Data Engineer (AWS) - £55k - ID38964

Humand Talent
Reading
3 weeks ago
Applications closed

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This range is provided by Humand Talent. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

  • 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?

If so, this Data Engineering Lead role could be your next great opportunity!

Why This Role is Great

This is a highly technical leadership role, ideal for someone who thrives in database management and cloud-based data solutions. You’ll lead one team member while staying 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.
  • Lead and mentor one team member, with a focus on technical excellence rather than heavy management.

About You

This role is suited to a highly skilled database expert who enjoys problem-solving and working hands-on with data. While leadership is part of this role, 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.
  • Experience leading or mentoring others, but with a technical-first mindset.

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!

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Technology, Information and Media


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