Job Description At Vector, were reshaping how energy is delivered by leveraging data and technology to reimagine Aucklands critical infrastructure. This isnt just a job; its an opportunity to be part of a transformation that impacts how people live and move in an increasingly connected world. Through our Symphony Strategy, were building scalable data, AI and machine learning solutions in partnership with global leaders like AWS and Google X, developing smarter, more adaptive energy systems to meet the demands of a rapidly changing environment.

About the Role Were seeking a Senior Data & AI Engineer to unlock the full potential of our data and AI capabilities. In this hands-on, technically focused role, youll design and support robust data pipelines and operationalise AI and machine learning models that drive real-world outcomes. Working within a collaborative engineering team, youll deliver solutions that enhance customer experiences and support a data-informed business.

Reporting to the Data and AI Engineering Lead, youll focus on building scalable data pipeline developments, AI-enabled solutions, and ML model deployments, all while ensuring strong governance and security practices. This role is ideal for someone who thrives on complex challenges, is motivated by meaningful work, and wants to contribute to building a more intelligent, sustainable energy future. About You Youre a skilled engineer with a solid foundation in data and AI, paired with a collaborative mindset and a passion for creating impactful solutions.

Youre confident working across both business and technical teams and can navigate change in a fast-evolving environment. Above all, you care about quality, innovation, and using technology to create meaningful outcomes. Qualifications & Experience 5 years in data engineering, machine learning, or a related field, with a relevant degree Strong experience with Snowflake and cloud platforms such as AWS or Azure Skilled in SQL and Python, with experience in ETL/ELT development and transformation tools (e.

g., Coalesce) Solid understanding of data governance, quality, security, and dimensional modelling (e.g.

, Kimball) Familiarity with CI/CD practices, version control (e.g., GitHub), and modern development workflows Experience in machine learning engineering, including model deployment and/or MLOps.

Experience integrating Large Language Models (LLMs) in data-driven solutions. Experience developing with AI tools stack such as Streamlit, retrieval-augmented generation (RAG), AI agents, and vector databases. Why Vector? Whether its the opportunity to work on global challenges in collaboration with leading tech firms, to build a legacy for Auckland and New Zealand, or to contribute to an innovative and transformative sector, there are plenty of reasons to choose a career with Vector.

We also offer: A flexible and stimulating work environment, where youll work alongside smart, innovative people Hybrid work options, flexible hours, and the ab.