We are looking for an experienced Application Engineer with expertise in Cognite Data Fusion (CDF) or similar industrial data platforms. The role involves designing and implementing scalable data solutions, building production-grade data pipelines, developing custom data models, and delivering end-to-end industrial data integration solutions across energy and manufacturing domains.
Key Responsibilities
Lead the design and implementation of scalable data solutions using Cognite Data Fusion (CDF) or similar industrial data platforms.
Build production-grade data pipelines using Python, SQL, and REST APIs.
Develop reliable ingestion and transformation pipelines for high-volume heterogeneous datasets including time-series, assets, and events.
Design custom data models and contextualization frameworks to improve data discovery, mapping, and data quality.
Collaborate with solution architects, data scientists, and client stakeholders to deliver end-to-end data solutions.
Drive best practices in code quality, CI/CD, and modular pipeline design.
Support customer onboarding and adoption of the DataOps platform.
Contribute reusable frameworks and internal tools to accelerate project delivery.