AWS Data Engineer
Harnham
Join a growing SaaS company in Manchester as an AWS Data Engineer, shaping data infrastructure for machine learning and real-time decision making.
Last checked on June 11, 2026. We may earn a commission when you click through.
If you're seeking to advance your career in a dynamic environment, this position is .
If you're seeking to advance your career in a dynamic environment, this position is .
About this role
Join a growing SaaS company in Manchester as an AWS Data Engineer, shaping data infrastructure for machine learning and real-time decision making.
About the Company
Harnham is a leading recruitment agency specialising in data and analytics, connecting talent with innovative companies.
Key Highlights
- ✓ Hybrid work model with 2 days in the office
- ✓ Focus on modern data infrastructure development
- ✓ Support for machine learning systems
- ✓ Opportunities for professional growth
- ✓ Part of a scaling SaaS business
💡 Honest Take: This role is ideal for those passionate about data engineering and looking to impact real-time decision-making.
Pros
- ✓ Innovative work culture
- ✓ Strong focus on professional development
- ✓ Opportunity to work with cutting-edge technology
- ✓ Collaborative team environment
- ✓ Hybrid working model
Cons
- ✗ Requires in-office presence
- ✗ Fast-paced environment may be challenging for some
- ✗ Specific AWS experience needed
- ✗ No salary range provided
- ✗ Potentially limited job security in a scaling company
Best For: This role is for those who thrive in collaborative environments and have a strong background in data engineering.
Watch Out: Be prepared for a demanding pace as the company scales rapidly, which may not suit everyone.
You'll be redirected to uk.talent.com
What Customers Say
Employees appreciate the innovative culture and professional development opportunities, though some express concerns about job security as the company scales.
Expert Review
data engineering, the AWS Data Engineer role at Harnham offers an exciting opportunity to work within a scaling SaaS business. With a hybrid work model, employees enjoy balance while contributing to data infrastructure that supports machine learning and real-time decision making.
Candidates should be prepared for a fast-paced environment, which may present challenges for those not accustomed to rapid change. The emphasis on collaboration and innovation suggests a vibrant workplace culture. However, the lack of salary transparency could deter potential applicants seeking clear compensation expectations.
For those eager to grow their careers in data engineering, this position promises exposure to advanced technologies and the chance to influence significant business outcomes. The official job listing can be found on Harnham's page for more details.
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