Big Data Engineer

Are you passionate about AI? 🤖

At Satori Analytics, we aim to change the world one algorithm at a time by bringing clarity to global brands through Data & AI. From cloud-based ecosystems for fintech to predictive models for airlines, our cutting-edge solutions cover the entire data lifecycle—from ingestion to AI applications.

As a fast-growing scale-up, our team of 100+ tech specialists—including Data Engineers, Data Scientists, and more—delivers innovative analytics solutions across industries like FMCG, retail, manufacturing and FSI. Join us as we lead the data revolution in South-Eastern Europe and beyond!

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.

Requirements

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.

Benefits

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.