Senior Data Engineer

Posted 5 Days Ago
Be an Early Applicant
Hiring Remotely in Greece
Remote
Senior level
Artificial Intelligence • Information Technology • Machine Learning • Software • Analytics
The Role
Design, build, and operate scalable batch, streaming, and real-time data platforms for marketing analytics and AI/ML products. Develop ingestion, transformation, orchestration, and delivery frameworks across cloud data environments; improve scalability, reliability, security, governance, observability, and lineage. Lead cloud modernization, CI/CD and infrastructure automation, resolve complex production issues, influence architecture, mentor engineers, and collaborate with product, engineering, data science, and business stakeholders.
Summary Generated by Built In

Are you passionate about AI? 🤖

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!

We're looking for a Senior Data Engineer to design, build, and operate the scalable data platforms behind a global payments & financial-services leader's marketing services products. You'll enable campaign measurement, customer insights, reporting, and AI/ML initiatives — partnering with Product, Engineering, Data Science, and Business stakeholders to turn complex data challenges into secure, reliable, high-quality solutions at enterprise scale.

What Your Day Might Look Like:

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

Requirements

Your Superpowers🚀:

  • Extensive experience designing and building scalable data platforms and distributed data-processing solutions.
  • Strong expertise across modern data engineering technologies — 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.
  • Deep understanding of data modelling, ETL/ELT design patterns, data architecture, and data lifecycle management, with a track record building pipelines for analytics, reporting, ML, and operational data products.
  • Hands-on experience delivering on cloud platforms such as Databricks, AWS, Azure, or GCP.
  • Solid grasp of data governance, security, privacy, lineage, metadata management, and regulatory compliance.
  • Experience with CI/CD, DevOps automation, infrastructure-as-code, and observability frameworks.
  • Strong problem-solving skills for diagnosing complex issues in distributed environments, plus the judgement to balance technical excellence with business priorities.
  • Experience leading technical initiatives, influencing architecture, and mentoring engineers, backed by strong stakeholder communication across engineering, product, analytics, and business teams.

Bonus Points for:

  • Experience with marketing, campaign, or customer-insights data domains.
  • Real-time and streaming architectures at enterprise scale.
  • Exposure to Generative AI or AI-assisted engineering workflows.
  • An advanced degree in Computer Science, Engineering, Information Systems, or a related technical discipline.

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 Required

  • Extensive experience designing and building scalable data platforms and distributed data-processing solutions
  • Strong expertise with 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
  • Deep understanding of data modeling, ETL/ELT design patterns, data architecture, and data lifecycle management
  • Track record building pipelines for analytics, reporting, machine learning, and operational data products
  • Hands-on experience with Databricks, AWS, Azure, or GCP
  • Knowledge of data governance, security, privacy, lineage, metadata management, and regulatory compliance
  • Experience with CI/CD, DevOps automation, infrastructure as code, and observability frameworks
  • Strong problem-solving skills in distributed environments and ability to balance technical and business priorities
  • Experience leading technical initiatives, influencing architecture, and mentoring engineers
  • Strong stakeholder communication across engineering, product, analytics, and business teams
  • Experience with marketing, campaign, or customer-insights data domains
  • Experience with enterprise-scale real-time and streaming architectures
  • Exposure to generative AI or AI-assisted engineering workflows
  • Advanced degree in Computer Science, Engineering, Information Systems, or a related technical discipline
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The Company
HQ: Athens
94 Employees
Year Founded: 2014

What We Do

Changing the world one algorithm at a time. Satori is a term to describe “the moment of clarity”. We are an Analytics Agency made with one simple vision: To give clarity in decision making, through data and AI. With teams of certified expert architects, analysts, data and AI engineers, we have the depth and experience to deliver simpler and complex data-centric solutions reliably, efficiently and repeatably. Over the past 10 years our people have been delivering innovative solutions to global brands across multiple industries in Financial Services, Retail, FMCG, Energy, Manufacturing, Health and others. Whether it’s a best practices cloud data estate design, a scalable and cost-efficient data warehouse, lake or lakehouse, intuitive and performing BI, optimisation and machine learning, generative (Open)AI and cognitive services, we’ve done it. With a diverse client portfolio we are proud to say we have a >90% retention rate and long standing relationships as a trusted data and AI partner with some of the biggest brands in Europe and beyond. If you want to know more about Satori's services, projects, and clients visit our website and feel free to get in touch directly with our people. If you are a prospective Satorian and want to have a career in building advanced data and AI products for the best companies out there and be part of true innovation, visit our career page and send us your CV!

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