Senior Developer, Source to Pay

Jobgether·Lever
IndiaFull-timePosted Jun 29, 2026
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This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Developer, Source to Pay based in India.

This role sits at the intersection of finance transformation and data engineering, focused on building scalable digital solutions that optimize Source-to-Pay processes across global enterprise environments. You will design and implement end-to-end data integration workflows connecting ERP systems, procurement platforms, and finance applications, enabling better visibility, efficiency, and automation. The position combines technical depth in data engineering with a strong understanding of financial and accounting processes. You will collaborate with cross-functional stakeholders to translate business needs into robust technical solutions and deliver impactful dashboards, integrations, and automated workflows. The environment is highly analytical, fast-paced, and focused on continuous improvement of finance operations through technology. It is an opportunity to work on complex, enterprise-scale systems that directly influence financial decision-making and operational efficiency.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Developer, Source to Pay based in India.

This role sits at the intersection of finance transformation and data engineering, focused on building scalable digital solutions that optimize Source-to-Pay processes across global enterprise environments. You will design and implement end-to-end data integration workflows connecting ERP systems, procurement platforms, and finance applications, enabling better visibility, efficiency, and automation. The position combines technical depth in data engineering with a strong understanding of financial and accounting processes. You will collaborate with cross-functional stakeholders to translate business needs into robust technical solutions and deliver impactful dashboards, integrations, and automated workflows. The environment is highly analytical, fast-paced, and focused on continuous improvement of finance operations through technology. It is an opportunity to work on complex, enterprise-scale systems that directly influence financial decision-making and operational efficiency.

Accountabilities:

    • Design and implement data integration solutions connecting ERP systems, procurement platforms, and other enterprise applications
    • Develop scalable ETL workflows for data ingestion, transformation, and delivery across financial and operational datasets
    • Build and maintain automated processes using Python, RPA tools, or low-code platforms to reduce manual effort and improve data quality
    • Collaborate with business and technical stakeholders to gather requirements and translate them into technical architecture and solutions
    • Design and develop dashboards and reports using Power BI, Tableau, or similar tools to enable self-service analytics
    • Conduct testing and validation of data pipelines, integrations, and analytics solutions to ensure accuracy and performance
    • Support deployment, version control, documentation, and maintenance of digital finance solutions across environments
    • Monitor and optimize existing systems to improve efficiency, scalability, and user experience
    • Contribute to continuous improvement initiatives across Source-to-Pay processes and digital finance transformation
    • Requirements:

      • Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, Finance, or related field
      • 4+ years of experience in finance transformation, consulting, data engineering, or related roles
      • Strong understanding of finance and accounting concepts along with ERP systems
      • Hands-on experience with ETL development and programming languages such as Python, SQL, R, or SAS
      • Experience with data integration tools such as Alteryx, Azure Data Factory, or Microsoft Fabric
      • Certified in Microsoft Fabric (preferred or required depending on profile)
      • Strong experience in dashboarding tools such as Power BI or Tableau
      • Ability to analyze complex business requirements and translate them into technical solutions
      • Strong communication skills with ability to present insights and solutions to technical and executive audiences
      • Ability to manage multiple priorities and deliver in fast-paced consulting or client-facing environments
      • Experience mentoring junior team members is a plus
      • Strong problem-solving mindset with attention to detail and structured thinking
      • Benefits:

        • Competitive compensation aligned with experience and industry benchmarks (₹28–39 LPA range)
        • Performance-based bonus eligibility
        • Fully remote work with structured IST working hours
        • Employment through a global Employer of Record (DEEL) with compliant payroll and benefits management
        • Opportunity to work on global finance transformation and Source-to-Pay modernization programs
        • Exposure to enterprise-scale ERP and analytics ecosystems
        • Strong career development in digital finance, data engineering, and consulting domains
        • Collaborative, high-performance consulting environment with continuous learning opportunities
How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1

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