Not specified
Senior Data Engineer / Developer
- Location
- India
- Work type
- Remote · Full-time
- Salary
- Not listed
- Posted
- (3 days ago)
About the role
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Senior Data Engineer / Developer based in India.
We are looking for an experienced Senior Data Engineer / Developer to take end-to-end ownership of data engineering and backend development across a growing business environment. In this hands-on senior role, you will dedicate approximately 75% of your time to data engineering and 25% to backend development, building scalable solutions that improve business operations and financial visibility. You will work extensively with Microsoft Azure, SQL databases, data pipelines, and integrations across financial and CRM platforms. Collaborating closely with the CFO, leadership team, and existing developers, you will translate complex business requirements into practical, production-ready technical solutions. A key focus will be automating manual financial processes, improving data infrastructure, and developing reliable reporting and analytical capabilities. This is an opportunity to work autonomously, influence technical decisions, and deliver measurable business value within a collaborative, remote-first environment.
Accountabilities:
Requirements:
Strong professional experience in data engineering, with additional hands-on backend development capabilities. Advanced proficiency in SQL and T-SQL, including database design, data modeling, query optimization, and the assessment and improvement of legacy SQL databases. Practical experience designing, developing, and maintaining data pipelines and integrations within Microsoft Azure. Strong knowledge of Azure data services, particularly Azure SQL, Azure Data Factory, and Azure Data Lake Storage. Commercial backend development experience, including REST API development, system integrations, application functionality, and Git-based version control. Extensive experience with Power BI, including DAX, Power Query (M), Dataflows, and Paginated Reports. Ability to assess business intelligence platforms objectively, evaluate licensing costs and technical limitations, and recommend alternative reporting solutions when appropriate. Experience designing and implementing business process automation and data workflow solutions using Power Automate or comparable technologies. Demonstrated ability to translate complex business and financial requirements into practical, reliable, and production-ready data engineering solutions. Proven experience taking end-to-end ownership of data projects, from requirements gathering and technical design through development, deployment, and ongoing maintenance. Strong data engineering expertise combined with genuine backend development experience, suitable for a role comprising approximately 75% data engineering and 25% backend development. Experience working with existing or legacy data environments, identifying technical limitations, and implementing cost-effective improvements without unnecessary complexity. Excellent spoken and written English communication skills, with the ability to explain technical concepts, financial data, and project outcomes clearly to the CFO and senior leadership. Strong analytical and problem-solving abilities, with the confidence to work independently, take initiative, and make sound technical decisions. Ability to collaborate effectively with a small development team while maintaining accountability for individual projects and deliverables. Strong commercial awareness and a practical mindset, particularly when evaluating technology investments, operational efficiency, and cost-effective solutions. High levels of integrity, discretion, and professionalism when managing confidential payroll, financial, and business information.Nice-to-have qualifications:
Experience working with financial systems and processes, including payroll management, invoicing, billing automation, Xero, or Stripe. Knowledge of financial modeling, forecasting, and financial performance analysis. Experience with .NET development and Azure-based application development. Familiarity with HubSpot data, marketing expenditure analysis, customer acquisition cost calculations, and marketing attribution. Experience with Metabase or other business intelligence and reporting platforms. Practical experience using Fivetran for data integration and pipeline management.