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Better Cotton Initiative
Senior Data Product Engineer
Better Cotton Initiative
New Delhi•Hybrid•Salary•7-10 Yrs•Jul 3
Job description
Hybrid
Overview
Starting Date: September 1, 2026
Responsibilities
- Design, Develop, and Maintain Data Infrastructure
- Design, build, and maintain scalable, 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.
- Technical Leadership, Data Enablement, and Literacy
- Provide technical leadership across the data team by establishing and 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.
- 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, and maintain high-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 business objectives and user needs.
- 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.
- 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.
- Governance, Quality, and Compliance
- Ensure the platform adheres to data governance requirements, including data quality, privacy, security, lineage, and access controls
- Implement and maintain controls 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
- Continuous Improvement and Innovation
- Identify opportunities to improve platform performance, engineering efficiency, and overall user experience.
- Evaluate and adopt new tools, approaches, or capabilities that strengthen the data platform and respond to evolving business needs.
- Drive a culture of continuous improvement by recommending enhancements in architecture, tooling, automation, and support processes.
Qualifications
- A degree in Computer Science or a related field (or equivalent work experience).
- At least 7 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.
Benefits
- Hybrid working – Two to three days/week in the offices Delhi.
- 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
- The opportunity to make your mark and make a difference.
- 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)