Data Engineer

At Satori Analytics, we aim to change the world one algorithm at a time by bringing clarity to global brands thought 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:

• Independently design and maintain scalable ETL pipelines within a collaborative project team, delivering clean, analytics- and AI-ready data.
• Work with SQL, Python, PySpark and tools like MS Fabric, Azure Data Factory, Databricks, Snowflake to develop, optimize, and automate data processes.
• Design robust ETL, scalable data models and optimised design patterns for analytics and BI workloads.
• Ensure data quality and data governance through automated checks, monitoring, source to target mapping, data lineage and continuous improvements.
• Collaborate with cross-functional teams to understand data requirements, business semantics and deliver high-quality solutions.
• Troubleshoot, optimize, and support production pipelines to keep data flowing smoothly.
• Use Git and Agile practices to work effectively in collaborative, iterative projects.

Requirements

Your Superpowers 🚀

• BSc or MSc in Computer Science, Engineering, or similar.
• Strong SQL, Python and/or PySpark skills.
• Solid professional experience developing ETL pipelines (e.g. Azure Data Factory, Databricks, etc.) and modern data warehouses (e.g. MS Fabric or Databricks delta lakehouse, Snowflake, etc).
• Solid professional experience working with relational and NoSQL databases and systems (MS SQL Server, PostgresSQL, MongoDB, etc).
• Strong understanding of data modelling and design patterns (star-schema, data vault, SCD).
• Basic knowledge of cloud platforms (Azure, AWS, or GCP).
• Basic knowledge of visualization tools (Power BI, Tableau, Looker, etc.).
• Understanding of Agile practices and version control systems (GitHub, Azure DevOps).
• Strong problem-solving skills, eagerness to learn, collaborative spirit, customer facing skills.
• Fluent in English, both written and spoken.

Bonus Points For:

• 3+ years’ experience in hands-on data engineering.
• Understanding of AI concepts and architectures.
• Experience with enterprise platforms like Salesforce, SAP or Entersoft.
• Familiarity with no-code/low-code ETL tools such as Airflow, dbt, Matillion, Fivetran, etc.
• Advanced knowledge of PowerBI, Tableau, Qlik, etc.
• Exposure to Java or Scala, and OO/functional programming concepts.

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.
• Private insurance, top-tier tech gear, and the chance to work with a stellar crew.

Ready to create some data magic with us? Hit that apply button and let’s get started.