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1 to 50 Employees · London, United Kingdom
Hiring: Engineering
What employees say
+ Very Good Culture. Supportive Staff.
− Nothing to Mention as of now
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Interview experience · Digital Marketing Executive
The interview process you've described typically consists of two main stages: a first telephonic interview and a second face-to-face interview with the Human Resources (HR) representative. Here's a breakdown of each stag
Very_easy difficulty · India · 1 reports
More interview insightsJob description
Overview
Senior Data Engineer – Databricks Experience: 6+ years (strong hands-on Databricks experience) Location: Ahmedabad preferred (open to candidates from other locations) Work Mode: Hybrid Joining: Immediate joiners only About the Role We are looking for a Senior Data Engineer with strong expertise in Databricks.
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Job application FAQ
Last updated 20 September 2026
- How do I apply for Senior Data Engineer – Databricks | Azure Data Factory at XpertNest?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. XpertNest may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Senior Data Engineer – Databricks | Azure Data Factory role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Senior Data Engineer – Databricks | Azure Data Factory remote or on-site in Kheda?
- This listing is marked hybrid with location Kheda. Confirm details on the job description before applying.
- What skills matter for this Senior Data Engineer – Databricks | Azure Data Factory role at XpertNest?
- This is a senior Senior Data Engineer – Databricks | Azure Data Factory role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.