Senior Data Engineer
3 days ago
We're here to help businesses thrive in an ever-changing online market through tried and tested
products, tailored solutions, and comprehensive data analytics that deliver real results.
The Role
Join our data team and play a crucial role in powering the next generation of property technology. You'll
design and build robust data pipelines that transform how estate agents and property professionals
make decisions, using both Microsoft's leading-edge data stack and our innovative in-house C#
solutions.
Working closely with our Data Analysts, you'll ensure clean, structured data flows seamlessly into Power BI
dashboards that drive business growth for thousands of property professionals worldwide.
What You'll Do
Build & Scale - Design ETL/ELT pipelines using Azure Data Factory, Databricks, and our custom C#
orchestration systems
Architect Solutions - Develop data lakes and warehouses with Azure Synapse and SQL, handling
massive property datasets
Code & Collaborate - Contribute C# code to shared repositories, participate in code reviews, and
follow best practices
Integrate Everything - Connect diverse data sources via APIs, Dataverse, and various connectors
Enable Analytics - Shape data for optimal Power BI performance and business intelligence
What You'll Bring
Essential
Strong C# skills with 3+ years backend development or data orchestration experience
SQL expertise including performance optimisation and complex queries
Azure experience with Data Factory and Databricks (or equivalent cloud platforms)
ETL/ELT knowledge with solid understanding of data modeling and transformation patterns
Development practices using Git, CI/CD, and collaborative workflows
Integration experience working with APIs, ODBC, and various data sources
Preferred
Secondary language proficiency in appropriate languages such as Python for advanced
transformations
Azure Synapse Analytics, Data Lake, or Fabric experience
Dataverse and Power Platform knowledge
Data governance and security practices
Property/real estate industry experience
Job Type: Full-time
Pay: ₹1,200, ₹2,000,000.00 per year
Work Location: In person
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