Aktuelle Jobs im Zusammenhang mit Data Engineer for Trading and Market Analytics - Bern, Bern - BKW Energie AG
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Head of Risk Data
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Bern, Bern, Schweiz NZZone VollzeitAbout usBKW offers forward-looking total solutions in the areas of energy, buildings and infrastructure - internationally and in partnership. With around 12,000 employees, we build modern grids, generate renewable energy and realise energy-efficient buildings. We are looking for passionate people to join us in making a contribution to the society and...
Data Engineer for Trading and Market Analytics
vor 2 Wochen
BKW Energie AG is a leading international company that offers a wide range of services in the field of energy solutions. Our team of experts works together to design, build, and deliver sustainable living spaces for tomorrow.
We are looking for a talented Analytics Engineer to join our team. As an Analytics Engineer, you will play a key role in designing, orchestrating, and optimizing data pipelines to process trading, market, and asset data. You will work closely with our structurers, traders, and analysts to improve data accessibility and drive innovation.
The successful candidate will have a Master's degree in Computer Science, Data Science, or a related quantitative field. Strong expertise in SQL, Python, and data transformation libraries is required. Experience with analytics and visualization tools such as Looker or Power BI is also essential. Familiarity with Git, ML libraries, and cloud platforms (Azure, AWS, GCP) is highly valued. The ideal candidate will have a strong analytical mindset and excellent communication and problem-solving skills.
Job Responsibilities
- Design, orchestrate, and optimize data pipelines to process trading, market, and asset data.
- Work with diverse data sources and ensure seamless data flow across systems.
- 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 ML models and analytics solutions.
- Collaborate closely with structurers, traders, and analysts to improve data accessibility and drive innovation.
Required Skills and Qualifications
- Master's degree in Computer Science, Data Science, or a related quantitative field.
- Strong expertise in SQL, Python, and data transformation libraries.
- Experience with analytics and visualization tools such as Looker or Power BI.
- Familiarity with Git, ML libraries, and cloud platforms (Azure, AWS, GCP).
- Strong analytical mindset and ability to thrive in a fast-paced environment.
- Excellent communication and problem-solving skills.
