Senior Data Engineer

Greece·AthensFull-timesenior

Data EngineerData

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Quick Summary

Requirements Summary

BSc or MSc degree in Computer Science, Software Engineering, Data Science, or any relevant field.

Technical Tools

Data EngineerData

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

~1 min read

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.

What We Offer

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✓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.