Lead Data Engineer
About the Company
We are looking for a Databricks Data Engineer who is strong on fundamentals and genuinely curious about where the platform is going. This role sits within our Data & AI Centre of Excellence as part of a dedicated Databricks practice -focused on building use cases, running POCs, and developing solutions that support and grow our Databricks partnership.
About the Role
This is not a pipeline maintenance role. The work is exploratory by nature -you will be expected to learn new Databricks capabilities as they land, build proof-of-concepts, and contribute to a growing solution catalogue across Manufacturing, Retail, and BFSI verticals.
Responsibilities
If you are someone who reads release notes, experiments in sandboxes, and wants to understand the full Databricks stack rather than a narrow slice of it -this is the right environment. The expectation at this level is solid DE foundations combined with hands-on exposure to Databricks AI capabilities -specifically Mosaic AI and Genie. Production experience is not required for the AI layer; demonstrated curiosity and ability to build and present working POCs.
Qualifications
Exp-5+ years
Required Skills
Strong fundamentals in Data Engineering Hands-on exposure to Databricks AI capabilities
Preferred Skills
Experience with Mosaic AI and Genie
Pay range and compensation package
Not specified
Equal Opportunity Statement
We are committed to diversity and inclusivity.
We are looking for a Databricks Data Engineer who is strong on fundamentals and genuinely curious about where the platform is going. This role sits within our Data & AI Centre of Excellence as part of a dedicated Databricks practice -focused on building use cases, running POCs, and developing solutions that support and grow our Databricks partnership.
About the Role
This is not a pipeline maintenance role. The work is exploratory by nature -you will be expected to learn new Databricks capabilities as they land, build proof-of-concepts, and contribute to a growing solution catalogue across Manufacturing, Retail, and BFSI verticals.
Responsibilities
If you are someone who reads release notes, experiments in sandboxes, and wants to understand the full Databricks stack rather than a narrow slice of it -this is the right environment. The expectation at this level is solid DE foundations combined with hands-on exposure to Databricks AI capabilities -specifically Mosaic AI and Genie. Production experience is not required for the AI layer; demonstrated curiosity and ability to build and present working POCs.
Qualifications
Exp-5+ years
Required Skills
Strong fundamentals in Data Engineering Hands-on exposure to Databricks AI capabilities
Preferred Skills
Experience with Mosaic AI and Genie
Pay range and compensation package
Not specified
Equal Opportunity Statement
We are committed to diversity and inclusivity.