Description
No description provided.
Responsibilities
•Support and develop the in-house data enrichment solution built on event sourcing
•Build production-ready data marts using Airflow, dbt, and ClickHouse Materialized Views
•Implement data quality checks for Airflow DAGs and ClickHouse MVs
•Automate repetitive tasks and establish Data Engineering best practices and standards
•Write and maintain technical documentation
Requirements
•3+ years of experience in data engineering
•Strong SQL, including complex analytical queries and query optimization
•Strong Python fundamentals and hands-on experience with data engineering libraries such as pandas, SQLAlchemy, and PySpark
•Software engineering background, including production-grade Python, OOP, application architecture, testing, Git, and CI/CD
•Hands-on experience building and maintaining Airflow DAGs
•Experience with dbt models, tests, and macros
•ClickHouse experience with table engines, Materialized Views, and performance tuning
•Kafka experience with producers, consumers, topics, partitioning, and delivery guarantees
•Experience with data quality tools such as dbt tests, Great Expectations, or Soda
•Solution-oriented mindset and ownership of results
Conditions
•High salary, performance bonuses, and salary revision
•Work schedule: Monday–Friday, 9 hours with a 1-hour lunch break; flexible start between 8:00 and 10:00
•24 days of holiday leave
•First-line sea view from the office
•Corporate English and Greek lessons
•Gym and spa in the office
•Corporate meals
•Eventful corporate life
•Exciting work challenges that support professional growth
•A supportive team of like-minded professionals working on ambitious projects and supporting professional development
