We are seeking an experienced Data Engineer to join our Artificial Intelligence and Digital Platforms team. The ideal candidate will bring strong technical expertise in building data pipelines and extracting valuable insights from complex datasets. The role involves developing, constructing, testing, and maintaining architectures that support data models and large-scale data-processing systems. This work will advance the organisation’s efforts in driving meaningful change across clean energy transitions, clean air initiatives, and climate action for a secure and sustainable society.

Responsibilities

• Designing, constructing, installing, testing, and maintaining highly scalable data management systems
• Ensuring systems meet business requirements and industry best practices
• Building high-performance, robust data pipelines
• Identifying opportunities for data acquisition and innovative uses of existing data
• Developing standard processes for data modelling, data mining, and pipeline development
• Integrating new data management technologies and software engineering tools into existing structures
• Collaborating with architects, researchers, and IT teams to achieve project goals
• Recommending strategies to improve data reliability, efficiency, and quality

Qualifications

Bachelor’s degree in computer science or a related field, with a keen interest in developing best-in-class data systems

Skill Set

• Proven experience in building end-to-end data pipelines for large-scale enterprise use cases and supporting machine learning model development
• Strong knowledge of database technologies (SQL and NoSQL), data modelling, and ETL processes
• Demonstrated ability to analyse requirements and translate them into effective data architectures and systems
• Proficiency in diagnosing and optimising database performance
• Excellent problem-solving and troubleshooting capabilities
• Strong communication skills, with the ability to engage effectively with both technical and non-technical stakeholders
• Interest in AI/ML and the aptitude to develop machine learning models
• Familiarity with spatial databases and GIS (preferred)

We are looking for an Analyst to lead research and modelling on emission reduction in India’s thermal power sector. The role involves analysing global emission trends and evaluating international technologies and regulatory frameworks for their applicability in the Indian context. You will contribute to the development of India-specific emission reduction strategies by conducting technology feasibility assessments, abatement cost analyses, and evaluating social and environmental impacts. The position also includes designing a standardised proforma to collect and analyse plant-level emission data, supporting India’s 2030 and 2070 decarbonisation goals.

Responsibilities

• Analyse global and national emission trends of thermal power plants and benchmark India’s performance against international standards.
• Evaluate emission control technologies, policies, and regulatory frameworks adopted by leading countries such as China, the United States, and Russia.
• Conduct detailed assessments of India’s thermal power sector, including emission profiles, efficiency levels, and abatement potential.
• Develop India-specific, phased emission reduction strategies aligned with national and global climate targets.
• Perform technology feasibility and abatement cost analyses for advanced and low-emission thermal technologies.
• Assess the social and environmental impacts of proposed mitigation measures and recommend just transition pathways.
• Design and implement a standardised proforma to collect, verify, and analyse plant-level emission data from public and private utilities.
• Collaborate with government agencies, utilities, and research partners to ensure data robustness, analytical accuracy, and policy relevance.

Qualifications

Bachelor’s degree in electrical, mechanical, energy, or environmental engineering or a Master’s degree in power systems, energy policy, or sustainability (preferred), with 2–4 years of experience in power sector modelling, emission assessment, or energy policy research.

Skill Set

• Strong understanding of thermal power plant operations, emission processes, and control technologies such as FGD, SCR, supercritical systems, and carbon capture and storage (CCS).
• Proficiency in energy and emission modelling tools (e.g., GridPath, PyPSA, or equivalent analytical platforms).
• Knowledge of global and national policy frameworks, including IEA Net Zero scenarios, UNFCCC methodologies, and India’s CCTS and PAT schemes.
• Experience in data analysis, techno-economic assessment, and marginal abatement cost (MAC) modelling.
• Ability to design standardised data-collection templates (proformas) and manage large, multi-source datasets.
• Strong skills in policy research, benchmarking, and technical report writing for government or multilateral projects.
• Familiarity with environmental and social impact assessments (ESIA) in the power sector.
• Excellent communication, analytical, and stakeholder coordination skills for engagement with utilities, regulators, and consultants.