Senior Data Engineer, Developer

This is a fully remote position, open to applicants in India.

📋 Description

• Assume complete responsibility for business data from inception through to production.

• Partner with two current developers to enhance application development.

• Prioritize payroll data needs and create a new invoicing system.

• Evaluate and enhance the existing SQL database and Azure data infrastructure.

• Construct and sustain data pipelines and integrations across Azure, HubSpot, Xero, and Stripe.

• Analyze the financial performance of the club and membership usage, generating reports and dashboards.

• Integrate HubSpot and financial data to give insights into campaign expenses, customer acquisition costs, and overall business expenditures.

• Create data services, REST APIs, and backend functionalities.

• Oversee and assess the Power BI environment, suggesting cost-effective alternatives.

• Streamline manual business processes and data management utilizing Power Automate or similar tools.

• Collaborate with the CFO and leadership to convert financial and business needs into data-driven solutions.

• Provide analysis aligned with business KPIs for financial reporting and decision-making.

• Review technical strategies and prioritize practical enhancements.

• Manage sensitive payroll and financial data with confidentiality.

⛳️ Requirements

• Proficient in SQL and T-SQL, with expertise in data modeling and upgrading legacy SQL databases.

• Practical experience in building and maintaining data pipelines and integrations within Microsoft Azure, including Azure SQL, Azure Data Factory, and Azure Data Lake Storage.

• Background in commercial backend development, encompassing REST API creation, system integrations, and Git.

• In-depth knowledge of Power BI, including DAX, Power Query/M, Dataflows, and Paginated Reports.

• Capability to assess Power BI costs, limitations, and alternative business intelligence solutions.

• Experience in automating business procedures and data workflows.

• Demonstrated ability to convert business and financial needs into effective data engineering solutions.

• Full ownership of data engineering tasks from conceptualization through to production delivery.

• Strong data engineering and backend development skills, with an approximate division of 75% data engineering and 25% backend development.

• Familiarity with existing or legacy data environments and practical enhancements.

• Excellent communication skills in spoken English.

• Ability to work autonomously and take initiative.

• Collaborative mindset when working with a small development team.

• Commercial insight and sound technical judgment.

• Trustworthiness and discretion in managing confidential payroll, financial, and business information.

🏝️ Benefits

• Full-time, long-term employment.

• Remote-first working environment.

• A genuine community dedicated to growth and well-being.

• Opportunities for both personal and professional advancement.

• Collaborate with global teams and products.