Yapily is on a mission to enable innovative companies to create better and fairer financial services for everyone, through the power of open banking. Within this mission, our finance team plays a pivotal role in fostering Yapily's expansion while ensuring financial well-being. Renowned for our ability to tackle numerous responsibilities with aplomb while fostering a dynamic and enjoyable team culture, we are now looking for a skilled Management Accountant to join our ranks and contribute to our ongoing success. As a Data Platform Engineer (Infrastructure & Integrations) at Yapily, you will contribute to the architecture, design, and scaling of our modern, next-generation data platform. This is a mid-to-senior level role perfect for an experienced engineer who thrives at the intersection of core data infrastructure and complex FinTech ecosystem integrations. You will own the evolution of our high-performance data pipelines, ledger reporting, and critical business system integrations. This role offers a front-row seat to evolving Yapily's GCP (Google Cloud Platform) and Databricks stack, empowering our engineering and finance teams to transform raw transactional data into highly secure, compliant, and actionable value. Requirements As a Data Platform Engineer, you will be responsible for:
Data Lake & Databricks Architecture: Lead the end-to-end implementation and optimization of Databricks Pipelines for our big data processing needs
Drive the Proof of Concept (POC) and full implementation of our corporate Transaction Fraud Monitoring Tool, ensuring automated flows across systems
Salesforce & Ecosystem Engineering:



Architect and build production-grade, secure connectors from Salesforce to the Transaction Monitoring tool, and lead the integration of our Know Your Business (KYB) tools directly into Salesforce to automate onboarding
Treasury & Finance Automation: Own the technical integration between our corporate Treasury systems and core Finance tools to streamline automated cash positioning and financial reconciliations
Design and maintain scalable, high-fidelity data pipelines to power Ledger and Activity Reporting within an event-driven architecture
Database & Cloud Operations: Manage high-volume financial data utilizing SQL, NoSQL, and GCP services (such as Pub/Sub, PostgreSQL, BigQuery, and Cloud Storage), ensuring optimal schema design and cost-efficient query performance
Platform Quality & Infrastructure as Code (IaC): Maintain rigorous monitoring, logging, and testing frameworks while utilizing tools like Terraform/Terragrunt/Harness to ensure infrastructure flexibility and resilience
Core Data Engineering Experience: 3+ years of professional experience building and scaling data platform infrastructure, ideally within an enterprise or fast-growing startup environment
Big Data Ecosystems:



Production-grade experience implementing and managing Databricks/BigQuery or Apache Spark environments
Hands‑on experience integrating with major business SaaS platforms (specifically Salesforce) is highly valuable
Advanced Languages & Querying: Proficiency in Java/Python (for data automation and scripting) and advanced SQL (for schema optimization and complex financial ledger querying)
Cloud Infrastructure: Proven experience working inside a major cloud provider ecosystem, ideally GCP (BigQuery, Pub/Sub, Cloud Storage) or equivalent AWS/Azure components
Problem‑Solving & Autonomy: An architectural mindset with the ability to independently evaluate vendor tools, build robust POCs, and own technical roadmaps from conception to deployment
Compliance Tooling Experience: Previous exposure to financial compliance systems, including Transaction Monitoring, AML, or KYC/KYB workflows
Infrastructure as Code: Experience provisioning data infrastructure using Terraform/Terragrunt
Strong knowledge of Docker and managing containerized applications in production kubernetes environments. You have proven experience as a Data Platform Engineer or similar role, preferably in a SAAS or technology‑driven environment
You are focussed on quality and attention to detail.
You have strong attention to detail and analytical skills, with the ability to interpret complex financial data and communicate insights effectively
Strong proficiency in Microsoft Excel
23 days holiday a year (plus

📌 Senior Data Architect (Málaga)
🏢 Yapily
📍 Málaga