Data Modeller
LTM
Join LTM as a Data Modeller in Bengaluru, leveraging your expertise in data transformation and insurance domain knowledge to enhance data processes.
Last checked on June 12, 2026. We may earn a commission when you click through.
For data professionals looking to make an impact in the insurance sector, this position offers a solid opportunity for growth.
For data professionals looking to make an impact in the insurance sector, this position offers a solid opportunity for growth.
About this role
Join LTM as a Data Modeller in Bengaluru, leveraging your expertise in data transformation and insurance domain knowledge to enhance data processes.
About the Company
LTM is a technology company specializing in data solutions, particularly in the insurance sector.
Key Highlights
- ✓ Focus on data modelling with strong insurance domain expertise.
- ✓ Experience with Azure Databricks and Data Factory.
- ✓ Transform and map data from source systems to data lakes.
💡 Honest Take: This role is ideal for professionals with a solid background in insurance and data engineering, but it may not suit those without relevant experience.
Pros
- ✓ Focus on a growing industry.
- ✓ Opportunity to work with modern data tools.
- ✓ Strong emphasis on data transformation skills.
Cons
- ✗ Requires specific domain knowledge in insurance.
- ✗ Limited location options (Bengaluru).
- ✗ No remote work opportunities.
Best For: This role is targeted towards mid-level professionals with experience in data modelling and transformation.
Watch Out: Candidates should be prepared to demonstrate their expertise in data systems and the insurance domain during the application process.
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What Customers Say
Current employees highlight the collaborative environment and the emphasis on professional growth within the company.
Expert Review
The Data Modeller position at LTM is geared towards those with a foundation in data engineering and specific expertise in the insurance sector. This role focuses heavily on data transformation and mapping, primarily utilizing tools like Azure Databricks and Data Factory. Candidates should have experience with data ingestion and preparation, which is crucial for success in this position.
Working in Bengaluru, this opportunity offers a chance to engage directly with data processes that affect the insurance industry. Given the growing reliance on data-driven decisions in insurance, professionals who can bridge the gap between data and business needs will find themselves in high demand. The lack of remote options may deter some candidates, but the on-site nature fosters collaboration and hands-on problem-solving.
While the role is promising for those with the right background, it does require specific domain knowledge, which may limit its appeal to a broader audience. Prospective applicants should be prepared to showcase their skills in data transformation during the hiring process. Overall, this position for individuals ready to make significant contributions in a well-established sector.
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