Data Engineer (Azure, Salesforce)

Data Engineer (Azure, Salesforce)

Posted 3 days ago by Som-3 Recruitment

£400 Per day
Inside
Remote
City of London, UK

Summary: The Data Engineer role focuses on developing scalable data pipelines and managing metadata and data quality solutions within Azure and Microsoft Purview environments for a central government project. The position is remote and classified as inside IR35, with a start date of January 8th. Candidates must have relevant experience and be able to accept the specified rate.

Key Responsibilities:

  • Data pipeline development - Azure Data Factory, Databricks, Synapse
  • Design, build, and maintain automated deployment pipelines - Salesforce
  • Develop and maintain metadata capture processes to support data cataloguing and lineage.
  • Implement and document data quality rules, retention policies, and data optimisation processes.
  • Support large-scale deployment and configuration of Microsoft Purview.
  • Metadata management, data lineage, and data quality frameworks.
  • Configure data lineage, glossary, and metadata structures to align with governance and compliance standards (UK GDPR, ISO 27001).
  • Assess current data platform performance
  • Conduct benchmarking (eg, latency, throughput, cost efficiency) and implement storage/DQ optimisations.

Key Skills:

  • Strong experience in data engineering within cloud environments, ideally Azure.
  • Solid understanding of metadata management, data lineage, and data quality frameworks.
  • Knowledge of data governance principles, including GDPR compliance and data retention policy design.
  • Strong experience in the Salesforce platform - with hands-on Salesforce platform experience to design, build, and maintain automated deployment pipelines that support the transition of solutions from prototype through testing and into production
  • Proficiency in data pipeline development (eg, Azure Data Factory, Databricks, Synapse, or similar).
  • Experience implementing and managing Microsoft Purview or equivalent data cataloguing tools.
  • Strong experience in SQL, Python, or PySpark for data manipulation and integration.
  • Proven ability to optimise performance and manage large data volumes efficiently.
  • Experience working in agile delivery environments with cross-functional data teams.

Salary (Rate): £400 per day

City: City of London

Country: UK

Working Arrangements: remote

IR35 Status: inside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Data Engineer

INSIDE IR35 - £400 per day - 8th Jan start

Remote

*please only apply if you are able to accept the rate and start date.*

Data Engineer needed for a central government project - remote, inside IR35. You will focus on implementing scalable data pipelines, metadata management, and data quality solutions within Azure and Microsoft Purview environments

Responsibilities

  • Data pipeline development - Azure Data Factory, Databricks, Synapse
  • Design, build, and maintain automated deployment pipelines - Salesforce
  • Develop and maintain metadata capture processes to support data cataloguing and lineage.
  • Implement and document data quality rules, retention policies, and data optimisation processes.
  • Support large-scale deployment and configuration of Microsoft Purview.
  • Metadata management, data lineage, and data quality frameworks.
  • Configure data lineage, glossary, and metadata structures to align with governance and compliance standards (UK GDPR, ISO 27001).
  • Assess current data platform performance
  • Conduct benchmarking (eg, latency, throughput, cost efficiency) and implement storage/DQ optimisations.

Your background

  • Strong experience in data engineering within cloud environments, ideally Azure.
  • Solid understanding of metadata management, data lineage, and data quality frameworks.
  • Knowledge of data governance principles, including GDPR compliance and data retention policy design.
  • Strong experience in the Salesforce platform - with hands-on Salesforce platform experience to design, build, and maintain automated deployment pipelines that support the transition of solutions from prototype through testing and into production
  • Proficiency in data pipeline development (eg, Azure Data Factory, Databricks, Synapse, or similar).
  • Experience implementing and managing Microsoft Purview or equivalent data cataloguing tools.
  • Strong experience in SQL, Python, or PySpark for data manipulation and integration.
  • Proven ability to optimise performance and manage large data volumes efficiently.
  • Experience working in agile delivery environments with cross-functional data teams.

INSIDE IR35 - £400 per day - 8th Jan start

Remote