Advanced Forward Engineering
EY
The AFE Data Engineer collaborates with delivery engineers and client stakeholders to integrate AI systems with legacy data environments in forward-deployed pods.
Last checked on September 13, 2026. We may earn a commission when you click through.
This position is ideal for experienced data engineers looking to work closely with clients and embrace innovative projects. However, the non-remote nature may deter some candidates seeking flexibility.
About this role
The AFE Data Engineer collaborates with delivery engineers and client stakeholders to integrate AI systems with legacy data environments in forward-deployed pods.
About the Company
EY is a global leader in assurance, tax, transaction, and advisory services, known for its innovative approach in the professional services sector.
Key Highlights
- ✓ Work directly with client stakeholders
- ✓ Integrate AI systems with legacy environments
- ✓ Operate within forward-deployed pods
- ✓ Collaborate with delivery engineers
- ✓ Focus on enterprise-level solutions
💡 Honest Take: The role's unique setup in forward-deployed pods is a shift from traditional data engineering, which can lead to a more . However, this may also mean less structure and support than typical corporate roles.
Pros
- ✓ Direct collaboration with clients
- ✓ Innovative approach to data engineering
- ✓ Engaging and dynamic work environment
Cons
- ✗ Non-remote position
- ✗ Potentially less corporate structure
- ✗ Higher expectations for client interaction
Best For: Experienced professionals in data engineering who enjoy direct engagement with clients and are adaptable to changing project needs.
Watch Out: The role's non-remote nature may limit options for those preferring flexible work arrangements.
You'll be redirected to talent.com
What Customers Say
Employees report a dynamic work environment with innovative projects, but some mention the challenges of client-facing roles.
Expert Review
This position at EY offers a unique experience for data engineers by placing them in forward-deployed pods, allowing for direct collaboration with clients. This can lead to but it also requires adaptability in a potentially less structured environment. Unlike traditional roles, this setup may lack the usual corporate support systems, which can be challenging for some.
Candidates should consider the work dynamics, as client-facing responsibilities can be demanding. The role is well-suited for those who enjoy hands-on problem-solving and client interaction. However, the non-remote work structure may not appeal to everyone, especially those accustomed to flexible job settings.
For more details about the role and application process, visit EY's official page. This position represents a shift towards more engaged and dynamic data engineering, but it's essential to weigh the benefits against the demands of client interaction and the lack of remote work options.
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