Senior Data 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: ASAP

Contract type: Full-time and open-ended

Salary: Delhi – 2,100,000 - 2,700,000 INR (Depends upon experience)

Location: Delhi, India (Hybrid)

Application closing date: 30th September 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.

Responsibilities

We are seeking a motivated Senior Data Engineer to join our ITOS Function. In this role, you will be responsible for.

• Design, Develop, and Maintain Data Infrastructure
  Build and maintain scalable, secure, and efficient data pipelines, storage layers, and integrations on Azure. Ensure the platform can support both current reporting needs and future analytical use cases.

• Technical leadership, Data enablement & Literacy:
  Provide technical direction and establish engineering best practices across the data team. Educate data analysts and other data consumers on data models, definitions, and usage best practices to maximize the value extracted from organizational data

• Stakeholder Collaboration and Solution Design
  Work closely with data analysts, product teams, and business stakeholders to understand data needs, co-create and refine high-quality datasets that directly power critical business dashboards and analytical tools

• Consultant collaboration: Act as primary point of contact for external consultants, overseeing project development, ensuring adherence to technical standards, and facilitating timely issue resolution

• Platform Visibility and Adoption
  Promote internal awareness and usage of Cotton Cloud by supporting onboarding, documentation, and knowledge-sharing initiatives.

• Governance, Quality, and Compliance
  Ensure the platform adheres to data governance standards, including security, privacy, data quality, and access controls.

• Continuous Improvement and Innovation
  Identify opportunities to improve system performance, adopt new tools, or enhance platform capabilities to meet evolving business needs.

Experience

Education & Experience:

• A degree in Computer Science or a related field (or equivalent work experience).

• At least 3 years of relevant data engineering experience.

• Proficiency in ETL, SQL, and a programming language such as Java, C#, or C++.

• Hands-on experience with Azure Data Factory, GitHub CI/CD, and relational/NoSQL databases.

• A track record of building and delivering data solutions on Azure.

• Understanding of BI tools and practices, and ideally experience with Power BI and Salesforce.

Skills & Competencies (Outcome-Driven)

• Data-Driven Decision-Making: Uses analytics to optimise workflows and improve efficiency.

• Process Improvement: Identifies gaps and implements solutions that enhance performance.

• Effective Communication: Tailors messages to engage, inform, and influence varied audiences.

• Change Agility: Responds proactively to shifting needs and organisational change.

• Collaborative Working: Partners across functions and geographies to deliver results.

• Inclusive Leadership: Cultivates an environment where diverse perspectives are encouraged and respected.

Technical competencies (Role-Specific, Outcome-Linked)

1. Advanced Cloud Data Engineering (Azure)

• Expertise: Deep knowledge of Azure services such as Data Factory, Data Lake, Synapse Analytics, Azure SQL, and monitoring tools.

• Contribution to Results: Enables the design of scalable, reliable, and secure data pipelines that support operational reporting and advanced analytics.

2. Data Modeling & Pipeline Development

• Expertise: Proficiency in data modeling (dimensional and normalized), ELT processes, and performance optimization.

• Contribution to Results: Delivers clean, structured, high-performance datasets that reduce time to insight and improve decision-making quality.

3. Programming and Automation

• Expertise: Strong skills in SQL, Python or PySpark, and infrastructure-as-code tools (e.g., Terraform, Bicep).