Senior Data Engineer, Developer
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Job Description
Senior Data Engineer owning Azure data pipelines, integrations, and backend development. Supporting Smart Working’s global teams with financial analysis, automation, and business visibility.
Responsibilities:
- Take end-to-end ownership of business data from concept through production
- Collaborate with two existing developers on deeper application development
- Prioritise payroll data requirements and develop a new invoicing system
- Assess and improve the legacy SQL database and Azure data environment
- Build and maintain data pipelines and integrations across Azure, HubSpot, Xero and Stripe
- Analyse club financial performance and membership utilisation, producing reports and dashboards
- Combine HubSpot and financial data to provide visibility into campaign costs, customer acquisition costs and business costs
- Develop data services, REST APIs and backend functionality
- Maintain and evaluate the Power BI environment and recommend cost-effective alternatives
- Automate manual business processes and data handling using Power Automate or other tools
- Work with the CFO and leadership to translate financial and business requirements into data solutions
- Deliver analysis against business KPIs for financial reporting and decision-making
- Evaluate technical approaches and prioritise pragmatic improvements
- Handle sensitive payroll and financial information confidentially
Requirements:
- Strong SQL and T-SQL expertise, including data modelling and experience improving legacy SQL databases
- Hands-on experience building and maintaining data pipelines and integrations within Microsoft Azure, including Azure SQL, Azure Data Factory and Azure Data Lake Storage
- Commercial backend development experience, including REST API development, system integrations and Git
- Strong Power BI experience, including DAX, Power Query / M, Dataflows and Paginated Reports
- Ability to evaluate Power BI costs, limitations and alternative business intelligence solutions
- Experience automating business processes and data workflows
- Proven ability to translate business and financial requirements into working data engineering solutions
- End-to-end ownership of data engineering requirements from concept through production delivery
- Strong data engineering and backend development capability, suitable for an approximate 75% data engineering and 25% backend development split
- Experience with existing or legacy data environments and pragmatic improvements
- Excellent spoken English communication skills
- Ability to work independently and take initiative
- Collaborative approach to working with a small development team
- Commercial awareness and sound technical judgement
- Trustworthiness and discretion when handling confidential payroll, financial and business information
Benefits:
- Full-time, long-term role
- Remote-first work environment
- Genuine community focused on growth and well-being
- Opportunities for personal and professional growth
- Work with global teams and products
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