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59 минут назад

Data Engineer (Geospatial)

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data Engineer (Geospatial) (Python/AWS): Building and hardening the delivery and serving backbone for satellite-based infrastructure monitoring with an accent on backend services, geospatial data processing, and workflow orchestration. Focus on designing deterministic Prefect and AWS pipelines, automating data-quality checks, managing PostGIS schemas, and keeping customer-ready insights traceable and reliable at scale.

Location: hirify.global GmbH Berlin Office, hybrid

Company

hirify.global develops satellite analytics products that monitor changes around critical infrastructure such as pipelines and power grids.

What you will do

  • Co-own and extend delivery-management, insight-generation, and post-processing services that turn model detections into customer-ready insights.
  • Harden backend services with testing, documentation, and reliable ownership practices.
  • Maintain the AWS and Prefect delivery platform, including Lambda-based integrations, orchestration flows, and cross-repository releases.
  • Manage PostgreSQL and PostGIS schemas and Alembic migrations.
  • Unblock orchestration runs, reduce manual delivery steps, and maintain delivery SLAs.
  • Automate schema, geometry, and coverage-quality checks while maintaining traceable metadata and STAC entries.

Requirements

  • Strong production experience with Python.
  • Experience building and operating backend services with FastAPI or similar frameworks, SQLAlchemy, Alembic, and Pydantic.
  • Production experience with AWS, especially S3, Lambda, EC2, and IAM basics.
  • Experience with PostgreSQL, spatial data, and orchestration tools such as Prefect, Airflow, or Dagster.
  • Ability to handle geospatial raster and vector data using tools such as Rasterio, GeoPandas, Shapely, STAC, and Cloud-Optimised GeoTIFF.
  • Pragmatic delivery, reliability, operations, ownership, and verification mindset.

Nice to have

  • Experience with PostGIS, GeoAlchemy2, Ray, or Anyscale.
  • Experience with MLflow, experiment and dataset versioning, or remote sensing and SAR data.
  • Knowledge of observability tools such as structured logging, OpenTelemetry, and alerting.
  • Experience with satellite provider APIs including Capella, UP42, Planet, or ICEYE.

Culture & Benefits

  • Flexible working hours and a hybrid work model.
  • Career development support, autonomy, and opportunities for creative initiative.
  • Overtime is limited to necessary situations and offset with time off and rest.
  • Internal workshops, knowledge-sharing sessions, journal clubs, and hackathons.
  • Central Berlin Kreuzberg office with free fruit, nuts, and drinks.
  • Potential employee stock option participation, Urban Sports membership, BVG subsidy, and a corporate pension program.

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