Senior Data Engineer
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Job Description
Senior Data Engineer architecting data pipelines and platforms for AI workflows in a flexible and innovative environment. Collaborating with teams and ensuring reliability of data solutions at Satalia.
Responsibilities:
- 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
Requirements:
- 5+ years of professional software engineering experience, shipping and operating production systems
- deep, demonstrable expertise designing and building distributed data pipelines with Apache Spark
- strong data modelling across relational, vector, and graph databases
- strong proficiency in at least one general-purpose language (e.g., Python, Scala, or Java)
- 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
- clear communication - you can write a one-page design doc that is useful for both product managers and staff engineers
- experience building and operating ML/LLM-powered production systems (model serving, RAG, agents) at scale (even better)
- experience with event-driven or streaming architectures (e.g., Pub/Sub, Kafka) and real-time systems (even better)
- depth in security, IAM, networking, and data governance in cloud environments (even better)
- background in marketing technology, ad tech, or large-scale data products (even better)
- meaningful open-source contributions or a track record of technical leadership (even better)
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
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