Senior Data Engineer
New
G
GROPYUSConstruction Technology
GermanyFull-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- DockerPythonKotlinKubernetesPostgresSparkTerraformBigQuerydbt
Requirements
- Experience with programming languages such as Python or Kotlin.
- Experience with databases like Postgres, BigQuery, Spark, or Graph DB.
- Proficiency with tools like Kubernetes, Docker, Terraform, and Dagster.
- Experience with cloud storage platforms.
- Strong problem-solving and analytical skills with the ability to manage complex tasks and stakeholders.
- Experience identifying and resolving data discrepancies, including creating validation and testing frameworks.
- Proven experience building, operating, and scaling data-intensive reactive processing pipelines from end to end.
- Knowledge of semantic web technologies like RDF and OWL (optional).
- Experience with ontology engineering tools such as Protege (optional).
- Experience working with construction industry data or complex, large-scale datasets (optional).
- Knowledge of Data Science, Machine Learning, and AI agents (optional).
Responsibilities
- Design, build, and maintain core data platform components, including ingestion frameworks, transformation pipelines, and data storage layers.
- Own and improve data reliability through monitoring, alerting, SLAs, and data quality checks.
- Collaborate with domain experts and software engineers to understand data needs and deliver high-quality datasets.
- Lead strategic initiatives to modernize or scale the data ecosystem, including query optimization, schema design, and analytics.
- Mentor and guide team members to elevate engineering rigor and technical capability.
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