Senior Data Engineer
Summary
Senior Data Engineer at a NZ data management & analytics consultancy (40+ staff) delivering client projects. Day to day: build data engineering solutions on GCP, SAP BDC, Databricks, Snowflake and dbt, maintain client relationships, document best practice, and help grow the internal team. Client-facing, hybrid role in Auckland/Wellington, NZ$120k–150k.
Senior Data Engineer 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/Wellington. Salary range – Senior: 120k to 150k p.a.; based on experience and background (flexible for the right fit, let's talk). Hybrid role as per need, highly flexible. This 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 projects across their clients and currently, the existing team is very busy.
Overall tech stack needed for their projects – Google Cloud, SAP BDC, Databricks, Snowflake, DBT.
Responsibilities
- 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 utilisation-focused, with consultants expected to work primarily during normal business hours on billable client work
Candidate Profile
- Good experience with the following modern tech stack (at least a few of the below in order of preference): GCP (Google), SAP BDC, Databricks, DBT, Snowflake
- Good to have: Microsoft Fabric, AWS
- 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
- Passion for Data & Analytics and excitement for 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 specialises 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.
Hybrid & Flexible timings as per need. Perks include Health Insurance and discounted health insurance for family members.
Benefits
- Health Insurance
- Discounted health insurance for family members
Team
Flat hierarchy, easy-going 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.
Eligibility
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.