Data Engineer (Databricks specialist)

We're proud to be partnering with a respected leader in data management and analytics, delivering innovative solutions across diverse industries. With a tight-knit, multicultural team of 40+ experts, they have built a strong reputation in Data, Analytics, and AI space, bringing just the right amount of boldness and brilliance to complex data projects.

We are now hiring a Databricks specialist Data Engineer, reporting to the Director and working with a team 10+ Data Engineers, a Manager / Lead and 1 Cloud Engineer. Location : Auckland (Senior level) OR Wellington (Intermediate level)

• Intermediate : 100k to 120k
• Senior : 130k to 150k p.a. ; based on experience and background (flexible for the right fit, let’s talk)

Onsite role : 5days a week @ CBD office; highly flexible otherwise

Role: It is a proactive future-planning (new role) hire rather than a replacement. This is currently the main need in the business, as they are forecasting new DATABRICKS focused projects across their clients and currently, the existing team is very busy.

If located in Wellington, a more intermediate person could be mentored by a very senior Databricks specialist already in Wellington. In Auckland, the person may need to operate more autonomously, which could favor a more senior hire.

Development of Data Engineering Solutions

Maintaining and nurturing excellent ongoing client relationships.

Involved in continued development of internal data engineering team's capability (for a senior)

Documentation of industry best practice for Data Engineering & Analytics solutions.

Assist the sales team in selling data engineering solutions to customers whenever required.

Create Service Offerings and Solutions based on NZ market.

The company remains utilization-focused, with consultants expected to work primarily during normal business hours on billable client work.

Onsite role : 5days a week

You're likely the one if you: Solid experience with DATABRICKS projects as an Intermediate (for Wellington) OR Senior (for Auckland).

• Strong Databricks experience is the primary requirement. Experience on active Databricks projects/depth is preferred over certifications alone.
• SAP S/4HANA and SAP Datasphere experience are considered valuable.
• Client is primarily a Google Cloud (GCP) shop. AWS experience is also useful and common among clients. Microsoft technologies are lower priority compared to that.
• Consulting background (preferred, not mandatory).
• Worked in big / complex projects. (preferred, not mandatory).
• Have a stable work history (preferred)
• Good communications (all forms) given the role is client facing.
• Someone who is passionate about Data & Analytics and gets excited by new & interesting projects in Data, Analytics & AI.

Why you'll love it: Employees join because they want to focus deeply on data engineering rather than become generalists. The company specializes in movement of data and extracting value from it.

Cutting edge tech in DE, Analytics & AI across different clients. The company is actively working on AI-related initiatives, including data preparation for AI and agentic platforms. They already have early customers and that the AI projects undertaken so far have been successful because of the company's strong data expertise.

Flexible timings as per need.

Perks include Health Insurance and discounted health insurance for family members.

Flat Hierarchy

Easygoing reporting manager

Average vintage - 10yrs, one 28yrs, one 25yrs and few are more than 10yrs. Very stable.

Collaborate with some of NZ's top engineering minds.

Pls note: A valid NZ work visa is a pre-requisite for all our positions as of now. In case any client is willing to sponsor an outstation international candidate, we would mention that separately.

At Salt, our mission is Creating Futures by putting our clients, candidates, partners, and team members at the heart of everything we do. We extend our sincere appreciation to everyone who has contributed to our continued success.