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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