About the job
About EveryPay
At EveryPay, we are committed to establishing the digital financial infrastructure that powers e-commerce in Greece, enabling Marketplaces and Merchants to flourish.
Our vibrant team is composed of passionate individuals who are guided by our core values: Empowering Customers, Collaborating as a Team, Managing Risks, and Delivering Results. We take pride in creating a payments layer that connects most Greek Marketplaces and Merchants with top-tier payment systems such as Visa and MasterCard. Our services extend to Greece’s largest and most successful marketplace, Skroutz.
Our technology interfaces with thousands of banks, both locally and internationally, processing tens of thousands of transactions daily, amounting to billions of euros in e-commerce. If you've made an online purchase in Greece, you've likely utilized our payment solutions.
EveryPay is a proud member of the Skroutz Group of Companies, functioning as both a tech innovator and a regulated financial services provider. This dual role immerses you in the dynamic worlds of Tech and Financial Services.
Your Role in EveryPay's Vision:
We are enhancing our Data & Analytics capabilities and are on the lookout for an exceptional Analytics Engineer to join us!
In this role, you will construct the data layer that facilitates informed decision-making. Your responsibilities will include transforming data into analytical-ready datasets, developing analytical data models, ensuring data integrity, and providing access via dashboards. Your contributions will be vital in structuring our data assets and establishing a solid foundation for future analytics as our organization grows.
Key Challenges:
- Scale: Maintain the performance and efficiency of data transformations and structures as data volumes and global utilization increase.
- Breadth: Integrate and organize data from new products to enable comprehensive performance analysis.
- Depth: Enhance existing analytical data structures and transformation logic for improved effectiveness and maintainability.
Your Responsibilities Will Include:
- Designing and implementing ELT data transformations within our Data Warehouse using SQL and Python, emphasizing data accuracy and detail.
- Ensuring data quality by implementing checks and validations for analytical datasets.
- Collaborating with business stakeholders to grasp their reporting needs and data requirements.
- Creating dashboards and reports using our Business Intelligence tools.
- Implementing analytical data models in the data warehouse.
- Gaining insights into the payments domain and working collaboratively within your team.
Our Technology Stack:
Redshift / Spark / Python / MariaDB / MongoDB / Glue / Metabase

