Evergreen Finance
51 - 200 employees
Founded 2014
💸 Finance
💳 Fintech
👥 B2C
Finance • Fintech • B2C
Evergreen Finance is a UK-based direct short-term lender trading as Moneyboat that provides fast, online short-term and payday-style loans (£200–£1,500) to consumers. The company offers quick applications, e-sign agreements and rapid funding (claims of payments within minutes), markets itself as a responsible, FCA-authorised lender, and considers applicants with poor credit while performing affordability and credit checks. Its products focus on emergency and unexpected cost coverage with transparent terms, relatively high APRs typical of short-term credit, and customer support based in the UK.
Senior Data Engineer
🔥 0 minutes ago
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Evergreen Finance
51 - 200 employees
Founded 2014
💸 Finance
💳 Fintech
👥 B2C
Finance • Fintech • B2C
Evergreen Finance is a UK-based direct short-term lender trading as Moneyboat that provides fast, online short-term and payday-style loans (£200–£1,500) to consumers. The company offers quick applications, e-sign agreements and rapid funding (claims of payments within minutes), markets itself as a responsible, FCA-authorised lender, and considers applicants with poor credit while performing affordability and credit checks. Its products focus on emergency and unexpected cost coverage with transparent terms, relatively high APRs typical of short-term credit, and customer support based in the UK.
📋 Description
• Design, build, and maintain scalable backend services and robust data pipelines. • Lead the architecture and implementation of our new company-wide data warehouse. • Build data models and partitioning strategies to ensure efficient querying and performance at scale. • Collaborate with analytics, IT engineering, and business teams to define and deliver high-quality data and backend solutions. • Maintain and optimize database systems, primarily BigQuery ensuring data integrity and high availability. • Build reliable ETL/ELT processes using modern orchestration frameworks. • Implement best practices around code quality, architecture, data governance, and operational excellence. • Drive observability, monitoring, and optimization of backend and data services.
🎯 Requirements
• Experience with cloud environments (GCP, AWS) and cloud-native data services. • Proven experience in designing and building data warehouses (cloud-based or on-premises). • Expertise with BigQuery and strong SQL skills for performance optimization and data modeling. • Understanding of structured data sources such as MySQL and handling semi-structured data including web-traffic data e.g Google Analytics. • Experience in designing and building scalable data pipelines (ETL/ELT) using Dataform or DBT. • Knowledge of data partitioning strategies for handling large datasets. • Solid understanding of best practices in software and data engineering (unit testing, version control, CI/CD pipelines). • Strong analytical and problem-solving skills. • Experience of working collaboratively with key stakeholders.
🏖️ Benefits
• Time-off on Birthday • Gym benefits • Childcare benefits • Health cash plan • Aviva pension • Professional subscription benefits
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