Lead Data Engineer (Contract) - ADF, Databricks & SparkSQL

Response Informatics; Salford; On-site; GBP 45,000 - 70,000; Part time

Job summary

A leading IT consulting firm in Salford is seeking a Data Engineer to design and develop metadata-driven data pipelines using Azure Data Factory and Databricks. The ideal candidate will have expertise in optimizing data workflows with SparkSQL and Pandas, and experience with CI/CD for deployments. This role involves collaborating with cross-functional teams and ensuring data quality and governance. The position is contract-based and requires proficiency in Python or Scala.

Qualifications

• Expertise in building and orchestrating data pipelines using Azure Data Factory.
• Hands-on experience with Databricks notebooks and clusters.
• Advanced data manipulation skills using Pandas.
• Strong knowledge of distributed data processing with SparkSQL.
• Experience with CI/CD processes and tools like Azure DevOps.

Responsibilities

• Design, develop, and maintain metadata-driven data pipelines.
• Build and implement metadata frameworks, ensuring scalability.
• Optimize data workflows using SparkSQL and Pandas.
• Collaborate with teams to integrate data solutions into architecture.
• Implement CI/CD pipelines for automated deployment and testing.
• Ensure data quality and compliance with standards.
• Provide technical leadership and ownership of projects.

Skills

Azure Data Factory

Databricks

Pandas

SparkSQL

CI/CD with Azure DevOps

Metadata-driven architecture

Python

Scala

Job description

A leading IT consulting firm in Salford is seeking a Data Engineer to design and develop metadata-driven data pipelines using Azure Data Factory and Databricks. The ideal candidate will have expertise in optimizing data workflows with SparkSQL and Pandas, and experience with CI/CD for deployments. This role involves collaborating with cross-functional teams and ensuring data quality and governance. The position is contract-based and requires proficiency in Python or Scala.