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Delhi · On-site · 8-11 Yrs · 6 hours ago
Business consulting · 5001 to 10000 Employees · London, United Kingdom
Environmental Resources Management (ERM ) manages, maintains, and meters the resources of Mother Earth. The environmental consulting firm offers site development and remediation services, as well as technical services, for water and wastewater management, air quality assessment, and pollution control. With 130 offices in 40 countries, ERM also provides facility operations and merger consulting services, including strategic advice, impact studies, contaminated sites management, and permitting assistance. Clients include Alcoa, Bayer, Del Monte, and Mattel. ERM was sold to Charterhouse Capital Partners in 2011 as part of a management buyout.
Hiring: Engineering
What employees say
+ Good employee benifits and pay scale
− No work life balance, no team environment
More reviews on the company profile.
Interview experience · Digital Consultant
It was a good discussion that I had with the Team. I could answer 50% of the Questions asked. Probably better preparation would have helped me. Next Time I hope I will be able to crack the Interview.
Average difficulty · Bengaluru · 10 reports
More interview insightsJob description
Overview
ERM is the world's largest specialist sustainability consultancy, with over 50 years of experience helping organizations navigate complex environmental, social, and governance challenges.
Responsibilities
- Develop scalable data engineering frameworks, integration solutions, and application components to support efficient project delivery.
- Collaborate with stakeholders to gather requirements and translate business challenges into scalable data and application solutions.
- Design and implement cloud-enabled data platforms and web applications that support global consulting delivery.
- Build and maintain reusable frontend and backend components that can be leveraged across multiple projects.
- Collaborate with project teams to identify automation and digital transformation opportunities and convert requirements into scalable technical solutions.
- Prepare technical documentation, testing records, architecture diagrams, user guides, and implementation artifacts.
- Contribute to team capability building through mentorship, knowledge sharing, technical reviews, and continuous learning initiatives.
Qualifications
- Experience with Azure Data Factory, Databricks, Synapse Analytics, Fabric, Snowflake, or similar data platforms.
- Experience building cloud-native applications and microservices architectures.
- Experience with Node.js, .NET, FastAPI, Flask, or similar backend development frameworks.
- Experience working with containerization technologies such as Docker and Kubernetes.
- Experience implementing data governance, data quality, and master data management practices.
- Experience developing enterprise dashboards using Power BI or similar visualization platforms.
- Exposure to environmental, sustainability, ESG, GIS, EHS, or asset management datasets is considered advantageous.
- Experience mentoring junior developers or data engineers and supporting capability development initiatives.
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Job application FAQ
Last updated 27 October 2026
- How do I apply for Managing Consultant, Data Engineer at ERM?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. ERM may attach structured assessments to interview rounds after you apply.
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- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Managing Consultant, Data Engineer remote or on-site in New Delhi, Delhi?
- This listing is marked on_site with location New Delhi, Delhi. Confirm details on the job description before applying.
- What skills matter for this Managing Consultant, Data Engineer role at ERM?
- This is a mid-level Managing Consultant, Data Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.