Senior Data Engineer

Build the backbone of a modern data platform

Are you a hands-on Data Engineering leader who thrives on building scalable production-grade data platforms Do you enjoy owning solutions end-to-endfrom architecture to deploymentwhile mentoring others and shaping best practices

Were looking for a Senior Data Engineer to play a pivotal role in designing and scaling a next-generation data platform that powers analytics data science and business-critical insights.

This isnt just another pipeline-building role. Youll:

• Architect and own end-to-end data solutions
  
• Work on modern lakehouse/warehouse architectures
  
• Influence engineering standards governance and observability
  
• Mentor a growing team and shape the future of data engineering
  

• Design scalable secure and high-performance data platforms
  
• Define and enforce best practices across data modelling CI/CD and IaC
  
• Lead development of batch and real-time pipelines
  
• Drive standards for data quality governance and observability
  

• Build and optimize ETL/ELT pipelines and workflows
  
• Integrate data from APIs third-party systems and streaming platforms
  
• Manage orchestration scheduling and performance tuning
  
• Deliver curated datasets for analytics and BI use cases
  

• Ensure data reliability through validation reconciliation and testing
  
• Own production pipelines: monitoring alerting and incident resolution
  
• Implement observability by design (logs lineage metrics)
  
• Support automated deployments and post-release validation
  

• entor and guide data engineers across the team
  
• Collaborate with Data Scientists Analysts Product & Engineering teams
  
• Translate business needs into scalable technical solutions
  
• Contribute to hiring standards and continuous improvement
  

• 10 years in Data Engineering or similar
  
• Strong SQL expertise
  
• Experience with Microsoft Fabric Data Factory and Power BI
  
• Proven track record building scalable production-grade pipelines
  
• Solid understanding of data modelling and architecture patterns
  
• Experience with cloud platforms (AWS / Azure)
  
• Strong system design and problem-solving ability
  

• Experience with streaming technologies (Kafka Kinesis Pub/Sub)
  
• Infrastructure as Code experience
  
• Exposure to ML/data science pipelines
  
• Knowledge of data governance security and compliance
  
• Prior leadership or mentoring experience