Senior Data Engineer

Role Overview

• Architect and build production data pipelines and data platforms that serve models, data, and AI workflows to internal and client-facing applications — and stay accountable for them under live conditions.
• Own non-functional quality across your domain: latency and throughput budgets, scalability, reliability, observability, and cost.
• Lead the design and operation of multi-model data stores — relational (PostgreSQL, MySQL), vector (Pinecone, Weaviate, pgvector), and graph (Neo4j, Neptune) — applying the right tool to each access pattern, not the most fashionable one.
• Set technical direction: write design docs, make build-vs-buy calls, and defend your approach with evidence rather than instinct.
• Work across the stack when the problem demands it — services, data access, infrastructure-as-code, CI/CD — and diagnose it when things drift in production.
• Raise the floor for the team: mentor mid-level and junior engineers, run rigorous code reviews, and hold the quality bar without making it someone else's job to ask you.

Requirements

• 5+ years of professional experience shipping and operating production data systems — you've lived through scaling challenges, reliability incidents, and the unglamorous gap between a working prototype and a dependable service.
• Deep, demonstrable expertise designing distributed data pipelines with Apache Spark, and strong data modelling instincts across relational, vector, and graph databases.
• Strong proficiency in at least one general-purpose language (Python, Scala, or Java), and the ability to work effectively across others when needed.
• Hands-on experience with cloud platforms (GCP or AWS), containers (Docker), CI/CD, and infrastructure-as-code (Terraform).
• The engineering discipline to maintain what you build — version control, testing, code review, and a low tolerance for technical debt you created.
• Comfort with ambiguity. Many of our problems don't arrive with a known-good solution attached.
• Communication that scales: you can write a one-page design doc that's useful to both a product stakeholder and a staff engineer without two separate documents.
• Bonus Points for:
• Experience building and operating ML/LLM-powered production systems at scale — model serving, RAG, agents.
• Hands-on work with event-driven or streaming architectures (Pub/Sub, Kafka) and real-time systems.
• Depth in security, IAM, networking, or data governance in cloud environments.
• Background in marketing technology, ad tech, or large-scale data products.
• Meaningful open-source contributions or a visible track record of technical leadership outside your day job.

Tech Stack

• Apache
• AWS
• Cloud
• Docker
• Google Cloud Platform
• Java
• Kafka
• MySQL
• Neo4j
• Postgres
• Python
• Scala
• Spark
• Terraform

Benefits

• 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.