Cloud Data Engineer at Shift, focusing on building and operating data pipelines on Azure for Australian SMEs. Collaborating across teams to enhance data integration and quality.
About the role
- Data Engineer for GE HealthCare's AVS segment designing AI-powered data solutions and analytics. Collaborating on enterprise data strategy and driving automation within AVS.
Responsibilities
- Build an AI-Ready Data Foundation (40%) Design and implement curated, semantic data layers (dimensional models, business definitions), ensuring accuracy, traceability, and AI/ML readiness for BI and generative AI use cases
- Design scalable SQL-based pipelines to transform raw and enterprise data into analytics-ready assets
- Implement data quality frameworks, lineage, and governance, according to standards set by the central data office team
- Elevate Analytics & Self-Service (35%) Lead enterprise-grade Power BI semantic model design (Dataflows, composite models, aggregations) to enable low-latency, high-performance reporting for executives and analysts
- Integrate and extend enterprise semantic models with AVS-specific business logic and conformed dimensions, aligning definitions across the segment
- Define best practices for DAX, M, and workspace governance (deployment pipelines, refresh strategies) within team to advance BI maturity and self-service
- Partner with visualization analysts and business leaders to translate requirements into trusted, performant models and reusable domain data products
- Drive AI & Advanced Analytics Adoption (25%) Design AI-ready semantic layers and metadata that enable natural-language querying, conversational analytics, automated retrieval, and intelligent workflows
- Build and deploy AI solutions using enterprise-approved platforms
- Implement operational forecasting, anomaly detection, and segmentation
- Engage central AI/ IT for evaluation, architecture guidance and enterprise deployment of AI use cases that exceed approved platform capabilities
Requirements
- 8+ years in data architecture/engineering delivering dimensional models, curated marts, and production pipelines in cloud environments (e.g., AWS Redshift/S3/Glue, Microsoft Fabric/Azure, ADF or equivalent)
- Mastery of SQL, DAX, and Power Query (M); strong performance tuning and model optimization at scale
- Deep Power BI experience: semantic modeling, composite models, aggregations, dataflows, and Fabric integration
- Hands‑on with Copilot Studio, Fabric Data Agents, or AWS Bedrock
- Familiarity with Power Apps / Power Automate for end‑to‑end digital workflows
- Preferred Microsoft certifications: DP‑600 (Fabric Analytics Engineer), DP-700 (Fabric Data Engineer), PL‑300 (Power BI Data Analyst), AZ-900 (Azure AI), PL-400 (Power Platform Developer Associate)
- AI/ML integration: Python for data prep/modeling; designing data/semantics for NLQ, agentic systems, and platforms such as AWS Bedrock or Fabric ML
- Experience partnering with centralized AI and data teams to produce models and agentic solutions
- ERP/CRM data integration (e.g., Oracle EBS, Salesforce) and familiarity with enterprise data governance
Benefits
- medical
- dental
- vision
- paid time off
- a 401(k) plan with employee and company contribution opportunities
- life insurance
- disability insurance
- accident insurance
- tuition reimbursement
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