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Deloitte New Zealand

Data Modeller – Consultant / Senior Consultant

Deloitte New Zealand is hiring a Data Modeller – Consultant / Senior Consultant in Auckland, New Zealand. Level rates it ; you can apply on Deloitte New Zealand.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Tools and skills the posting cites include Databricks and RAG.
  • Level classifies it as a senior role.
  • Level lists 95 other open roles at Deloitte New Zealand.
  • The role was posted within the past week.

AI in this role

databricks
rag

Join us. But be you. At Deloitte, you'll do more than just join something, you'll add something. You've found a place that values your curiosity, passion, and desire to work alongside brilliant people on the things that really matter. There really is only one question: What impact do YOU want to make?

We're looking for a Data Modeller to join our AI & Data team!

About the role and team

As a Data Modelling & Analysis Consultant, you will work with clients across government and industry to understand complex business problems and translate them into clear, high‑quality data models and insights. You will collaborate with multidisciplinary teams, contribute to the design of modern data and analytics solutions, and support the use of emerging technologies to improve decision‑making and outcomes.

This role is suited to professionals with a strong analytical mindset, solid modelling foundations, and an interest in applying new technologies such as AI and knowledge graphs within real‑world environments

Working alongside Data Engineers, Data Scientists, Architects and business stakeholders, you'll contribute to the delivery of modern AI and data solutions while continuing to grow your expertise across data modelling, information management and emerging technologies.

A week in the life of a Data Modeller might look like:

  • Analysing complex business challenges and conducting structured investigations to identify data, information and reporting needs.
  • Engaging with business stakeholders, clients, data engineers, architects and technical specialists to elicit, clarify and document requirements.
  • Translating business processes and real-world scenarios into well-defined data entities, attributes, relationships and information flows.
  • Designing, developing and reviewing conceptual, logical and physical data models that support analytics, reporting, AI and business transformation initiatives.
  • Creating clear and accurate data models, diagrams, mappings, definitions and technical artefacts to communicate data structures and design decisions.
  • Performing data analysis, profiling and discovery activities to identify opportunities, risks, data quality issues and improvement initiatives.
  • Supporting data architecture, data governance and information management practices to improve data quality, consistency, accessibility and usability.
  • Collaborating with Data Engineers, Data Scientists, Solution Architects and business stakeholders to deliver scalable end-to-end data and AI solutions.
  • Contributing to the design and implementation of modern data platforms, analytics capabilities and information management solutions.
  • Facilitating workshops, stakeholder engagement sessions and requirements gathering activities to drive alignment and outcomes.
  • Advising stakeholders on best practices in data modelling, data management, analytics and emerging data technologies.
  • Supporting proposal development, demonstrations and business development activities where required.
  • Staying current with emerging trends, tools and practices across data, analytics, AI and information management.

Enough about us - let's talk about you. You are someone with:

  • 3+ years' experience in consulting, professional services, technology, or data-focused roles.
  • Strong experience developing conceptual, logical and physical data models.
  • Excellent analytical, problem-solving and investigative skills.
  • Experience translating business requirements into structured data entities, relationships and models.
  • Strong stakeholder engagement and communication skills, with the ability to work across business and technical teams.
  • Proficiency with data modelling and diagramming tools such as Sparx Enterprise Architect, Lucidchart, Mermaid, Protégé or similar.
  • Experience using SQL and/or Python for data analysis, validation and investigation.
  • Understanding of data warehousing, dimensional modelling, data governance and modern data architecture principles.
  • Strong documentation skills and attention to detail.
  • An interest in emerging technologies, including AI and their application to data and analytics.
  • A passion for continuous learning and professional development.

Nice to have:

  • Experience with enterprise platforms such as SAP, Oracle or Salesforce.
  • Exposure to cloud data platforms such as Snowflake, Databricks, Azure, AWS or GCP.
  • Experience with Power BI, Tableau, Qlik or similar analytics tools.
  • Familiarity with Jira, Confluence or other delivery and collaboration tools.
  • Exposure to semantic modelling, knowledge graphs, ontologies, RAG, or graph-based solutions.

So, who is Deloitte in Aotearoa?  

We are driven to create an impact that matters at every opportunity. Supported by a strong leadership team and member firms from over 150 countries across the globe, Deloitte in Aotearoa is in the business of solving complex problems. Over our 175-year history, we have built a reputation for impactful delivery across all areas of our business. 

Deloitte in Aotearoa recognises the uniqueness of our country identified in our founding document, Te Tiriti o Waitangi.  We uphold our responsibility(s) to the founding document and acknowledge Māori as the Tangata Whenua/Indigenous people.  

Our shared values are at the heart of everything we do. Living these values, including ‘Manaaki/taking care of each other’ and ‘Hāpai tangata/fostering inclusion’, is essential to ensuring everyone feels included at work and able to reach their full potential. Our values drive our desire to create positive outcomes for our clients, communities, and people. 

Deloitte Talent Experience  

We hold a simple belief – that our people’s hard work should be recognised and rewarded beyond their remuneration. We have reimagined what ‘work’ looks like and how we can empower all our people to create a work experience that is distinct to their needs. Founded on concepts of trust, balance, wellbeing, and the importance of personal connection, this is the Deloitte experience.  

We offer:  

  •  Flexible work arrangements – work in a way that suits you, us and our clients best  
  •  Subsidised professional qualifications and paid professional memberships  
  •  Subsidised health insurance  
  •  Income protection insurance  
  •  22 days annual leave  
  •  Social events, social sports teams, and monthly firm drinks  
  •  A focus on wellness and well-being   
  •  Community focused volunteer days  
  •  A focus on the environment and sustainability  

We believe the strongest teams are made up of diverse individuals and we are proud to be an equal opportunities employer. We recognise that women and individuals from under-represented backgrounds may hesitate to apply if they don't meet all criteria. If you're passionate about this role and believe you have the skills, we encourage you to apply, even if your experience, ideal working hours or qualifications aren't a perfect match.

Please be aware of phishing attempts posing as Deloitte recruiters. Official communications from Deloitte New Zealand will come from “@deloitte.co.nz,” “@smartrecruiters.com,” or our video interview platform Deloitte<interviews@hirevue.com>. If you receive a suspicious email, verify its authenticity by contacting us at NZinfo@deloitte.co.nz.

How we rate this

Data Modeller – Consultant / Senior Consultant at Deloitte New Zealand rates 19 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGDatabricks

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. Walk me through how you've used Databricks in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: RAG and Databricks. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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