Data Software Engineer

About EveryPay

At EveryPay, we are on a mission to build the digital financial infrastructure that underpins e-commerce in Greece, empowering Marketplaces and Merchants to thrive.

We are a team of enthusiastic young people, driven by our values to Empower Customers, work as a Team Together, Manage Risk, and Get Stuff Done.

We are proud to have built the payments layer connecting most Greek Marketplaces and Merchants with world-class schemes like Visa and MasterCard. We service most Greek Marketplaces, including Greece's largest and most successful marketplace: Skroutz.

Our systems connect to thousands of banks, in Greece and abroad. Our tech processes tens of thousands of transactions every day – that's €billions worth of e-commerce. If you have bought something online in Greece, chances are you have already used our payments product.

EveryPay is fully owned by the Skroutz Group of Companies and is both a Tech Company and a Regulated Financial Services Institution. Therefore, you will be exposed to the world of the Tech Payments Sector and that of Financial Services.

How you will contribute to EveryPay's vision:

We are expanding our Data Platform team and seeking a talented Data Software Engineer!

As a Data Software Engineer, you will be responsible for designing, building, and maintaining the core data platform that powers analytics and business intelligence at EveryPay. You will focus on developing robust data ingestion pipelines, setting up scalable data infrastructure, and enabling our BI team to unlock actionable insights from data. Your work will ensure that high-quality, reliable data is readily available to stakeholders across the company.

This is a hybrid role at the intersection of data engineering, backend services, and platform operations: you will build the data pipelines and infrastructure, develop web services that expose regulatory data to external systems, and own the DevOps discipline around reliability and observability.

Key Challenges:

• Data Ingestion at Scale: Design and implement scalable, reliable data ingestion pipelines that process data from a variety of internal and external sources.
• Platform Enablement: Build, operate, and optimize our data platform to empower BI and analytics teams to explore, analyze, and visualize data with ease.
• Data Quality & Governance: Establish and enforce best practices for data quality, lineage, and governance to ensure trustworthiness and compliance.