Senior Data Engineer

Are you passionate about AI? 🤖

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.