Senior Data Engineer, Developer

Smart Working

. Take end-to-end ownership of business data from concept through production .

Posted 11/3/2026full-timeRemote • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong expertise in SQL and T-SQL for data modeling and legacy database improvement, alongside hands-on experience in building data pipelines and integrations within Microsoft Azure. Capable of translating business and financial requirements into effective data engineering solutions while maintaining confidentiality and trustworthiness.

Highest-signal resume keywords

SQL ExpertiseAzure Data Pipeline DevelopmentREST API DevelopmentPower BI ProficiencyData Engineering Solutions

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLT-SQLData ModelingAzure SQLAzure Data FactoryAzure Data Lake StorageREST API DevelopmentDAXPower QueryDataflows

Soft Skills

Excellent Communication SkillsAbility to Work IndependentlyCollaborative ApproachCommercial AwarenessTrustworthiness

Tools & Technologies

Power BIHubSpotXeroStripePower AutomateGit

Industry Keywords

Data EngineeringFinancial ReportingBusiness IntelligenceData IntegrationPayroll Data Management

Tech Stack

Tools & technologies

AzureSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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