Senior Data Engineer (Google cloud/AWS/SAP, Databricks)

Salt; New Zealand; Hybrid; NZD 120,000 - 150,000; Full time

Benefits offered by this job

Health Insurance

Job summary

Salt in Auckland seeks a Senior Data Engineer to drive Databricks-led projects for diverse clients. You’ll join a 18+ Data Engineers team, report to the Director, and work onsite with a flexible WFH day 1–2 after settling in.

Strong focus on data engineering, analytics, and AI solutions with a proactive, client-facing approach. Role emphasizes developing data pipelines, maintaining client relationships, and contributing to internal capability growth.

Qualifications

• Solid Databricks experience with active projects and depth.
• SAP S/4HANA and SAP Datasphere experience considered valuable.
• Consulting background preferred; strong client-facing communication.

Responsibilities

• Develop data engineering solutions for clients.
• Maintain and nurture client relationships.
• Contribute to internal capability development for the team.
• Document industry best practices for data engineering & analytics.
• Assist sales in presenting data engineering solutions.
• Create service offerings and NZ-market solutions.
• Work primarily on billable client work during normal business hours.

Skills

Databricks

Client-facing

Tools

Google Cloud

AWS

SAP

Databricks

Job description

Senior Data Engineer (Google cloud/AWS/SAP, Databricks)

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’ve 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 Senior Data Engineer, reporting to the Director and working with a team 18+ Data Engineers, a Manager / Lead and 1 Cloud Engineer.

Location : Auckland

Salary range – Senior : 120k to 150k p.a. ; based on experience and background (flexible for the right fit, let’s talk)

Onsite role : 5days a week @ CBD office; 1day WFH when settled in the role after few months, 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. Overall tech stack needed for their projects – Google cloud/AWS/SAP, Databricks.
• 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 , but 1 day WFH later once settled, also highly flexible.

You’re likely the one if you:

• Solid experience with DATABRICKS projects as an Intermediate (for Wellington) OR Senior (for Auckland).
• Tech Stack : Google cloud/AWS/SAP, Databricks
• 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.