Data Engineer
NTT DATA
Seeking an experienced Data Engineer skilled in Python for data engineering and pipelines. Remote work options may vary based on client needs.
Last checked on September 8, 2026. We may earn a commission when you click through.
This position is ideal for mid-level data engineers with strong Python skills, but the lack of disclosed salary and potential shifts in remote work may deter some applicants. If you thrive in s, this could be a fit.
About this role
Seeking an experienced Data Engineer skilled in Python for data engineering and pipelines. Remote work options may vary based on client needs.
About the Company
NTT DATA is a global technology services provider focused on delivering innovative solutions and consulting services.
Key Highlights
- ✓ Advanced Python programming skills required
- ✓ Opportunity for remote or hybrid work arrangements
- ✓ Focus on data engineering and data pipelines
- ✓ Mid-level experience preferred
💡 Honest Take: While NTT DATA offers flexibility with remote options, candidates should be prepared for potential changes based on client demands. The competition for such roles can be tough, so expect a rigorous selection process.
Pros
- ✓ Strong focus on Python and data engineering
- ✓ Flexible work arrangements possible
- ✓ Reputable company with global presence
Cons
- ✗ Salary information not disclosed
- ✗ Remote work subject to client requirements
- ✗ Mid-level experience required, limiting entry-level applicants
Best For: Professionals in data engineering with Python expertise looking for a role in a reputable tech company.
Watch Out: Remote work arrangements could change based on client needs, which may affect job stability.
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Expert Review
As a Data Engineer at NTT DATA, you’ll be expected to leverage advanced Python skills to build efficient data pipelines. The role offers potential flexibility with remote work, but candidates should be aware that such arrangements are not guaranteed and may shift according to client demands. This could lead to unexpected in-office requirements, which might be a dealbreaker for some.
The company has a solid reputation in the tech industry, but the salary for this position isn't disclosed, making it challenging for candidates to evaluate compensation against market standards. This lack of transparency can be a hurdle during negotiations, especially for candidates with significant experience. the emphasis on mid-level experience means that entry-level applicants might struggle to secure this role, which could limit opportunities for those just starting in data engineering.
Overall, while the position has its merits, particularly for those with the right skill set, potential applicants should weigh the pros and cons carefully before applying.
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