BKW is a global organization that specializes in delivering cutting-edge services, encompassing building technologies, infrastructure engineering, and comprehensive energy solutions.
We collaborate with our 11,500-strong team to build networks, generate energy, and develop energy-efficient buildings that will shape the sustainable living spaces of tomorrow.
We're seeking talented individuals with innovative ideas, unwavering commitment, and unrelenting dedication to help us create positive social and environmental impact.
* Data Pipeline Design and Optimization: Design, orchestrate, and optimize data pipelines to process trading, market, and asset data effectively.
* Diverse Data Sources Integration: Work with diverse data sources and ensure seamless data flow across systems for streamlined operations.
* Data Validation and Cleansing: Implement robust validation and cleansing processes to maintain high data accuracy and consistency.
* : Build and refine scalable analytics tools and data models that support pricing, structuring, and trading activities.
* : Assess and enhance the performance of machine learning models and analytics solutions.
* : Collaborate closely with structurers, traders, and analysts to improve data accessibility and drive innovation.
Requirements:
* Master's Degree in Computer Science or Data Science: A Master's degree in Computer Science, Data Science, or a related quantitative field is required.
* Technical Expertise: Strong expertise in SQL, Python, and data transformation libraries is essential.
* Analytics and Visualization Tools Familiarity: Experience with analytics and visualization tools such as Looker or Power BI is necessary.
* Cloud Platforms and Git Familiarity: Familiarity with Git, machine learning libraries, and cloud platforms (Azure, AWS, GCP) is desirable.
* Analytical Mindset and Communication Skills: A strong analytical mindset, ability to thrive in a fast-paced environment, excellent communication skills, and problem-solving abilities are highly valued.