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GRGROPYUS

Senior Data Engineer(m/w/x)

Berlin
Full-timeWith Home OfficeSenior
AI/ML
Data Science

Building core data platform components and ingestion frameworks for timber-based residential construction. Proficiency in Python, Kubernetes, and Dagster or DBT required. Stock options, flexible work location.

Requirements

  • Experience with Python or Kotlin
  • Experience with Postgres, BigQuery, Spark, or Graph DB
  • Experience with Kubernetes, Docker, Terraform, Dagster, or DBT
  • Experience with Cloud Storage Platforms
  • Strong problem-solving and analytical skills
  • Ability to break down complex tasks
  • Experience working with stakeholders
  • Adaptability to dynamic input
  • Ability to lead implementation projects
  • Experience resolving data discrepancy issues
  • Experience creating validation and testing
  • Experience scaling end-to-end data pipelines
  • Knowledge of RDF and OWL
  • Experience with ontology and knowledge engineering
  • Experience using Protege
  • Experience with construction industry data or large datasets
  • Knowledge of Data Science, ML, and AI agents

Tasks

  • Design and build core data platform components
  • Maintain ingestion frameworks and transformation pipelines
  • Manage data storage layers
  • Monitor and improve data reliability and SLAs
  • Implement alerting and data quality checks
  • Collaborate with engineers to deliver high-quality datasets
  • Lead strategic initiatives to modernize the data ecosystem
  • Optimize queries and manage schema design
  • Scale data analytics capabilities
  • Mentor team members to elevate engineering rigor

Work Experience

  • approx. 4 - 6 years

Education

  • Bachelor's degreeOR
  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • Kotlin
  • Postgres
  • BigQuery
  • Spark
  • Graph DB
  • Kubernetes
  • Docker
  • Terraform
  • Dagster
  • DBT
  • RDF
  • OWL
  • Protege

Benefits

Purpose-Driven Work

  • Ownership and room to make a mark

Flexible Working

  • Flexible work location
  • Flexible working hours

Informal Culture

  • International teams

Competitive Pay

  • Stock options
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