Data Engineer job opportunity at Satori Analytics.

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Date2026-02-19T16:43:38.489Z bot
Satori Analytics Data Engineer
Experience: 3-years
Pattern: Full-time
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loacation Athens, Greece
loacation Athens....Greece

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. 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.

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