Senior Data Engineer / Developer

Accountabilities:: End-to-End Data Engineering Ownership: Take primary responsibility for the organization's data environment, managing requirements from initial discovery and solution design through implementation, deployment, and production support. Assess existing data infrastructure, including legacy SQL databases and the broader Azure environment, identifying opportunities to improve performance, reliability, scalability, and cost efficiency. Build, maintain, and optimize data pipelines and integrations across Microsoft Azure, HubSpot, Xero, and Stripe. Develop effective data models and ensure the accuracy, consistency, accessibility, and integrity of business-critical information. Make pragmatic technical decisions, prioritizing improvements to existing systems over unnecessary platform replacements or complete rebuilds. Financial Data and Business Process Automation: Prioritize payroll-related data requirements and develop an automated invoicing system to replace existing manual processes. Collaborate closely with the CFO to understand financial operations, reporting requirements, and business priorities. Analyze club financial performance, membership utilization, and operational metrics, producing meaningful reports for individual clubs and internal stakeholders. Integrate CRM and financial information to provide visibility into campaign expenditure, customer acquisition costs, and overall business costs. Deliver actionable analysis against established business KPIs to support financial planning, operational efficiency, and management decision-making. Automate repetitive business processes and data workflows using Power Automate or other suitable technologies. Handle sensitive payroll, financial, and commercial information with the highest standards of confidentiality and data protection. Backend Development and System Integration: Dedicate approximately 25% of the role to backend development, building data services, REST APIs, and application functionality. Develop and maintain integrations that connect internal applications with external platforms and business systems. Collaborate with two existing developers when more extensive application development or technical implementation is required. Use appropriate development practices, including version control and Git, to ensure maintainable and reliable software delivery. Business Intelligence and Reporting: Maintain and improve the existing Power BI environment, ensuring reporting solutions remain effective and aligned with business requirements. Develop and optimize dashboards, financial reports, dataflows, and analytical models. Evaluate Power BI licensing costs, technical limitations, and reporting capabilities, recommending alternative business intelligence tools when they offer better value. Translate financial and operational requirements into clear reporting solutions that improve business visibility and support informed decisions. Stakeholder Collaboration and Technical Delivery: Work closely with the CFO and senior leadership to understand business challenges and translate them into practical data engineering solutions. Take independent ownership of technical priorities and deliver solutions from concept to production without requiring extensive specifications or supervision. Communicate technical decisions, progress, and potential challenges clearly to both technical and non-technical stakeholders. Balance immediate business needs with longer-term improvements to the data architecture and application environment. 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. Benefits: Fully remote working arrangement, offering flexibility to work from India. Full-time opportunity within an international, remote-first professional environment. Opportunity to take ownership of the company's data infrastructure and influence technical direction. Significant autonomy in managing projects, selecting technologies, and implementing practical engineering solutions. Direct collaboration with the CFO and senior leadership, providing exposure to financial operations and strategic business decisions. Opportunity to work with modern cloud technologies, including Microsoft Azure, SQL, Power BI, and business application integrations. Exposure to a diverse technical environment involving data engineering, backend development, financial systems, and business process automation. Opportunity to make a measurable impact by improving operational efficiency, automating manual processes, and strengthening financial visibility. Collaboration with an established development team while maintaining independent ownership of key deliverables. Opportunities for continuous learning, technical development, and professional growth.