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Satori Analytics

AI-powered decision analytics for enterprises

Senior Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeAthens, GreeceNo salary listed

About the Job

Requirements

  • A BSc or MSc degree in Computer Science, Software Engineering, Data Science, or a relevant field is required.
  • At least 5 years of experience designing and building scalable data platforms and distributed data-processing solutions is required.
  • Expertise across modern data engineering technologies, including Spark, Kafka, Hadoop ecosystem tools, cloud-native data services, and large-scale processing frameworks is required.
  • Proficiency in one or more of Python, Java, Scala, or SQL is required.
  • A deep 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, is required.
  • Hands-on experience delivering on cloud platforms such as Databricks, AWS, Azure, or GCP is required.
  • A solid grasp of data governance, security, privacy, lineage, metadata management, and regulatory compliance is required.
  • Experience with CI/CD, DevOps automation, infrastructure-as-code, and observability frameworks is required.
  • Experience leading technical initiatives, influencing architecture, and mentoring engineers is required.
  • Strong stakeholder communication across engineering, product, analytics, and business teams is required.

Responsibilities

  • Design, deploy, and maintain scalable batch, streaming, and real-time data pipelines for business-critical marketing products and analytics workloads.
  • Develop reusable frameworks and services for ingestion, transformation, orchestration, and delivery across data lake, warehouse, and lakehouse solutions.
  • Lead initiatives to improve platform scalability, performance, reliability, and resiliency, and strengthen data quality, observability, governance, security, and lineage across the ecosystem.
  • Drive cloud migration and modernisation, evolving legacy platforms toward modern cloud-native architectures.
  • Provide trusted data foundations for advanced analytics, reporting, machine learning, experimentation, and customer insights.
  • Establish engineering best practices, CI/CD automation, infrastructure-as-code, and operational excellence, and lead root-cause analysis on complex production issues.
  • Provide technical leadership across initiatives, mentor engineers, and shape architectural decisions and technology roadmaps.

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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