Senior Data Engineer

🕒 July 31

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Evergreen Finance

WebsiteLinkedInAll Job Openings

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 Implement BigQuery cost-optimisation initiatives. • Support regulatory reporting requirements through gold-layer transformations and export mechanisms. • Document architecture, pipelines, and key decisions.

🎯 Requirements

• Experience with cloud environments (GCP, AWS) • 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) • Focus on clean, maintainable code with strong architectural foundation, and clear data lineage • 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