud-based services. We employ the best of the best in the industry which makes it easy to support our staff in gaining the skills necessary to become data and integration experts. No two days are the same, and while we provide complex solutions for some impressive clients, we know when to switch off and have fun.

With no office politics, an excellent company culture and a modern rooftop office (BBQ anyone?), this kind of opportunity does not come around often. POSITION SUMMARY The Azure Data Engineer position is a critical role as it provides data consulting across the Companys partner businesses (clients). The position is responsible for assisting with the design, implementation, review, and updates of the Companys IT solutions for clients.

This is a varied position with exposure to data technologies both on-premises and on Azure. This position will be required to work on multiple projects at any one time and balance workload accordingly. The role is required to use tools and techniques related to cloud development in a dynamic, constantly changing environment.

This position is highly responsive to the requests of clients with work priorities largely influenced by these stakeholders. SIGNIFICANT WORKING RELATIONSHIPS Internal Managing Director Support Team General Manager Executive Management Team Architecture Team Development Team Sales and Marketing Team Human Resources Team Finance Team Infrastructure Team Data Practice Lead External Clients Suppliers and Vendors POSITION RESPONSIBILITIES Data Engineering Deliver data solution architecture for clients (data lakes, cloud data warehouses, data enhancement via machine learning APIs) Be part of a team on larger scale deployment and deployments Lead in the development and implementations of the companys data engineering solutions on Azure Undertake hands-on development for client projects Provide guidance and demonstrate best practices when delivering solutions Understand and utilise modern data platforms (cloud or on-premises) Most of the work will be done using tools of the trade (Azure Data Factory) Knowledge in both SQL and Python required. Data Architecture Provide consultancy services to our customers Develop principles and policies for development of a data lake, cloud data warehouse (CDW), machine learning Continuous Integration and Infrastructure as Code Experienced in use of industry-leading CI/CD platforms such as Git, Azure DevOps Can design and implement full CI/CD pipelines for a data solution Integration Testing Build test driven practices utilising best of breed frameworks for unit and integration testing Test and UAT environment provisioning for clients Cloud Integration Create and design compelling architectural blueprints to deliver value to our clients Complete independent vendor evaluation Implement.