Younity
Senior Data Engineer - Databricks / Azure
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
Auckland, New Zealand
Work mode:
Hybrid
Published on:
8 September 2026
What they need
Join a well-known NZ organisation investing heavily in its digital and data capability. We’re looking for an experienced Senior Data Engineer to help design, build and optimise a modern cloud-based data platform, with a strong focus on Databricks, Azure and scalable data engineering.
This is a hands-on senior role suited to someone who enjoys solving complex data problems, building robust pipelines and working across both batch and real-time data environments.
What you'll be doing
- Designing and building scalable data pipelines using Databricks and Azure Data Factory
- Developing data workflows using Python, PySpark and SQL
- Building and optimising ETL/ELT pipelines across cloud and on-premise data sources
- Working with Delta Lake, CDC and lakehouse architecture
- Developing batch and real-time data processing solutions
- Working with technologies such as Spark Structured Streaming, Event Hubs and Kafka
- Optimising Spark workloads, Databricks jobs and data storage patterns
- Designing data models for analytical and operational use cases
- Improving data quality, monitoring, governance and reliability
- Supporting CI/CD, code reviews and engineering best practice
- Mentoring other engineers and contributing to technical standards
What we're looking for
- 5+ years' experience in Data Engineering
- At least 2 years' strong hands-on Databricks experience
- Strong Python, PySpark and SQL capability
- Solid experience with Azure Data Factory
- Strong understanding of Apache Spark and Delta Lake
- Experience working with Azure Data Lake and broader Azure data services
- Experience building production-grade batch and/or streaming pipelines
- Good understanding of data modelling, data warehousing and lakehouse concepts
- Experience with Git, CI/CD and modern engineering practices
- Strong troubleshooting, performance optimisation and problem-solving skills
Experience with Unity Catalog, Kafka/Event Hubs, Docker, Infrastructure as Code, MLOps or data governance would be advantageous.
This is a great opportunity for a senior engineer who wants to work on a modern data platform in a highly visible environment where data plays an important role in the organisation's digital strategy.
Apply now or get in touch with Caitlin on 0212241361 for a confidential discussion.
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