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

Actively Reviewing the Applications

Marsh Risk

Posted 2 days ago Apply by June 11, 2026

Job Description

Practice Overview

Practice: Data and Analytics (DNA) - Analytics Consulting

Location: Gurugram, India

At Oliver Wyman DNA, we partner with clients to solve tough strategic business challenges with the power of analytics, technology, and industry expertise. We drive digital transformation, create customer-focused solutions, and optimize operations for the future. Our goal is to achieve lasting results in collaboration with our clients and stakeholders. We value and offer opportunities for personal and professional growth. Join our entrepreneurial team focused on delivering impact globally.

Our Mission and Purpose

  • Mission: Leverage India’s high-quality talent to provide exceptional analytics-driven management consulting services that empower clients globally to achieve their business goals and drive sustainable growth, by working alongside Oliver Wyman consulting teams.
  • Purpose: Our purpose is to bring together a diverse team of highest-quality talent, equipped with innovative analytical tools and techniques to deliver insights that drive meaningful impact for our global client base. We strive to build long-lasting partnerships with clients based on trust, mutual respect, and a commitment to deliver results.
  • We aim to build a dynamic and inclusive organization that attracts and retains the top analytics talent in India and provides opportunities for professional growth and development. Our goal is to provide a sustainable work environment while fostering a culture of innovation and continuous learning for our team members.

The Role And Responsibilities

We have open positions ranging from Data Engineer to Lead Data Engineer, providing talented and motivated professionals with excellent career and growth opportunities. We seek individuals with relevant prior experience in quantitatively intense areas to join our team. You’ll be working with varied and diverse teams to deliver unique and unprecedented solutions across all industries.

In the data engineering track, you will be primarily responsible for developing and monitoring high-performance applications that can rapidly deploy latest machine learning frameworks and other advanced analytical techniques at scale. This role requires you to be a proactive learner and quickly pick up new technologies, whenever required. Most of the projects require handling big data, so you will be required to work on related technologies extensively. You will work closely with other team members to support project delivery and ensure client satisfaction.

Your Responsibilities Will Include

  • 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

Your Attributes, Experience & Qualifications

  • 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.

< We are seeking a highly skilled Senior Data Engineer to lead the design and implementation of efficient data flows and infrastructure within our data platform.

You will manage a small team of data engineers, collaborate closely with business and technology teams, and drive strategic data engineering initiatives that enable data-driven decision-making across the organization. This position will be based in Cluj-Napoca, Romania as a hybrid role that has a requirement of working three days a week in the office.

Marsh has established its EMEA Technology Hub in Cluj, Romania, reflecting our commitment to innovation and excellence. This hub is central to our digital strategy, addressing emerging challenges and enhancing service delivery through advanced technology solutions that empower our clients and promote sustainable growth.

We will count on you to:

  • Lead the design, development, and deployment of scalable data pipelines and architectures supporting layered data frameworks on modern data platforms
  • Manage and mentor a team of data engineers, fostering a culture of technical excellence, collaboration, and continuous improvement
  • Collaborate closely with business teams to rapidly develop data pipelines and analyses that meet evolving requirements
  • Partner with central platform teams to implement features that enhance data operations efficiency and reliability
  • Use and contribute to the data engineering toolset at Marsh, adhering to our best practices and standards while also helping to make improvements based on your experience and project requirements
  • Drive adoption of DevOps/DataOps best practices, including Git version control, pipeline-driven deployments, and CI/CD workflows
  • Provide strategic guidance and technical leadership on data engineering best practices, cloud technologies (i.e. Databricks)
  • Engage with stakeholders to address technical queries and promote data and analytics capabilities
  • Stay abreast of emerging technologies and industry trends to continuously improve data engineering practices

What you need to have:

  • Excellent communication skills in both English and Romanian
  • 5+ years of experience in data engineering roles, including leadership or team management experience
  • Strong proficiency in SQL and Python, with advanced scripting and automation skills
  • Extensive experience with cloud data platforms such as Databricks, Snowflake, Synapse, and cloud providers like AWS, Azure, or GCP
  • Proven experience with Git, CI/CD pipelines, and DevOps/DataOps methodologies
  • Ability to identify and proactively solve complex data-related problems
  • Experience working in fast-paced, client-facing, or consulting environments is a plus.

What makes you stand out?

  • Demonstrated excellence in both technical and business roles
  • Proven leadership and mentoring capabilities
  • Databricks Certification
  • Experience with DBT
  • Passion for growth and learning, both personally and for your team
  • Experience implementing data governance frameworks and metadata management
  • Strong ability to translate business needs into scalable technical solutions

Why join our team:

  • Work in an environment that empowers individuals to reach their full potential, fostering personal and professional growth
  • 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 an 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 well-being;
  • A yearly budget and the opportunity to build your flexible benefits package (up to 20% of your annual salary);
  • 30+ days off (including legal days, birthday, public holiday replacements, and benefits options);
  • Performance bonus scheme;
  • Matching charity contributions, charity days off, and the Pay it Forward charity challenge;
  • Core benefits: Pension, Life and Medical Insurance, Meal Vouchers, Travel Insurance

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 creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, 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.

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