Senior Data Engineer

3 years

0 Lacs

Posted:7 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

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

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