Oliver Wyman - Data Engineer / Senior Data Engineer - Data and Analytics (DNA)

About the role

Oliver Wyman DNA seeks Data Engineer / Senior Data Engineer to build high-performance data pipelines, deploy ML frameworks, and collaborate with consulting teams across industries. Candidates will design cloud-native data applications, manage ETL processes, and advocate best practices in data engineering. The role requires strong programming in Python, experience with AWS/Azure/Google Cloud, SQL, big data tools (PySpark, Databricks, Snowflake, DBT), and CI/CD pipelines. Candidates should hold a bachelor’s or master’s in a computational discipline, have mentoring skills, and be willing to travel internationally. The position is hybrid, based in Gurugram, India, with onsite work at least three days per week. Benefits include health and welfare packages and employee assistance programs.

What you’ll do

• Working alongside Oliver Wyman consulting teams and partners, engaging directly with clients to understand their business challenges
• Exploring large-scale data and designing, developing, and maintaining data/software pipelines, and ETL processes for internal and external stakeholders
• Explaining, refining, and developing the necessary architecture to guide stakeholders through the journey of model building
• Advocating application of best practices in data engineering, code hygiene, and code reviews
• Leading the development of proprietary data engineering, assets, ML algorithms, and analytical tools on varied projects
• Creating and maintaining documentation to support stakeholders and runbooks for operational excellence
• Working with partners and principals to shape proposals that showcase our data engineering and analytics capabilities
• Travelling to clients’ locations across the globe, when required, understanding their problems, and delivering appropriate solutions in collaboration with them
• Keeping up with emerging state-of-the-art data engineering techniques in your domain

What you’ll bring

• Bachelor's or master's degree in a computational or quantitative discipline from a top academic program (Computer Science, Informatics, Data Science, or related)
• Strong mentoring skills, guiding junior engineers on advanced data engineering concepts, platforms, and quality assurance processes—applicable for Senior and Lead levels.
• Experience designing and deploying cloud-native data applications.
• Hands-on knowledge of test-driven development (TDD) and CI/CD pipeline integration.
• Pragmatic, methodical problem-solving approach with a focus on impactful delivery.
• Ability to independently prioritize workload and meet deadlines in fast-paced environments.
• Strong team collaboration skills combined with excellent verbal and written communication in English.
• Willingness to travel internationally as required.
• Strong respect for confidentiality and data security.

Nice to have

• Compelling side projects or contributions to the Open-Source community
• Awareness of machine learning frameworks (e.g., Scikit-Learn, TensorFlow)
• Familiarity with containerization technologies, such as Docker and Kubernetes
• Experience with backend web frameworks (FastAPI, Flask, Django) is beneficial
• Experience with NoSQL databases such as MongoDB or Cassandra

Skills

Benefits

We offer a competitive total rewards package that includes comprehensive health and welfare benefits as well as employee assistance programs.

Education

Bachelor's or master's degree in a computational or quantitative discipline