Asks for

The ad says“Hands-on experience delivering on cloud platforms such as Databricks, AWS, Azure, or GCP.”
The ad says“Hands-on experience delivering on cloud platforms such as Databricks, AWS, Azure, or GCP.”
The ad says“Experience with CI/CD, DevOps automation, infrastructure-as-code, and observability frameworks.”
The ad says“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.”
The ad says“Solid grasp of data governance, security, privacy, lineage, metadata management, and regulatory compliance.”
The ad says“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.”
The ad says“Hands-on experience delivering on cloud platforms such as Databricks, AWS, Azure, or GCP.”
The ad says“Experience with CI/CD, DevOps automation, infrastructure-as-code, and observability frameworks.”
The ad says“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.”
The ad says“Hands-on experience delivering on cloud platforms such as Databricks, AWS, Azure, or GCP.”
The ad says“Strong expertise across modern data engineering technologies — Spark, Kafka, Hadoop ecosystem tools, cloud-native data services, and large-scale processing frameworks.”
The ad says“Experience with CI/CD, DevOps automation, infrastructure-as-code, and observability frameworks.”
The ad says“Proficiency in one or more of Python, Java, Scala, or SQL.”
The ad says“Strong expertise across modern data engineering technologies — Spark, Kafka, Hadoop ecosystem tools, cloud-native data services, and large-scale processing frameworks.”
The ad says“Solid grasp of data governance, security, privacy, lineage, metadata management, and regulatory compliance.”
The ad says“Experience with CI/CD, DevOps automation, infrastructure-as-code, and observability frameworks.”
The ad says“Solid grasp of data governance, security, privacy, lineage, metadata management, and regulatory compliance.”
The ad says“Proficiency in one or more of Python, Java, Scala, or SQL.”
The ad says“Solid grasp of data governance, security, privacy, lineage, metadata management, and regulatory compliance.”
The ad says“Proficiency in one or more of Python, Java, Scala, or SQL.”
The ad says“Solid grasp of data governance, security, privacy, lineage, metadata management, and regulatory compliance.”
The ad says“Strong expertise across modern data engineering technologies — Spark, Kafka, Hadoop ecosystem tools, cloud-native data services, and large-scale processing frameworks.”
The ad says“Proficiency in one or more of Python, Java, Scala, or SQL.”

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.

Your Day will 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🚀:

BSc or MSc degree in Computer Science, Software Engineering, Data Science, or any relevant field.
Minimum 5 years of 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.

Benefits

Competitive Salary – A rewarding package that reflects your skills and experience.
Flexible Working –Enjoy flexible hybrid model in our modern Athens office or work remotely from anywhere in European economic Area (EU, Switzerland etc.) or UK (up to 6 weeks per year).
Health & Wellness Benefits – Private insurance, and the chance to work with a stellar crew.
Learning & Development –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.
Career Growth – Clear opportunities to develop your skills and progress within the company.
Great Team & Culture – Work with talented, supportive people in a collaborative environment.
Team Events & Perks – Enjoy social events, celebrations, and exclusive employee benefits.
Modern Tools & Technology – Everything you need to do your best work.
A Workplace That Values You – Your ideas, contribution, and well-being genuinely matter.

Ready to create some data magic with us? Hit that apply button and let’s get started.