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Senior Data Engineer - £55k - ID38964

Humand Talent
Didcot
1 month ago
Applications closed

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Senior Data Engineer - Snowflake - £100,000

  • Are you a highly technical data expert ready to lead and innovate?


  • Do you have strong expertise in databases, SQL, MySQL, and Postgres?


  • Are you experienced with AWS tools like Redshift and S3, alongside Google Analytics?


  • Do you want to take the lead in modernising a company’s data infrastructure?



Why This Role is Great

This is a highly technical role, ideal for someone who thrives in database management and cloud-based data solutions. You’ll stay hands-on with database optimisation, data migration, and SaaS product analytics.



In this role, you will:

  • Work across multiple platforms, supporting both internal and external SaaS products.
  • Lead the migration of legacy data systems to AWS, ensuring efficiency and scalability.
  • Optimise databases, particularly SQL, MySQL, Postgres, and Redshift.
  • Utilise AWS services (S3, Redshift) and Google Analytics to enhance data strategy.
  • Ensure robust data governance and performance monitoring across platforms.
  • Engage in collaborative whiteboarding sessions, working closely with cross-functional teams.


About You

This role is suited to a highly skilled database expert who enjoys problem-solving and working hands-on with data. The primary focus is on technical expertise and execution.



What will make you stand out?

  • Strong expertise in SQL, MySQL, Postgres, with a deep understanding of databases.
  • Experience working with AWS tools (Redshift, S3) and Google Analytics.
  • Ability to migrate legacy data systems to AWS while optimising performance.
  • Strong problem-solving skills and a proactive, hands-on approach.
  • Comfortable working in-office three days a week, collaborating with the team.



What’s in It for You?

  • Lead the technical transformation of a growing SaaS business.
  • Work with cutting-edge AWS and database technologies.
  • Be part of a collaborative, whiteboard-heavy problem-solving team.
  • A hybrid work setup, with flexibility for exceptional candidates.



The Interview Process

  • First stage: 30-minute introductory call
  • Second stage: In-person technical task assessment


Ready to Apply?

For more information or a confidential discussion, get in touch today.


Apply now and take the next step in your data leadership journey!

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