Software Engineer, Data Products

Overview

Who are Yapily

Yapily is on a mission to enable innovative companies to create better and fairer financial services for everyone, through the power of open banking.

Yapily is an open banking infrastructure platform solving a fundamental problem in financial services today: access. Historically, card networks have monopolised the global movement of money, and banks have monopolised the ownership of, and access to, financial data.

Yapily was founded to challenge these structures and create a global open economy that works for everyone. We exist behind the scenes, securely connecting companies - from growth to enterprise - to thousands of banks worldwide, enabling them to access data and initiate payments through the power of open banking.

As a Java Software Engineer focused on Data Products at Yapily, you will play a key role in designing and implementing our next-generation data systems. You’ll be responsible for developing high-performance data pipelines, billing infrastructure and APIs that power our suite of products – including Reports API, Analytics API and Insights API – ensuring data is reliably processed and securely delivered to our customers.

• Develop & Optimize Data Pipelines:
  Design, build, and maintain scalable data ingestion and processing systems to transform raw data into actionable insights.
• Billing Infrastructure:
  Build and maintain a reliable billing architecture within an event driven environment.
• Data Products:
  Design, develop, and maintain APIs that deliver a seamless data experience for our customers.
• Database Management:
  Work with both SQL and No
  
  SQL databases, optimizing schema designs and queries to support high-volume data transactions.
• Collaborative Problem-Solving:
  Work closely with BI, infrastructure teams, product managers, and cross-functional teams to deliver data-centric solutions that drive business value.
• Quality Assurance:
  Implement robust testing, monitoring, and logging practices to ensure the performance and resilience of data systems.
• Continuous Improvement:
  Engage in code reviews, iterative development, and agile methodologies to continuously enhance product functionality and reliability.

Essential Skills

• 5+ years of hands-on Java development experience in a data-intensive environment.
• Proven experience building and maintaining data pipelines and APIs.
• Strong background in database management, including both SQL/ No
  
  SQL databases.
• Experience designing, implementing, and optimizing ETL/ELT processes for high-volume data environments (millions of requests per day).
• Demonstrated expertise in data modeling and schema design for both operational and analytical systems.
• Experience with data validation, data cleaning, and ensuring data quality throughout the pipeline.
• Proficiency working with REST APIs and microservices architectures.
• Knowledge of stream processing frameworks for real-time data processing.
• Experience with cloud-based data services, particularly on Google Cloud Platform, advantageous
• Familiarity with data orchestration tools and workflow management systems.
• Experience implementing data governance and compliance measures in line with regulations like GDPR and standards like ISO
  27001.
• Background in SaaS, API, or telecommunications environments, with specific expertise in billing systems and usage-based data processing.
• Experience supporting BI tools and data visualization platforms, particularly Looker.
• Knowledge of version control and CI/CD practices for data pipeline deployment.
• Experience monitoring and troubleshooting data pipelines in production environments.
• Understanding of data security best practices and encryption methods for sensitive data.
• Ability to optimiwe data systems for performance, cost, and scalability.

Preferred Skills

• Experience with Python for data processing and automation tasks.
• Knowledge of containerisation technologies (Docker, Kubernetes).
• Experience with IaC (Infrastructure as Code) tools like Terraform.
• Familiarity with event-driven architectures.
• Experience implementing data lineage and metadata management solutions.
• Background in implementing data models for subscription billing, usage-based pricing, or…