What Your Day Might Look Like:

Design, build, and maintain data pipelines that serve models, data, and AI workflows to internal and client-facing applications.
Work across database types — relational, vector, and graph — modelling and storing data appropriately for each access pattern, in close collaboration with data scientists.
Build and maintain dbt models — writing transformation logic, tests, and documentation that ensure data quality and traceability end-to-end.
Operate what you build: instrument pipelines with logging, metrics, and tracing; diagnose and resolve production data issues before they become someone else's problem.
Write clean, tested, production-quality code and contribute to CI/CD pipelines and infrastructure-as-code.
Show up to code reviews, design discussions, and retrospectives — and have something worth saying.

Your Superpowers🚀:

3–8 years of experience in data engineering, big data, or related roles.
Strong SQL skills for querying, transformation, performance tuning, and data modeling
Strong Python programming and scripting experience for ETL development, automation, and data processing.
Hands-on experience with Apache Spark and PySpark for large-scale batch or streaming data processing
Experience building and maintaining ETL/ELT pipelines in enterprise or on-premise environments.
Good to have: Familiarity with Python backend API frameworks such as FastAPI, Flask, or Django for internal data services, orchestration endpoints, or platform integrations.
Experience with relational databases and warehouse/lake platforms such as PostgreSQL, Hive, or enterprise data warehouses.
Ability to implement data quality checks, testing, monitoring, and pipeline troubleshooting.

Perks on Perks:

Competitive salary and hybrid work model – come hang out in our Athens office or work remotely from anywhere in European economic Area (EU, Switzerland etc.) or UK (up to 6 weeks per year).
Training budget to level up your skills from the top tech partners in the market (Microsoft, AWS, Salesforce, Databricks etc.) – whether it’s certifications or courses, we’ve got you covered.
Private insurance, top-tier tech gear, and the chance to work with a stellar crew.

Big Data Engineer

Key skills