The Role
Architect and build high-performance spatial data pipelines and scalable backend logic for massive datasets. Optimize geometry storage, implement spatial indexing, work with OLAP databases, and lead a technical team through code reviews, mentoring, and technical leadership.
Summary Generated by Built In
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).
💼 The Role:
Position: Lead Data Engineer.
Location: 100% Remote (Worldwide).
Tasks
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).
Requirements
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).
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).
💼 The Role:
Position: Lead Data Engineer.
Location: 100% Remote (Worldwide).
Tasks
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).
Requirements
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).
Skills Required
- 4+ years experience in Data Engineering
- Python (Pandas, GeoPandas)
- SQL
- PostgreSQL with PostGIS
- Experience with OLAP databases (ClickHouse, BigQuery) for large datasets
- Spatial indexing experience (H3, S2)
- Leadership skills: code review, mentoring, team management
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The Company
What We Do
digitalh is an innovative software and data startup based in Milan, Italy. The company specializes in delivering a comprehensive suite of services, including custom software development, data management, artificial intelligence (AI) implementation, business intelligence solutions, and branding services. They primarily target their offerings toward companies and small to medium-sized businesses (SMBs) to help them leverage modern technology and data-driven insights.
