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Senior Data Engineer

Satori Analytics Open
On-site Athens Full-time Senior Data Engineering

At a glance

Senior Data Engineering role at Satori Analytics. Athens · full-time.

Pay not stated Data Engineer salary

RoleData Engineering
SenioritySenior
LocationAthens
WorkplaceOn-site
EmploymentFull-time
PostedSep 28, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and run batch, streaming and real-time pipelines for marketing products and analytics workloads
  • Create shared services for data ingestion, transformation, orchestration and delivery across lake, warehouse and lakehouse platforms
  • Improve platform scale, speed and resilience while strengthening data quality, security, governance and observability
  • Modernise legacy platforms through cloud migration, and provide trusted data for reporting, AI/ML and customer insights
  • Set engineering practices, investigate production failures, guide architecture and mentor other engineers

What you bring

  • A relevant bachelor's or master's degree, such as in computer science, software engineering or data science
  • At least five years building scalable data platforms and distributed processing systems
  • Strong command of modern data tools, including Spark, Kafka and cloud data services, plus a listed programming language
  • Hands-on delivery experience on Databricks, AWS, Azure or GCP, with knowledge of data modelling and pipeline design
  • Experience leading technical work, shaping architecture and mentoring engineers

Who this fits

This senior role suits an engineer who can combine hands-on platform work with technical leadership and stakeholder collaboration. The position is listed as onsite in Athens, while the benefits section also describes hybrid work or remote work from the EEA or UK for up to six weeks per year.

From the employer

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.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.