Data Engineer (AWS) - £55k - ID38964

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

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.