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Satori Analytics

AI-powered decision analytics for enterprises

Data Engineer

Data EngineeringPosted on Nov 12
Full-timeAthens, GreeceNo salary listed

About the Job

Requirements

  • A BSc or MSc degree in Computer Science, Software Engineering, Data Science, or any relevant field.
  • At least 3 years of experience designing and building scalable data platforms and distributed data-processing solutions.
  • Expertise with modern data engineering technologies, including Spark, Kafka, Hadoop ecosystem tools, cloud-native data services, and large-scale processing frameworks.
  • Proficiency in one or more of Python, Java, Scala, or SQL.
  • Understanding of data modelling, ETL/ELT design patterns, data architecture, and data lifecycle management, with a track record of building pipelines for analytics, reporting, machine learning, and operational data products.
  • Hands-on experience delivering on cloud platforms such as Databricks, AWS, Azure, or GCP.
  • Understanding of data governance, security, privacy, lineage, metadata management, and regulatory compliance.
  • Experience with CI/CD, DevOps automation, infrastructure-as-code, and observability frameworks.
  • Ability to diagnose complex issues in distributed environments and balance technical excellence with business priorities.

Responsibilities

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

About the Company

Satori Analytics

AI-powered decision analytics for enterprises

Satori Analytics creates data and AI solutions that help organizations make better decisions. It develops and deploys enterprise-grade AI systems that integrate data pipelines, analytics, and machine learning models into clients’ operations so managers can gain clear, data-backed insights. Unlike firms that only talk about AI, Satori emphasizes delivering production-ready AI solutions across industries such as Energy, Financial Services, Consumer Goods, Manufacturing, and Government, with deployments in more than 15 countries and 100+ production-grade AI solutions. The company differentiates itself through its track record of real deployments and its focus on practical impact rather than theoretical capabilities. Its goal is to provide clarity in decision making by making AI-driven insights readily usable for business leaders and operators.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
London, United Kingdom
Founded
2014

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