Data & AI Solutions Lead

  • New Zealand
  • Auckland
  • Permanent
  • Strong benefits package on offer

Our client is a leading financial services organisation with a strong reputation with a serious commitment to using data and AI safely, commercially and at scale.

This is not a theoretical AI role. It is a hands-on opportunity to work directly with portfolio managers, analysts and key business owners to identify high-value problems, build practical AI and data solutions, and embed them into the way key decisions are researched, monitored and made.

Our client is looking for someone who can spot opportunity, cut through noise, build fast, and apply sound judgement on when AI is the right answer, and when it is not.

You will sit close to the Investment team day to day, while staying connected to the wider Data, Insights & AI function. That means you get the best of both worlds: direct exposure to a high-performing business domain, and the backing of enterprise data, governance and technology foundations already in place.

What You’ll Be Doing

  • Working directly with portfolio managers, analysts and the wider business to identify high-value AI and data opportunities
  • Designing, prototyping and building AI tools, agents, automations and analytical solutions
  • Embedding solutions into real investment workflows so they are adopted, not just demonstrated
  • Creating reusable prompts, agents, tools and patterns that can scale across teams
  • Coaching non-technical users to use sanctioned AI tools confidently and safely
  • Working with enterprise technology, data, architecture, security and governance teams to make solutions secure, reliable and production-ready
  • Applying honest judgement on whether the right solution is AI, better data, process improvement, or no build at all

Required Skills

  • Strong hands-on Python experience, with practical experience integrating APIs, data and modern AI or LLM tooling into working solutions
  • Experience designing and delivering technology, data or AI solutions that solve real business problems and are adopted by end users
  • Good understanding of modern AI tooling, including LLMs, prompt engineering, RAG, agents or AI-assisted workflows
  • Comfortable working with structured and unstructured data in a governed cloud data environment, ideally Databricks, Azure or similar
  • Sound engineering discipline across version control, testing, documentation, reliability and safe production practices
  • Proven ability to take ambiguous ideas from discovery through to deployed, usable solutions
  • Strong stakeholder skills, especially with non-technical users in complex or high-trust environments
  • The judgement to know when AI is not the answer, and the discipline to build for reuse, reliability and safe use
  • Strong exposure to the financial services sector, or heavily regulated environments.

Why This Role?
This is frontier work with real commercial impact.

You will not be buried in a central function building tools at arm’s length. You will be close to the people using what you build, with the autonomy to shape solutions and the credibility of an enterprise function behind you.

This role will suit someone who likes to ship, enjoys complex domains, and can earn trust with smart, demanding stakeholders. You will need to be commercially pragmatic, technically credible, and comfortable challenging assumptions when the answer is not obvious.

For a confidential chat, apply to JP Browne.

Apply now

Submit your details and attach your resume below. Hint: make sure all relevant experience is included in your CV and keep your message to the hiring team short and sweet - 2000 characters or less is perfect.

Senior Data Engineer // Australian Citizen - Defence Cleared

  • Australia
  • Adelaide
  • Permanent
  • Competitive Package

About Our Client

Our client is a globally recognised digital consulting organisation that partners with leading businesses to accelerate transformation through technology, data and innovation. With a strong international presence and expertise across AI, cloud, digital engineering, cybersecurity and data, they deliver cutting-edge solutions that solve complex business challenges and create lasting value.

Their Data Engineering practice works with enterprise clients to design and deliver scalable, cloud-based data platforms that enable advanced analytics, AI adoption and data-driven decision making. Combining deep consulting expertise with global delivery capability, they offer the opportunity to work on high-impact projects across a range of industries.

With strategic partnerships across leading cloud and technology providers including Microsoft, AWS, Databricks, Salesforce and ServiceNow, our client invests heavily in innovation, continuous learning and professional development, providing consultants with access to the latest technologies and exciting career opportunities.

The Opportunity

Our client is seeking an experienced Senior Data Engineer (Must have a Baseline OR NV1 AGSVA Defence Clearance) to join their Adelaide consulting team. This is an excellent opportunity to work with modern cloud technologies, solve complex data challenges, and deliver innovative solutions for enterprise clients.

Key Responsibilities

  • Design and build scalable data pipelines using Azure, Microsoft Fabric and Databricks.
  • Develop and optimise ETL/ELT processes using Python and SQL.
  • Work with large, complex datasets while improving performance and scalability.
  • Collaborate with clients and cross-functional teams to deliver business-focused data solutions.
  • Provide technical leadership, mentor junior engineers and promote engineering best practices.
  • Translate business requirements into scalable technical solutions.

About You

You’ll bring at least 5 years’ experience in Data Engineering, along with a strong consulting background and the ability to engage confidently with stakeholders. You’ll also have:

  • Experience with Azure, Databricks and Microsoft Fabric.
  • Strong Python and SQL development skills.
  • Expertise in ETL/ELT processes and cloud-based data platforms.
  • Knowledge of data modelling, ingestion, integration and Medallion Architecture.
  • Excellent communication and problem-solving skills.
  • A client-focused consulting mindset.

Desirable Skills

  • Experience with AWS, GCP or Snowflake.
  • Power BI or Tableau experience.
  • Knowledge of DevOps practices within Data Engineering.
  • Relevant tertiary qualifications.
  • Previous consulting experience.
  • Current Police Clearance (or willingness to obtain one).
  • Baseline and/or NV1 Security Clearance.

What’s on Offer

  • Competitive salary package.
  • Ongoing training and professional development.
  • Annual learning allowance.
  • Career progression and mentoring opportunities.
  • Access to innovative technologies and enterprise-scale projects.
  • Employee wellbeing initiatives, recognition programs and corporate discounts.
  • A collaborative, inclusive culture with regular team and networking events.

Our client is committed to fostering a diverse and inclusive workplace where everyone is respected, supported and empowered. They welcome applications from people of all backgrounds and are proud to be an equal opportunity employer.

Apply now

Submit your details and attach your resume below. Hint: make sure all relevant experience is included in your CV and keep your message to the hiring team short and sweet - 2000 characters or less is perfect.