Data Engineer

Overview

I am working with a brand new client, an end user based in Leeds who are building an exciting data practice, doing some highly advanced work in the data space.

Salary and Benefits

• 
  
• Highly competitive salary of £80k - £85k (DOE)
  
• Performance-related bonus
  
• Competitive annual leave package
  
• Private medical care
  
• And many more
  

Role and Responsibilities

• 
  
• Design and manage Snowflake-based data pipelines, ensuring data flows seamlessly from multiple sources into the data platform.
  
• Collaborate with business stakeholders and data analysts to identify data requirements and deliver the appropriate solutions.
  
• Ensure the integration of structured and unstructured data sources into Snowflake, optimizing data models for reporting.
  
• Work with data analysts to support their data needs and optimize semantic models for Snowflake-based reporting and analytics.
  
• Implement data governance policies and ensure data security across the Snowflake platform.
  
• Monitor and maintain the performance of data systems to ensure scalability and reliability.
  

What you need to apply

• 
  
• Experience with Snowflake
  
• Experience with the AWS data stack (Glue, S3, Athena, etc)
  
• Python and PySpark expertise
  
• Experience building data warehouses from scratch
  
• Strong understanding of data integration, transformation, and storage in a cloud-based environment
  
• Experience working with structured and unstructured data sources in Snowflake.
  
• Knowledge of data governance, security practices, and best practices for Snowflake.
  

How to apply

If you’re interested, get in touch ASAP with a copy of your most recent and up-to-date CV and email me at or you can call me on .

Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.

Seniority level

• 
  
• Mid-Senior level
  

Employment type

• 
  
• Full-time
  

Job function

• 
  
• Information Technology
  

Industries

• 
  
• Technology, Information and Media
  

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