Senior Data Engineer

🕒 July 18

🇬🇷 Greece – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Satalia

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2010

💼 Consulting

📣 Marketing

📦 Logistics

💰 Grant on 2016-02

Consulting • Marketing • Logistics

Satalia is a company that leverages advanced technologies to optimize and improve various business operations. They provide a platform for cloud development and data-driven services, employing cloud architects and data scientists to deliver innovative solutions. Satalia operates remotely, with locations in Greece, London, Kaunas, and Vienna. They focus on integrating analytics and marketing strategies to enhance user experience and functionality on their platforms.

📋 Description

• 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