Job Summary
3-month onsite Data Engineer contract in Christchurch, supporting a modern BI platform build. You’ll own ingestion through to modelled DataMarts and a Copilot-ready Power BI semantic layer, working across Snowflake, Microsoft Fabric/OneLake, Azure Data Factory and Coalesce. Strong SQL, dimensional modelling, and performance/security focus required, with Python/Streamlit experience helpful for lightweight data apps.
Deliverables / purpose
You’ll help build and scale a BI data platform, owning data pipelines end-to-end from ingestion and modelling through to trusted DataMarts and Copilot-ready semantic models. You’ll partner with analysts and BI stakeholders to uplift data quality, performance, security, and documentation.
Why you would like it
* 3-month onsite contract in Christchurch, supporting a modern BI/data platform build
* Hands-on engineering across ingestion, ELT, modelling, and the analytics layer
* Work with Snowflake, Microsoft Fabric/OneLake, Coalesce, Azure Data Factory and Power BI
* Clear, outcome-focused deliverables across the first 90 days
The skills and experience we need you to bring
* Strong Snowflake experience (SQL, performance tuning, warehouse management, cost/performance optimisation)
* Azure Data Factory pipeline build/monitoring experience (datasets, linked services, triggers)
* Coalesce ELT development (modular patterns, environment promotion, version control, catalogue use)
* Solid dimensional modelling (star schemas, SCDs, conformed dimensions)
* Power BI dataset/semantic model experience (DAX fundamentals; ideally Copilot-optimised models)
* Working knowledge of Microsoft Fabric/OneLake concepts and integration patterns
* Python and Streamlit for lightweight data apps (plus basic Pandas / Snowflake connectors)
* Comfortable with Git and CI/CD-style approaches for data assets
* Security mindset (e.g., RBAC in Snowflake, secrets management)
What success looks like (first 90 days)
* 30 days: Contribute to incremental ingestion, understand Coalesce/ADF flows, document lineage
* 60 days: Deliver a modelled DataMart with data quality checks and performance tuning
* 90 days: Ship a Copilot-ready semantic model in Power BI, plus runbooks/standards
Keen to help deliver a reliable, BI-ready data platform onsite in Christchurch? Apply with your CV or email ***@potentia.co.nz
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