データエンジニア/ Senior Data Engineer
Core
Design and build data integration solutions, custom extractors, and AI agents for industrial clients using Cognite Data Fusion.
Role type
Senior Data Engineer (Industrial Digitalization)
Builds
Custom data extractors, data models, AI agents, and integration solutions for heavy industry clients.
Domain
Industrial digitalization, heavy industry (oil & gas, chemical, pharma, manufacturing), data engineering.
Deliverable
production ML models | product features | dashboards & analysis | client delivery | infrastructure
Required skills
Python coding, SQL, Spark, Docker, CI/CD, data modeling, REST API, cloud platforms (Azure/AWS/GCP), data visualization (Power BI/Grafana/Plotly Dash), stakeholder communication.
Preferred skills
Domain knowledge of operational data in heavy industry, consulting experience, project leadership, enterprise integration design, DevOps mindset, architectural skills for data warehouses/lakehouses, familiarity with industrial equipment lifecycles, startup experience.
Technologies
Python, Spark, Kafka, Docker, SQL, Cognite Data Fusion, Power BI, Grafana, Plotly Dash, Databricks, Azure, AWS, GCP, Git, CI/CD.
Responsibilities
Define queries with SMEs based on client requirements; develop and customize custom extractors; create custom data models for discovery and cleansing; prototype dashboards; develop scripts for data ingestion and processing; design technical solutions ensuring fit within customer ecosystems; act as a trusted advisor to customers and partners.
Seniority
Senior, hands-on IC with client-facing responsibilities.
