Senior Data Engineer

**Tō kamupene hou | Your new company** Join a leading IT consultancy delivering production-grade solutions across modern data platforms. This is an opportunity for an experienced Senior Data Engineer who enjoys remaining hands-on while working directly with clients, architects, and delivery teams. You will design, build, deploy, and support scalable Databricks data pipelines within lakehouse environments. The role requires strong engineering discipline, independent delivery capability, and confidence engaging with both technical and business stakeholders **Tō tūranga hou | Your new role** You will be responsible for: * Designing and delivering production data pipelines using Databricks * Building solutions with Delta Live Tables, Databricks Asset Bundles, workflows, jobs, and notebooks * Working with Delta Lake and Medallion architecture across Bronze, Silver, and Gold layers * Developing scalable data transformations using PySpark or Python * Implementing structured CI/CD, source control, and multi-environment deployment practices * Taking ownership of pipelines from design and development through to production support * Troubleshooting production issues and improving reliability, performance, and data quality * Working directly with clients to clarify requirements, explain technical decisions, and communicate risks and trade-offs * Contributing to peer reviews, knowledge sharing, and the development of junior team members **Ngā uara me ngā pūkenga e angitu ai koe | What you'll need to succeed** To be successful, you will need: * Strong commercial, hands-on Databricks engineering experience * Production experience with Delta Live Tables and Unity Catalog * Experience deploying solutions using Databricks Asset Bundles * Practical experience with Delta Lake, lakehouse architecture, and Medallion design principles * Strong PySpark or Python data engineering capability * Experience using Git and delivering through CI/CD pipelines across multiple environments * Proven experience designing, deploying, and supporting data pipelines in production * The ability to explain the differences between Delta and Parquet, and between lakehouse and traditional data warehouse architectures * Experience working in a consulting, professional services, or similarly client-facing delivery environment * Clear communication skills and confidence contributing to workshops, technical discussions, and delivery updates * The ability to work independently, manage ambiguity, and deliver within established architectural guardrails **Location:** Wellington (ideal preference), Auckland/ Christchurch **\*\*\*Applicants must have a valid New Zealand work visa\*\*\*** **Me aha koe ināianei | What you need to do now** If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV to anuvarsha.arulbabu@hays.net.nz.