Data Engineer

Who is ERM?
ERM is a leading global sustainability consulting firm, committed for nearly 50 years to helping organizations navigate complex environmental, social, and governance (ESG) challenges. We bring together a diverse and inclusive community of experts across regions and disciplines, providing a truly multicultural environment that fosters collaboration, professional growth, and meaningful global exposure. As a people-first organization, ERM values well-being, career development, and the power of collective expertise to drive sustainable impact for our clients—and the planet.

Introducing our new Global Delivery Centre (GDC)
Our Global Delivery Centre (GDC) in India is a unified platform designed to deliver high-value services and solutions to ERM’s global clientele. By centralizing key business and consulting functions, we streamline operations, optimize service delivery, and enable our teams to focus on what matters most—advising clients on sustainability challenges with agility and innovation. Through the GDC, you will collaborate with international teams, leverage emerging technologies, and further enhance ERM’s commitment to excellence—amplifying our shared mission to make a lasting, positive impact.

Job Objective

The objective of the Data Engineer role is to help our consultants upskill in the use of new technology and tools, especially AI tools. The Data Engineer will work with project teams to demonstrate and showcase capabilities using ERM's technology and AI tools, and impart that knowledge to the project teams so they can undertake these tasks themselves. Additionally, the role involves creating tools and resources for project teams to independently achieve their goals. The overall objective is to facilitate the growth of capabilities within our consulting ranks.

Key Accountabilities & Responsibilities

Work directly with project teams to solve their problems using available tools, ensuring that project teams can independently and autonomously solve these problems in the future.

Identify generic forms of requests to build tools and applications that consultants can use off the shelf for similar purposes in the future.

Understand requirements and own the execution of tasks while collaborating across the business.

Demonstrate and showcase capabilities using ERM's technology and AI tools, such as Microsoft Fabric and Copilot.

Create tools and resources to support project teams in achieving their goals independently.

Influence And Decision Making Authority

Influence: The Data Engineer will have significant influence over the adoption and implementation of new technologies and AI tools within project teams. They will guide and mentor consultants, helping them to upskill and become proficient in using these tools independently.

Decision Making Authority: The Data Engineer will have the authority to make decisions regarding the design and development of tools and resources that will be used by project teams. They will also be responsible for identifying common problems and creating reusable solutions that can be applied across different projects. Additionally, they will collaborate with various departments to ensure that the tools and solutions developed align with the overall business strategy and objectives.

Job Requirements & Capabilities

Qualifications:

Bachelors degree qualified in science, engineering or mathematics

Job specific capabilities/skills:

Skills in data engineering and working with databases.

Experience in data science and coding in Python is favorable.

Experience with Microsoft Fabric highly regarded.

Experience with large language models (LLMs) or other natural language processing tools.

Ability to work with non-technical specialists to upskill or train them.

Strong communication skills and the ability to articulate complex scenarios effectively.

Ability to work in a complex, global, dynamic organization and be effective within matrixed reporting environments and multi-partner contexts.

Problem-solving skills and the ability to make decisions by assessing situations and selecting appropriate courses of action.