Senior Analytics Engineer

Location: Auckland Work Type: Permanent | Hybrid (3 days WFH)Lead, Mentor, and Make an Impact with DataTalent's client is expanding their data capability and looking for a Senior Analytics Engineer to take the lead in shaping scalable, high-quality data models that power better decisions. This is a newly created role designed for someone ready to step up - leading projects, mentoring intermediate engineers, and ensuring best-practice data engineering across the business. You'll be joining a high-performing, collaborative team that's invested heavily in modern cloud data platforms and ready to take things to the next level.What you'll doLead end-to-end delivery of analytics engineering projects.Mentor and guide intermediate team members.Design and build data models and pipelines that scale.Improve data architecture, quality, and performance.Partner with stakeholders to turn business goals into data solutions.Follow and improve engineering best practices.What you'll bring5+ years' experience in data or analytics engineering, BI, or data development.Strong coding skills in Python and SQL (PySpark experience a plus).Experience working in a cloud environment (AWS, Azure, or GCP).Hands-on experience with tools such as Databricks, dbt, Snowflake, or BigQuery.Strong grasp of data modelling (e.g. star schema, dimensional models).Understanding of CI/CD, testing, and clean code principles.Excellent communication and stakeholder management skills.You'll thrive here if you…Love collaborating and mentoring others.Bring an analytical and product-focused mindset.Enjoy solving complex problems and improving processes.Want to influence technical direction and make a measurable impact.Why apply?Hybrid working: 3 days WFH, office days Tuesday & Thursday.Be part of a talented team using cutting-edge cloud data tools.Work with a business that values growth, collaboration, and continuous learning.Ready to level up your analytics engineering career? Apply now to join a team where your ideas and technical leadership will shape the future of data. Desired Skills and Experience5+ years' experience in data or analytics engineering, BI development, or data warehousing.Strong coding skills in Python and SQL for data processing and transformation.Experience with cloud data platforms - AWS, Azure, or GCP.Hands-on experience with Databricks, dbt, Snowflake, or BigQuery (Databricks preferred).Proven ability in data modelling (star schema, dimensional models, analytical layers).Understanding of engineering best practices - CI/CD pipelines, automated testing, code reviews, documentation.Solid grounding in data architecture and pipeline optimisation.Strong stakeholder communication and the ability to translate business needs into technical solutions.Collaborative, mentoring mindset with experience supporting junior engineers.Comfortable working in agile teams and adapting to evolving priorities.