LawVu is the AI-native operating system for in-house legal - the foundational layer that powers the entire legal function. Our intelligent platform connects legal intake, matters, contracts, spend, and reporting in one connected workspace, enabling legal teams to work smarter, move faster, and deliver measurable business value.

Trusted by leading organizations including Discord, Employment Hero, Etsy, and many more, LawVu is helping legal teams transform from reactive service providers into strategic business partners.

Founded in New Zealand, LawVu is a fast-growing global software company with customers and employees across North America, Europe, Australia, and New Zealand. Backed by leading venture capital firms, including Insight Partners and Airtree Ventures, we're creating a new category of LegalOS software purpose-built for modern in-house legal teams.

About the role

Are you ready to turn raw data into decisions that shape the future of legal tech? As a Senior Analytics Engineer, you'll own the full journey from a stakeholder's question to a trusted, production-ready data product — working across Databricks and Power BI to shape how data is modeled, governed, and delivered across our Legal OS platform.

What you’ll do

End-to-End Ownership

·       Take a request from a stakeholder conversation all the way through to a deployed, working data product.

·       Own the accuracy andreliability of the data products you ship, not just the initial build

·       Anticipate downstream impacts of your work and proactively flag risks or blockers before they become problems.

·       Follow through on maintenance and iteration — data products aren't "done" at launch, and you stay accountable for how they perform over time.

Design & Data Modeling

·       Think through the right data model and structure before building, not just after.

·       Build and shape data models across Databricks and Power BI to support reporting and analytics.

·       Design for reusability and scalability, so data products can extend to new use cases without significant rework.

·       Maintain clear documentation of data models, transformations, and lineage so others can understand and build on your work.

·       Consider performance implications of design choices, optimizing models and queries for both usability and efficiency

Stakeholder & Customer Engagement

·       Translate a Product ask or an internal business question into a clear, actionable spec.

·       Clearly articulate technical concepts to both technical and non-technical stakeholders.

·       Write data specifications and gather requirements directly with customers, product managers, and internal business users.

·       Translate technical concepts, risks, and technology recommendations for non-technical users, balancing business needs with technical reality.

Data Quality & Governance

·       Care as much about data accuracy and test coverage as about shipping fast.

·       Build and maintain automated data tests.

·       Apply data governance practices — classification, tagging, and maintaining a data dictionary.

Collaboration & Delivery

·       Partner with Product, Design and Engineering leadership on roadmap planning, backlog refinement, and estimates — resolving blockers and keeping delivery risk visible early.

·       Collaborate with Data Engineers and Software Engineers on upstream pipeline and platform work.

·       Work within an Agile environment, contributing to sprint planning and delivery.

Skills and Experience

·       5+ years experience in data and analytics

·       Strong exposure to Azure, Databricks and Power BI.

·       Solid understand of modern data lake architectures.

·       Advanced SQL, Python and experience with data modeling/transformation.

·       Experience with GitHub, including CI/CD pipelines and modern engineering workflows.  

·       Experience writing data specifications, gathering requirements, and collaborating directly with stakeholders (customers, product managers, internal business users) to build data products.

·       Building and maintaining automated data tests.

·       Experience with data governance practices such as classification, tagging, and maintaining a data dictionary.

·       Comfortable working in an Agile development environment, with a strong focus on iterative development and continuous improvement. 

·       A self-starter who takes initiative, anticipates challenges, and drives projects forward with minimal supervision.

·       Experience working on B2B SaaS products is ideal.

Reports to the Director of Engineering – Data

Location

The preferred location is Tauranga, Auckland, or Wellington, but other New Zealand locations will be considered for the right person.

What sets us apart:

• Monthly wellness allowance to use on whatever enables you to bring your whole self to work – gym membership, massage, childcare…the list goes on!

• Health insurance 

• Extended paid parental leave

• Extra paid day off on your birthday

• Share options so you can have a piece of the pie

• Home office allowance set up for remote employees

Why LawVu?

At LawVu we support many types of flexible working arrangements that allow you to balance your work, your life and your passions. We offer the opportunity to get onboard a growth company early and the opportunity to participate in LawVu’s success through our incentive scheme. LawVu has rapidly expanding offices and our work environment encourages continuous improvement and future career development. 

Our collaborative and inclusive culture is one we’re immensely proud of. We know that a diverse workforce is a strength that enables us to better understand and serve customers and innovate successfully. From the moment you join, you’ll feel welcome and supported to do the best work of your life.

Our team is only as strong as the culture it is built upon. Our core values are:

• Inspire and Delight: We go the extra mile to create experiences that inspire and delight our customers.

• Move Swiftly: We get things done quickly and efficiently.

• Dig Deeper: No challenge is too big. We embrace challenges, learn from mistakes, and share knowledge.

• Take Ownership: We take responsibility for our actions and their impact on the business.

• Back Yourself. Back Others: We support and respect each other, building a high level of trust.

• Bring Your Woo: We create a safe environment that fosters bringing your whole self to work.

We are constantly working towards making LawVu one of the best places to work, for everyone. LawVu is committed to providing equality of opportunity, valuing diversity and promoting a culture of inclusion. We will ensure this by fostering a workplace where people feel safe to be themselves, are able to do the best work of their lives and fulfil their potential. We believe by bringing together our diversity of thoughts and backgrounds, we will develop a world class product for the equally diverse customers we serve.

We make hiring decisions based on your experience, skills and passion. If you would like to apply and need reasonable adjustments or would like to note which pronouns you use at any point in the application or interview process, please let us know.