The Instillery Group
Data Engineer
Data Engineer at a consultancy building cloud data platforms for New Zealand enterprise clients. Day to day: designing ETL/ELT pipelines on Azure lakehouse stacks (Databricks, Microsoft Fabric), building Medallion-architecture dimensional models, and applying DevOps practices with SQL, Python/PySpark, Git and CI/CD.
- Compensation
- Not disclosed
- Location
- Parnell, Auckland
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 5+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 5+ years hands-on experience building cloud-native data solutions, primarily across Azure services (ADLS2, Data Factory, Synapse)
- Deep proficiency in SQL, Python, PySpark, and Apache Spark
- Comfortable with Git version control workflows, automated CI/CD pipelines, and maintainable production-ready code
- Experience designing and optimising scalable ETL/ELT data pipelines on lakehouse architectures (Databricks, Microsoft Fabric)
- Implementing dimensional models using Medallion architecture (Bronze/Silver/Gold)
Nice to have
- Experience with dbt
- Experience with real-time/streaming architectures (Kafka, Event Hubs)
- Experience with data governance tools
Full description
We’re looking for a Data Engineer to join our team, building and scaling modern cloud data platforms for some of Aotearoa’s top enterprise clients. If you love clean code, smart architectures and turning raw data into high-value insights then you’ll fit right in.
What you’ll be doing
- Designing, developing, and optimising scalable data pipelines (ETL/ELT) using modern lakehouse architectures (Databricks, Microsoft Fabric).
- Implementing robust dimensional models using Medallion architecture (Bronze/Silver/Gold) to power advanced analytics and BI.
- Driving DevOps best practices, using Git, Azure DevOps, or GitHub Actions for seamless deployment, monitoring, and performance tuning.
- Partnering directly with stakeholders and clients to translate business problems into high-performing technical solutions.
What you’ll bring:
- Hands-on experience (5+ years) building cloud-native data solutions, primarily across Azure services (ADLS2, Data Factory, Synapse).
- Deep proficiency in SQL, Python, PySpark, and Apache Spark.
- Comfortable with version control workflows (Git), automated CI/CD pipelines, and writing maintainable, production-ready code.
- Experience with dbt, real-time/streaming architectures (Kafka, Event Hubs), or data governance tools.
What’s in it for you:
- Work with some of Aotearoa’s most forward thinking organisations on high-impact data projects.
- A collaborative, high energy environment where your skills will be valued and stretched
- Flexibility, trust and autonomy – no micromanaging, just good humans doing great work.
- Professional development, tech certs, and plenty of growth opportunities.
- A solid salary, wellbeing perks, your birthday off, and a team that actually celebrates the wins.