(Senior) Data Engineer-1
Core
Build and maintain scalable data platforms, pipelines, and warehouses to power AI/ML products and analytics solutions for a global stone wool manufacturer.
Role type
Senior Data Engineer (Azure/Snowflake/DBT)
Builds
Scalable data ingestion, transformation, and warehousing pipelines; data models and marts for analytics and reporting.
Domain
Manufacturing (Stone Wool) / Data Engineering / Cloud Infrastructure
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Python, SQL, Snowflake, DBT, Azure (Functions, Data Lake, Iceberg), ETL/ELT, Data Modeling (Star/Snowflake/Data Vault), IaC (Terraform/CloudFormation), CI/CD, Git, NoSQL, SAP BW
Preferred skills
LLM tools (ChatGPT/Copilot), Kafka, Spark, Airflow, Docker, Kubernetes, AWS/GCP, Observability (Prometheus/Grafana/ELK), SAP FI/SD/MM
Technologies
Snowflake, DBT, Azure, Python, SQL, Terraform, CloudFormation, Jenkins/GitHub Actions, Iceberg, Kafka, Spark, Airflow, Docker, Kubernetes, Prometheus, Grafana, ELK, Git, SAP BW
Responsibilities
Maintain and optimize batch and streaming data pipelines; build and tune data models and warehouses; implement data validation, monitoring, and alerting; automate infrastructure provisioning and CI/CD; guide and coach junior engineers; profile and optimize SQL queries and storage layers.
Seniority
Senior, hands-on IC with mentorship responsibilities