Lead Geospatial Data Engineer

2 settimane fa

Milano, Italia digitalh A tempo pieno

we are looking for a Senior Engineer to architect high-performance spatial data pipelines and lead a technical team. You will handle massive datasets, optimize geometry storage, and build scalable backend logic.
Must Have

✅ 4+ Years experience in Data Engineering.
Core: Python (Pandas, GeoPandas), SQL.
Spatial DB: PostgreSQL + PostGIS (Must be your second language).
Experience with Big Data: OLAP Databases (ClickHouse, BigQuery) for massive datasets & Spatial Indexing (H3/S2).
Leadership skills (Code review, mentoring, team management).

Role
Position: Lead Data Engineer. Location: 100% Remote (Worldwide).
Responsibilities

Architect high-performance spatial data pipelines and guide a technical team.
Handle massive datasets, optimize geometry storage, and build scalable backend logic.
Leverage core technologies: Python, Pandas, GeoPandas, SQL, PostgreSQL, PostGIS, ClickHouse, BigQuery, and spatial indexing (H3/S2).
Provide code reviews, mentor team members, and manage day‑to‑day team dynamics.

Qualifications

4+ Years experience in Data Engineering.
Proficiency in Python (Pandas, GeoPandas) and SQL.
Expertise in PostgreSQL + PostGIS.
Experience with OLAP Databases (ClickHouse, BigQuery) and spatial indexing technologies (H3, S2).
Strong leadership abilities, including code review, mentoring, and team management.

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