Senior Data Engineer
Better Cotton Initiative
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Benefits offered by this job
Job summary
Better Cotton Initiative in Delhi seeks a Senior Data Product Engineer to scale our Cotton Cloud data platform on Azure, ensuring secure, accessible data for dashboards and advanced analytics. This role collaborates across functions to reduce data silos and drive data culture.
You will lead data pipelines, governance, and tooling, mentor analysts, and partner with consultants. The position is hybrid with travel optional and a focus on delivering reliable data products for strategic decisions.
Qualifications
- Degree in Computer Science or related field.
- 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.
- Track record of building and delivering data solutions on Azure.
- Understanding of BI tools and practices, and ideally experience with Power BI and Salesforce.
Responsibilities
- 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.
Skills
Education
Tools
Job description
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.
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.
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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Programming and Automation
- Expertise: Strong skills in SQL, Python or PySpark, and infrastructure-as-code tools (e.g., Terraform, Bicep).
- Contribution to Results: Automates data workflows and infrastructure provisioning, improving reliability, reproducibility, and efficiency.
- Data Governance and Security Awareness
- Expertise: Understanding of data privacy, security, access control, and compliance principles.
- Contribution to Results: Ensures platform compliance with governance standards, reducing risk and supporting responsible data use.
- Stakeholder Collaboration
- Expertise: Ability to engage with cross-functional teams and translate business needs into technical solutions.
- Contribution to Results: Aligns platform development with real-world use cases, increasing data adoption and user satisfaction.
- Hybrid working – One week in six weeks in the Delhi office
- The opportunity to work from anywhere in the world for up to one month per year
- Flexible working, with core hours from 10 am to 4 pm local time
- Continuous learning and development
- A generous annual leave package, including paid holiday, public holidays, additional paid days off during the festive season, study and exam days, and extra discretionary leave for life events such as family weddings or moving home
- Enhanced parental benefits
- The opportunity to make your mark and make a difference.
The position is full-time (40 hours per week) and will be based in Delhi. Better Cotton Initiative offers flexible working, with core hours being 10 am – 4 pm. The position may require limited international travel.
Better Cotton Initiative does not use artificial intelligence or in its hiring process. Every application is reviewed by our Talent Acquisition team and relevant hiring managers to ensure a fair and human-led assessment experience.
Applicant screening is a crucial step in our recruitment process. This stage may involve a brief phone interview or video call to evaluate your suitability for the position. During this screening, we review resumes and cover letters, and may conduct initial background checks to narrow down the pool of applicant. Internal candidates are encouraged to inform their line manager about their application to promote transparency and help facilitate a smooth transition if selected.
If you successfully pass the initial screening, you will be invited for interviews. The interview process at Better Cotton Initiative may include one or more rounds of interviews with various stakeholders, such as the hiring manager, team members, and potentially senior management. As an internal candidate, you may have discussions regarding your current responsibilities and how they will transition to the new position.
Depending on the role, you might be required to complete assessments, technical tests, or skills evaluations to gauge your competency and suitability for the position. Internal candidates may have the option to demonstrate their existing skills through current job performance or past project outcomes.
Once you progress further in the process, reference checks are conducted to validate your work history, skills, and qualifications, and for some roles, your education and criminal history. Internal candidates may be asked for references from current or previous supervisors within Better Cotton Initiative to provide insights into their performance and capabilities.
After completing interviews, assessments, and reference checks, the hiring team evaluates your performance and fit for the role. If you are selected and your references are relevant and satisfactory, you will receive a formal job offer letter outlining the terms of employment, compensation, benefits, and any other relevant details. For internal candidates, the offer process may include a discussion about how your transition to the new role will be managed and any support needed for a smooth handover.
Better Cotton Initiative is aglobal not-for-profit organisationsupporting theproduction of moreequitableandsustainable cotton at farmlevel. We exist to catalise the cotton farming communitywithpartners,governments and others to continuously drive positive impact by setting standards and facilitating the supply and demand of more sustainable cotton from farm tobrand. 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.
- 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)
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.
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