Principal Data Engineer

Principal Data Engineer

About the Role

We are looking for a Principal Data Engineer to design and drive enterprise-scale Data & Analytics solutions across Google Cloud Platform (GCP) and Azure.

You will work closely with senior client stakeholders, Business Consultants and Product Owners to design and implement scalable data and analytics solutions.

Key Technical Skills

GCP & Azure

• BigQuery
  
• Dataflow
  
• Pub/Sub
  
• Dataproc
  
• Cloud Composer
  
• Data Fusion
  
• Cloud Storage
  
• Azure Data Services
  
• Python
  
• SQL
  
• Spark
  
• Terraform
  
• CI/CD
  
• GitHub Actions
  
• Cloud Build
  

Data Architecture

• Data Modelling
  
• Data Mesh
  
• Data Fabric
  
• Data Products
  
• Data Contracts
  
• Data Quality
  
• Metadata Management
  
• Data Governance
  
• Data Observability
  
• Event-driven Architecture
  
• Kafka
  

AI / Emerging Technologies

• AI / GenAI concepts
  
• Vertex AI
  

Responsibilities

• Design and drive end-to-end Data & Analytics solution architecture
  
• Design conceptual, logical and physical data models
  
• Drive GCP and Azure environment design and setup
  
• Review solution architecture and technology selection
  
• Mentor engineering, analytics and business teams
  
• Advise on emerging cloud technologies
  
• Participate in pre-sales engagements and PoCs
  
• Contribute to technology strategy and thought leadership
  

Requirements

• Proven experience delivering multiple enterprise data and analytics solutions
  
• Hands-on GCP + Azure implementation experience
  
• Strong Python, SQL and Spark skills
  
• Strong cloud data architecture background
  
• Excellent client-facing communication
  
• Ability to remain hands-on while providing technical leadership
  
• Notice period of 30 days or less
  

Only candidates with strong practical GCP + Azure experience should apply.