Data Engineer till Spiris
Core
Building and maintaining robust, scalable data pipelines in cloud environments to ensure data availability and quality for the entire organization.
Role type
Senior Data Engineer
Builds
Data pipelines from Google BigQuery to Microsoft Fabric
Domain
Cloud data engineering, AI-driven product development
Deliverable
production ML models | infrastructure
Required skills
Cloud data pipeline construction, SQL, Python, API integration, Version control, Data quality assurance, System interoperability
Preferred skills
dbt, Apache Airflow, Microsoft Fabric platform
Technologies
Google BigQuery, Microsoft Fabric, SQL, Python
Responsibilities
Drive data flow from ingestion in Google BigQuery to Microsoft Fabric, Handle data from multiple internal and third-party sources, Build robust and scalable data processes, Collaborate with infrastructure, analysis, and business teams to minimize technical debt, Ensure data security, orchestration, and long-term sustainability
Seniority
Senior, hands-on IC
