# Data Engineer

•     Build scalable ETL/ELT pipelines with Azure Data Factory and Microsoft Fabric

•     Develop high-quality SQL transformations and modular DBT data models

•     Enable trusted, secure and production-ready data for analytics and reporting

We’re looking for a Data Engineer with strong hands-on experience across SQL, DBT, Azure Data Factory (ADF) and Microsoft Fabric. You’ll design and maintain reliable data pipelines, develop curated datasets, optimise performance, and implement data quality, governance and CI/CD practices to support reporting, analytics and downstream consumption.

**What you’ll do**

You’ll build and operate scalable data solutions across ingestion, transformation, orchestration and delivery, working with BI, analytics and product teams to turn business requirements into reliable data products.

•     Design and build scalable ETL/ELT pipelines using Azure Data Factory (ADF) and Fabric Data Factory.

•     Implement batch, incremental and CDC-based ingestion from diverse cloud and on-premises data sources.

•     Maintain robust orchestration with scheduling, dependency management, retries and monitoring.

•     Develop complex SQL transformations, stored procedures, views and analytical datasets.

•     Optimise SQL workloads using indexing, partitioning, statistics management and execution-plan tuning.

**Essential Experience**

•     Implement data validation, reconciliation checks and quality rules using SQL-driven logic.

•     Build modular, version-controlled DBT models across staging, intermediate and mart layers.

•     Implement DBT tests, documentation, macros and incremental models for scalable ELT processing.

•     Maintain lineage, quality checks and deployment workflows using DBT Cloud or DBT Core with CI/CD.

Azure & Microsoft Fabric Engineering

•     Develop and manage datasets and curated layers using Microsoft Fabric Lakehouse and Warehouse.

•     Implement Delta/Parquet-based data structures, schema evolution and medallion architecture patterns.

**What you’ll bring**

You’ll bring a focus on performance, reliability, security and maintainability across data platforms and pipelines.

•     Configure and optimise Fabric pipelines, Lakehouse tables, Warehouses and SQL endpoints.

**Performance, Quality & Monitoring**

•     Monitor SQL queries, DBT jobs, ADF pipelines and Fabric workloads; troubleshoot bottlenecks and maintain pipeline reliability.

•     Implement automated data-quality checks, SLA monitoring and alerting using Azure Monitor and Log Analytics.

•     Apply Azure and Fabric security standards, including RBAC, secrets management, RLS/OLS and workspace governance.

•     Maintain Git-based version control and deploy pipelines, DBT models and Fabric assets through Azure DevOps or GitHub Actions.

**Collaboration & Delivery**

•     Work with BI, analytics and product teams to translate business requirements into scalable data solutions.

•     Provide clean, well-modelled datasets for reporting, analytics and downstream consumption.

•     Document pipelines, models, dependencies and troubleshooting guidelines to support ongoing operations.

**Role Scope Keywords**

•     ADF, Microsoft Fabric, Fabric Data Factory, Lakehouse, Warehouse, Power BI semantic models, DAX, Power Query (M), DBT, SQL performance tuning, incremental loads, CI/CD, Azure DevOps, GitHub Actions, governance, RLS/OLS and monitoring.

**About Fusion5 India**

Fusion5 India is our Global Capability Centre (GCC), based in Bengaluru. It works as one with colleagues across Australia and New Zealand to deliver managed services, applications, data and integration solutions to customers.

Fusion5 is a transformation partner helping organisations across Australia and New Zealand unlock value from business applications, AI, cloud, data, integration and managed services.

To apply for this role, please send your resume and cover letter to our Talent Acquisition team, recruitment@fusion5.co.nz.