You will be a technical lead for the data services and infrastructure that turn raw data into reliable, well-modelled products: scoping the problem, choosing the architecture, building and shipping to production, and operating it under live traffic. You are not handing off a design to someone else — you ship what you build, and you set the bar for how it’s built. You’ll work closely with data scientists and software engineers across the stack.

What You’ll Be Doing

• Architect and build production data pipelines and data platforms that serve models, data, and AI workflows to internal and client-facing applications, accountable for them under live traffic.
• Own non-functional quality — latency and throughput budgets, scalability, reliability, observability, and cost — for the systems in your domain.
• Lead the design and operation of multi-model data stores — relational databases (PostgreSQL, MySQL), vector databases (Pinecone, Weaviate, pgvector), and graph databases (Neo4j, Neptune) — ensuring the right tool for each access pattern.
• Set technical direction: write design docs, make build-vs-buy decisions, and defend your approach with evidence.
• Work across the stack when needed — services, data access, infrastructure-as-code, CI/CD — and debug it when things drift in production.
• Mentor and set the quality standards for mid-level and junior data engineers.

What We Want From You

• 5+ years of professional software engineering experience, shipping and operating production systems — you’ve dealt with scaling, reliability, on-call, and the gap between a working prototype and a dependable service.
• Deep, demonstrable expertise designing and building distributed data pipelines with Apache Spark, and strong data modelling across relational, vector, and graph databases.
• Strong proficiency in at least one general-purpose language (e.g., Python, Scala, or Java) and the ability to work effectively across others.
• Hands-on experience with cloud platforms (GCP/AWS), containers (Docker), CI/CD, and infrastructure-as-code (Terraform).
• Strong software engineering habits — version control, testing, code review, CI/CD.
• Comfort with ambiguity. Many of our problems don’t have a known-good solution.
• Clear communication — you can write a one-page design doc that is useful for both product managers and staff engineers.

If You Know Some Of This, Even Better

• Experience building and operating ML/LLM-powered production systems (model serving, RAG, agents) at scale.
• Experience with event-driven or streaming architectures (e.g., Pub/Sub, Kafka) and real-time systems.
• Depth in security, IAM, networking, and data governance in cloud environments.
• Background in marketing technology, ad tech, or large-scale data products.
• Meaningful open-source contributions or a track record of technical leadership.

What We Offer

• Benefits - healthcare
• Remote working - café, bedroom, beach - wherever works;
• Truly flexible working hours - school pick up, volunteering, gym;
• Generous Leave – inline with Greek Labour Law
• Impactful projects - focus on bringing meaningful social and environmental change;
• People oriented culture - wellbeing is a priority, as is being a nice person;
• Transparent and open culture - you will be heard;
• Development - focus on bringing the best out of each other;

Satalia is home to some of the brightest minds in AI and if you’re looking to join a company who not only values autonomy and freedom, but embraces a culture of inclusion and warmth, we’d love to hear from you.

We aim to respond to all applications within 2 weeks. If you have not heard from us within 2 weeks this means your application has been unsuccessful.

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Good luck!