Mid Level Data Engineer

🕒 September 18

🇬🇷 Greece – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 12%

What it means: the chance that no one is really hiring for this job.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

• Build and own pipelines and data models that turn raw data into clean, reliable, well-documented datasets • Build robust ETL/ELT pipelines that ingest, transform, and serve large datasets across the marketing intelligence stack • Design well-documented, tested, version-controlled dbt data models powering downstream AI and BI • Model data in the warehouse/lakehouse and relational databases, choosing structures for each access pattern • Implement orchestration, monitoring, data-quality checks, and lineage • Design, build, and maintain production data pipelines for analytics, BI, and AI workflows • Build SQL-based transformations and models into documented, tested datasets • Design and operate data warehouses/lakehouses and relational databases such as PostgreSQL • Contribute to pipeline infrastructure, orchestration, CI/CD, and infrastructure-as-code for the data platform • Work closely with data scientists and software engineers • Own pipelines end to end • Share knowledge with the team

🎯 Requirements

• 4+ years building and running production data pipelines and data models • Strong SQL and data modelling, including SQL-based transformation (dbt or similar) • Solid experience with a data warehouse or lakehouse • Strong Python; Scala or Java is a plus • Good software engineering habits, including version control, testing, code review, and CI/CD • Experience with pipeline orchestration such as Airflow, Dagster, or similar • Hands-on experience with a cloud platform such as GCP or AWS • Ability to write a short design document useful to product managers and engineers • Nice to have: distributed data processing at scale, such as Apache Spark • Nice to have: containers, including Docker, and infrastructure-as-code, including Terraform • Nice to have: vector databases such as Pinecone, Weaviate, or pgvector, or graph databases such as Neo4j or Neptune • Nice to have: exposure to ML/LLM-powered data systems, including RAG, embeddings, and feature/serving pipelines • Nice to have: event-driven or streaming data, including Pub/Sub, Kafka, and real-time pipelines

🏖️ Benefits

• Healthcare • Remote working — café, bedroom, beach — wherever works • Truly flexible working hours • Generous leave in line with Greek Labour Law • Impactful projects focused on meaningful social and environmental change • People-oriented culture with wellbeing as a priority • Transparent and open culture • Development opportunities • Autonomy and freedom • Culture of inclusion and warmth

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