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Lead Data Engineer (AWS) - £55k - ID38964

Humand Talent

Reading

Hybrid

GBP 60,000 - 100,000

Full time

30+ days ago

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Job summary

An established industry player is seeking a Data Engineering Lead to spearhead the technical transformation of its data infrastructure. This role offers a unique opportunity to work with cutting-edge AWS technologies and lead a small team while staying hands-on with database optimisation and data migration. You will engage in collaborative problem-solving sessions and ensure robust data governance across platforms. If you are a highly skilled database expert with a passion for innovation and leadership, this is your chance to make a significant impact in a growing SaaS business.

Qualifications

  • Strong expertise in SQL, MySQL, and Postgres with database management skills.
  • Experience with AWS tools and Google Analytics for data strategy.

Responsibilities

  • Lead the migration of legacy data systems to AWS for efficiency.
  • Optimise databases and enhance data strategy using AWS and Google Analytics.

Skills

SQL
MySQL
Postgres
AWS Redshift
AWS S3
Google Analytics
Database Management
Problem Solving

Tools

AWS
SaaS

Job description

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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