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Satori Analytics

Posted 4 months ago

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Data Engineering Manager

AthensHybridFull-time

AI Summary

Senior leadership role overseeing data engineering delivery and technical architecture. Manages Senior Data Engineers/Tech Leads, drives standards, and partners with POs and data science teams to deliver scalable data platforms.

About this role

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:

Technical & Delivery Leadership

  • Own and evolve data engineering standards, best practices, and architectural principles across Satori projects
  • Act as a senior technical authority for complex data platforms (cloud data stacks, pipelines, streaming, orchestration)
  • Support project teams in solution design, risk management, and technical decision-making
  • Review and challenge designs to ensure scalability, performance, security, and cost efficiency
  • Partner with Tech Leads to ensure consistency and quality across projects

People Management & Leadership

  • Line-manage Senior Data Engineers and Tech Leads, supporting growth, performance, and career progression
  • Coach engineers on technical depth, ownership, communication, and leadership behaviors
  • Contribute to performance reviews, development plans, and promotion decisions in alignment with Satori’s competency framework
  • Actively role-model Satori’s values around collaboration, transparency, and accountability

Cross-Functional Collaboration

  • Work closely with POs to align technical solutions with client needs and delivery constraints
  • Partner with Data Science, AI, and Cloud teams to ensure smooth end-to-end solutions
  • Support presales and discovery phases by contributing technical input, estimations, and solution framing when needed

Organizational Impact

  • Identify gaps in skills, tooling, or processes and propose pragmatic improvements
  • Contribute to internal initiatives (guilds, playbooks, training, knowledge sharing)
  • Help scale data engineering capability as Satori grows, without losing quality or culture

Requirements

Your Superpowers🚀:

  • 8+ years of experience in Data Engineering, with exposure to complex, production-grade data platforms
  • Proven experience in leading senior engineers and/or technical teams
  • Strong expertise in modern data stacks (e.g. cloud platforms, data warehouses, ETL/ELT, orchestration, streaming)
  • Experience working in consulting or project-based environments is a strong plus
  • Ability to balance hands-on technical depth with strategic thinking

What Success Looks Like:

  • Data engineering projects are delivered with high technical quality and predictability
  • Engineers feel supported, challenged, and clear about expectations and growth paths
  • Tech Leads and Product Owners trust you as a partner, not just a reviewer
  • Satori’s data engineering capability becomes more consistent, scalable, and resilient

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.

Skills

AirflowArchitectureBigQueryCloud PlatformsCost OptimizationDatabricksData GovernanceData PipelinesData WarehousesETL/ELTETL ToolingMLOpsOrchestrationPythonRisk ManagementSecuritySnowflakeSparkSQLStreaming

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