Architect, build, and maintain ETL/ELT pipelines for ingesting data from diverse systems (e.g., payments systems, marketplaces, SaaS tools)
Set up and manage data platform infrastructure (cloud data warehouses, databases, orchestration tools, etc.)
Work closely with the BI team to understand data requirements and deliver performant, reliable data models and datasets
Monitor pipeline performance and data quality, troubleshooting and resolving issues proactively
Collaborate with Engineering, BI, Product, and Operations teams to deliver data-driven solutions
Stay up to date with the latest data engineering best practices, tools, and technologies

4+ years of experience in data engineering, data platform, or related roles
Proven experience building and maintaining data pipelines with Python and/or PySpark
Strong SQL skills; experience with Redshift or another cloud data warehouse is a plus
Experience with ETL tools (AWS Glue preferred) and orchestrating data workflows
Familiarity with cloud infrastructure (AWS preferred) and related services (e.g., S3, Lambda, SNS, SQS)
Understanding of data modeling, data warehousing concepts, and BI enablement
Experience building systems for data quality, reliability, and monitoring
A collaborative mindset and the ability to work with stakeholders from multiple departments
A passion for enabling analytics and empowering others through data
Previous finance or payments experience is a plus but not required
Familiarity with DataOps principles and tooling is a strong plus
Thoroughness in reviewing and validating work

Competitive full-time salary 💸
Private Family Medical Plan 🏥
Monthly meal allowance 🍽️
Learning and development programs and access to relevant resources 📚
A flexible hybrid model of work
Free Skroutz Plus subscription ➕
Free wellness subscription 🏋️‍♀️
Being part of an environment that gives employees large goals, autonomy, and mentoring, creating incredible opportunities, both for you and the company! 🪴

Data Platform Engineer

Key skills