Data Engineer - C#

Job Title:

Location:

Experience:

Responsibilities:

• Design, build, and maintain robust

  ETL/ELT pipelines

  to process large-scale property data.
• Collaborate with UK-based data analysts and developers to ensure smooth, clean data flow into dashboards and reports.
• Develop and manage

  data lakes

  and

  data warehouses

  using

  Azure Synapse

  ,

  Data Factory

  , and

  Databricks

  .
• Write and maintain

  C# code

  for data orchestration, and contribute to shared repositories with best practices.
• Integrate various data sources through

  APIs

  , Dataverse, ODBC, and other connectors.
• Ensure data is well-modeled and optimized for

  Power BI

  performance and business intelligence use.
• Monitor data pipeline performance, troubleshoot issues, and recommend improvements.

Deliverables:

Data Pipeline Development:

• Design, build, and maintain robust

  ETL/ELT pipelines

  using

  Azure Data Factory

  ,

  Databricks

  , and in-house

  C# orchestration systems

  .
• Transform raw property datasets into structured, usable formats for reporting and analytics.
• Monitor data pipelines for performance, troubleshoot issues, and implement optimizations for scalability and reliability.

Data Architecture:

• Develop and manage

  data lakes

  and

  data warehouses

  using

  Azure Synapse Analytics

  and

  SQL

  .
• Ensure data models follow best practices for performance, security, and governance.
• Integrate diverse data sources, including

  APIs

  ,

  Dataverse

  , ODBC, and other connectors.

Collaboration & Coding:

• Write clean, maintainable

  C# code

  , contribute to shared repositories, and participate in code reviews.
• Collaborate with UK-based Data Analysts and BI teams to deliver accurate and timely insights.
• Prepare and shape data for

  Power BI dashboards

  and other business intelligence solutions.

Performance Reporting & Optimization:

• Track data flow, system performance, and storage costs to ensure efficiency.
• Recommend and implement improvements to data workflows and architecture.
• Support stakeholders with documentation and guidance on data processes.

Qualifications:

• Bachelor’s degree

  in Computer Science, Information Technology, Data Engineering, or a related field.

• 3–5+ years

  of hands-on experience in data engineering, backend development, or data orchestration.
• Strong programming skills in

  C#

  and advanced knowledge of

  SQL

  (complex queries & performance tuning).
• Proficiency with

  Git

  ,

  CI/CD pipelines

  , and collaborative development workflows.
• Experience integrating diverse data sources (APIs, ODBC, connectors).
• Bonus: Familiarity with

  Python

  ,

  Dataverse

  ,

  Power Platform

  , or experience in the

  property/real estate industry

  .
• Excellent analytical skills, problem-solving mindset, and strong communication skills.