Senior Data Product Engineer

About Better CottonInitiative

Better Cotton Initiative is a global not-for-profit organisation supporting the production of more equitable and sustainable cotton at farm level. We exist to catalyse the cotton farming community with partners, governments and others to continuously drive positive impact by setting standards and facilitating the supply and demand of more sustainable cotton from farm to brand. In just 15 years we have aligned more than a fifth of the world’s cotton with our standard and helped farmers and farming communities thrive. Join us in building a better, more sustainable future for cotton worldwide.

About our Values

The post holder will be expected to operate in line with our workplace values which are:

• Trustworthy (including honest, transparent, credible)
• As having Integrity (including responsible, authentic)
• Positive (including problem-solving, pragmatic)
• Engaging (including adaptable, inclusive, holistic)
• Daring (including courageous, innovative, game-changing)

Being you @ Better CottonInitiative

Better Cotton Initiative is committed to creating a diverse environment and is proud to be an equal opportunity employer with a strong commitment to good practice and transparency in the management of natural, human, and financial resources.

We have a zero-tolerance approach to any attitudes or behaviours that put children or adults at risk of harm. Safeguarding incidents are acts of serious misconduct and are grounds for disciplinary action, up to and including, dismissal and referral to relevant authorities for criminal prosecution. Therefore, all offers of employment are subject to satisfactory references and appropriate screening checks.

Starting Date: September 1, 2026

Contract type: Full-time and open-ended

Salary: INR 2,716,737 per annum

Location: Delhi, India (Hybrid)

Application closing date: 20th, July 2026

If we receive a high volume of applications, we may close this vacancy earlier than the advertised deadline, so we encourage you to apply as soon as possible.

About the Job

The Senior Data Product Engineer role has a significant impact on the organization by ensuring that our data infrastructure is scalable, secure, and aligned with strategic priorities. This role enables reliable access to high-quality data, supports the development of data products, and improves the organization’s ability to make timely, evidence-based decisions. By strengthening our Azure-based platform (Cotton Cloud), the role reduces data silos, enhances operational efficiency, and lays the technical foundation for future use cases. It also fosters collaboration across functions, drives adoption of data tools, and contributes to a stronger, more mature data culture across the organization.

The Challenge

Looking ahead to 2030, we are targeting reducing GHG emissions from cotton production by half, big cuts in synthetic pesticide use, improve soil health across our network, improve farm income and support women’s empowerment among farmers and farm workers.

As a Senior Data Product Engineer, you will be responsible for:

Responsibilities

1. Design, Develop, and Maintain Data Infrastructure

• Design, build, andmaintainscalable, secure, and efficient data pipelines, storage layers, and system integrations on Azure.

• Develop and optimise data architecture to support current reporting requirements as well as future analytical and business intelligence use cases.

• Ensure the reliability, performance, and maintainability of the organisation’s data platform through robust engineering practices, monitoring, and continuous optimisation.

• Support the development of reusable data products and curated datasets for downstream consumption by analytics and business teams.

2. Technical Leadership, Data Enablement, and Literacy

• Provide technical leadership across the data team byestablishingand promoting engineering standards, development best practices, and scalable design patterns.

• Guide data analysts and other data users on data models, business definitions, and best practices for using data effectively and consistently

• Contribute to building data literacy across the organisation by improving understanding of platform capabilities, data structures, and usage principles.

• Act as a subject matter expert on data platform design and engineering practices, supporting the long-term maturity of the data environment.

3. Stakeholder Collaboration and Solution Design

• Work closely with data analysts, product teams, and business stakeholders to understand data needs and translate them into scalable technical solutions

• Co-create, refine, andmaintainhigh-quality datasets that directly support critical business dashboards, reporting, and analytical tools.

• Partner with stakeholders to define requirements, prioritise data solutions, and ensure that outputs are aligned with businessobjectivesand user needs.

4. Consultant Collaboration

• Act as the primary point of contact for external consultants supporting data platform and product development.

• Oversee consultant deliverables to ensure alignment with internal technical standards, quality expectations, and project timelines.

• Facilitate issue resolution, clarify requirements, and ensure smooth coordination between consultants and internal stakeholders.

5. Platform Visibility and Adoption

• Promote internal awareness and adoption of Cotton Cloud (organisational data warehouse) by supporting onboarding, user guidance, and knowledge-sharing initiatives.

• Contribute to the development of technical documentation, usage guidance, and platform communication materials to improve accessibility and user confidence.

• Support teams in understanding available data assets and how to use them effectively for reporting and decision-making.

6. Governance, Quality, and Compliance

• Ensure the platform adheres to data governance requirements, including data quality, privacy, security, lineage, and access controls

• Implement andmaintaincontrols to improve trust, consistency, and compliance across the data lifecycle.

• Work with relevant stakeholders to ensure data products and infrastructure align with organisational standards and regulatory requirements

7. Continuous Improvement and Innovation

• Identifyopportunities