
Azure Data Engineer
Posted 2 weeks ago by Cognitive Group | Part of the Focus Cloud Group on Linkedin
Job Description: The Azure Data Engineer role involves designing, developing, and maintaining data pipelines using Azure Data Factory, with a focus on ensuring data quality and security. The position requires collaboration with cross-functional teams and demands expertise in various data engineering tools and technologies. The role is based in Warwick and requires SC clearance or the ability to obtain it. It is classified as inside IR35 and requires 3-4 days onsite work per week.
Key Responsibilities:
- Design, develop, and maintain data pipelines using Azure Data Factory (ADF)
- Debug and optimize data workflows and processes
- Collaborate with cross-functional teams to deliver robust data solutions
- Ensure data quality, integrity, and security across platforms
Skills Required:
- Expert-level proficiency in Azure Data Factory (ADF)
- Strong experience with Snowflake, Databricks, and Python
- Solid understanding of Azure cloud services and SQL
- Excellent debugging and problem-solving skills
- Strong communication and collaboration abilities
- 6 to 8 years of relevant experience in data engineering roles
Salary (Rate): undetermined
City: Warwick
Country: United Kingdom
Working Arrangements: on-site
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
Azure Data Engineer 6 Months - Inside IR35 3-4 days onsite - Warwick SC Cleared or SC Clearable
Key Responsibilities:
- Design, develop, and maintain data pipelines using Azure Data Factory (ADF)
- Debug and optimize data workflows and processes
- Collaborate with cross-functional teams to deliver robust data solutions
- Ensure data quality, integrity, and security across platforms
Essential Skills & Experience:
- Expert-level proficiency in Azure Data Factory (ADF)
- Strong experience with Snowflake , Databricks , and Python
- Solid understanding of Azure cloud services and SQL
- Excellent debugging and problem-solving skills
- Strong communication and collaboration abilities
- 6 to 8 years of relevant experience in data engineering roles
Negotiable
Warwick, England, United Kingdom
Inside
Onsite
IT
Not Specified
Job Description: The Azure Data Engineer role involves designing, developing, and maintaining data pipelines using Azure Data Factory, with a focus on ensuring data quality and security. The position requires collaboration with cross-functional teams and demands expertise in various data engineering tools and technologies. The role is based in Warwick and requires SC clearance or the ability to obtain it. It is classified as inside IR35 and requires 3-4 days onsite work per week.
Key Responsibilities:
- Design, develop, and maintain data pipelines using Azure Data Factory (ADF)
- Debug and optimize data workflows and processes
- Collaborate with cross-functional teams to deliver robust data solutions
- Ensure data quality, integrity, and security across platforms
Skills Required:
- Expert-level proficiency in Azure Data Factory (ADF)
- Strong experience with Snowflake, Databricks, and Python
- Solid understanding of Azure cloud services and SQL
- Excellent debugging and problem-solving skills
- Strong communication and collaboration abilities
- 6 to 8 years of relevant experience in data engineering roles
Salary (Rate): undetermined
City: Warwick
Country: United Kingdom
Working Arrangements: on-site
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
Azure Data Engineer 6 Months - Inside IR35 3-4 days onsite - Warwick SC Cleared or SC Clearable
Key Responsibilities:
- Design, develop, and maintain data pipelines using Azure Data Factory (ADF)
- Debug and optimize data workflows and processes
- Collaborate with cross-functional teams to deliver robust data solutions
- Ensure data quality, integrity, and security across platforms
Essential Skills & Experience:
- Expert-level proficiency in Azure Data Factory (ADF)
- Strong experience with Snowflake , Databricks , and Python
- Solid understanding of Azure cloud services and SQL
- Excellent debugging and problem-solving skills
- Strong communication and collaboration abilities
- 6 to 8 years of relevant experience in data engineering roles

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