Forward Deployed Data Engineer

Marsh McLennan; Dadri, Gurugram District; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Marsh in India, part of the Innovation & Advanced Analytics team, invites a Forward Deployed Data Engineer to join in Gurugram/Noida. This hybrid role requires in-office presence at least three days a week.

You will translate loosely defined requirements into scalable, production‑ready data solutions, from source systems and data models to pipelines and application‑ready data layers, collaborating with pod stakeholders and technical leads.

Qualifications

• Strong experience in data engineering, including design and delivery of production-grade pipelines and data assets.
• Deep experience with Databricks and modern relational data platforms, including Delta Lake, Spark SQL, Unity Catalog, and medallion architecture.
• Strong SQL skills, including complex joins, window functions, large-scale aggregations, and performance optimisation.
• Experience with Python for data engineering, including PySpark and pandas.
• Demonstrated ability to operate independently, make technical decisions quickly, and deliver with minimal supervision.

Responsibilities

• Design, build, and maintain end-to-end data pipelines across the Marsh data ecosystem, from source ingestion through transformation and provisioning into application-ready layers.
• Contribute to the design of data models, source structures, and silver/gold-layer schemas to support analytical and application use cases.
• Write production-grade SQL and engineering logic for data transformation, aggregation, and provisioning at scale.
• Ensure data is structured appropriately for downstream consumption by applications, APIs, analytics workflows, and user-facing solutions.
• Implement data quality controls, validation checks, reconciliation logic, and exception-handling patterns across the pipeline.
• Independently investigate data issues, source discrepancies, and schema gaps, and resolve them without reliance on highly detailed specifications.
• Rapidly develop working knowledge of the relevant business domain, including Health & Benefits concepts where applicable, to make informed data engineering and modelling decisions.
• Use AI-enabled tools and engineering workflows to accelerate development, troubleshooting, and delivery.
• Support continuous improvement of data assets, pipelines, and engineering practices within the pod.

Skills

Data engineering

Databricks

SQL

Python

Independent

Tools

Delta Lake

Spark SQL

Unity Catalog

Medallion architecture

Job description

Forward Deployed Data Engineer

Innovation & Advanced Analytics (IAA) | Marsh

We are seeking a talented individual to join our Innovation & Advanced Analytics (IAA) team at Marsh. This role will be based in Gurugram/Noida. This is a hybrid role that has a requirement of working at least three days a week in the office.

The Forward Deployed Data Engineer is a high-autonomy, AI-enabled engineer embedded within an innovation pod to solve business-critical data problems end-to-end. This role is responsible for taking loosely defined requirements and independently translating them into scalable, production-ready data solutions from understanding source systems and shaping data models to building pipelines and provisioning application-ready data layers.
Working closely with pod stakeholders and technical leads, the Forward Deployed Data Engineer is expected to move quickly, make sound engineering decisions with minimal supervision, and build data assets that directly support analytics applications, APIs, and business use cases.

We will count on you to:

• Design, build, and maintain end-to-end data pipelines across the Marsh data ecosystem, from source ingestion through transformation and provisioning into application-ready layers.
• Contribute to the design of data models, source structures, and silver/gold-layer schemas to support analytical and application use cases.
• Write production-grade SQL and engineering logic for data transformation, aggregation, and provisioning at scale.
• Ensure data is structured appropriately for downstream consumption by applications, APIs, analytics workflows, and user-facing solutions.
• Implement data quality controls, validation checks, reconciliation logic, and exception-handling patterns across the pipeline.
• Independently investigate data issues, source discrepancies, and schema gaps, and resolve them without reliance on highly detailed specifications.
• Rapidly develop working knowledge of the relevant business domain, including Health & Benefits concepts where applicable, to make informed data engineering and modelling decisions.
• Use AI-enabled tools and engineering workflows to accelerate development, troubleshooting, and delivery.
• Support continuous improvement of data assets, pipelines, and engineering practices within the pod.

What you need to have:

• Strong experience in data engineering, including design and delivery of production-grade pipelines and data assets.
• Deep experience with Databricks and modern relational data platforms, including Delta Lake, Spark SQL, Unity Catalog, and medallion architecture.
• Strong SQL skills, including complex joins, window functions, large-scale aggregations, and performance optimisation.
• Experience with Python for data engineering, including PySpark and pandas.
• Demonstrated ability to operate independently, make technical decisions quickly, and deliver with minimal supervision.

What makes you stand out:

• Fully AI-enabled in day-to-day ways of working, including use of Copilot, LLM assistants, and code-generation tools.
• Exposure to insurance, Health & Benefits, or actuarial data domains.
• Exposure to APIs, application data layers, or TypeScript/Node.js environments.

Why join our team:

We help you be your best through professional development opportunities, interesting work and supportive leaders.
We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your wellbeing.

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit corporate.marsh.com, or follow us on LinkedIn and X.

Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.