Jobs / Senckenberg Gesellschaft fur Naturforschung (SGN)

Cloud Data Infrastructure Engineer (m/f/d)

Senckenberg Gesellschaft fur Naturforschung (SGN) · Frankfurt am Main, HE, Deutschland
Frankfurt am Main, HE, DeutschlandPart timeHybrid
Remuneration
TV-H pay scale E13; annual special payment
Location
Frankfurt am Main, HE, Deutschland
Visa sponsorship
Not specified

Job summary

Design and operate the data infrastructure for an open-access Species Distribution Modelling platform that supports reproducible biodiversity research, monitoring, and conservation. The role builds a Parquet lakehouse over GBIF and OBIS occurrence data, AWS storage and batch compute, PostgreSQL/PostGIS services, automated data and model pipelines, and H3-based aggregation and map-tile generation.

Benefits

Mobile working optionsFree admission to Senckenberg museumsAnnual special paymentCollectively agreed vacation entitlementCompany pension planAccess to an international network of scientists, policymakers, and research org

Qualifications

  • Several years of experience designing and operating AWS cloud data platforms
  • Experience with Parquet and lakehouse technologies such as DuckDB, Spark, or Dask
  • Strong PostgreSQL and PostGIS experience
  • Experience processing large-scale geospatial data, spatial indexes, and map tiles
  • Experience with GBIF or OBIS occurrence data and environmental layers such as Bio-ORACLE
  • Knowledge of Python, Docker, Git, and CI
  • Very good command of English
  • Familiarity with species distribution modelling and statistical or machine-learning approaches such as GLM/GAM, MaxEnt, or Random Forest
  • Track record in reproducible scientific computing or open-source projects

Responsibilities

  • Design and implement data infrastructure for the Open Modular SDM Platform
  • Operate AWS storage and batch compute alongside PostgreSQL/PostGIS serving infrastructure
  • Build monthly full-corpus rebuild, species extraction, and SDM training pipelines
  • Implement workflow orchestration and containerisation
  • Build H3-based aggregation and map-tile generation pipelines
  • Manage cloud costs, infrastructure documentation, and handover
  • Advise the project team on infrastructure and hosting decisions

Skills

AWSDockerGitPostgreSQLPythonS3Spark

Languages

English

Work schedule

Flexible working hours

Industry

Biodiversity informaticsEcological modellingBiodiversity researchData management

Contract length

1 year

Relocation

No