Data Engineer I

Overview

Swiss Re is one of the world’s leading providers of reinsurance, insurance, and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and pioneering expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skills, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work.

As a Data Engineer, you will contribute to and support the data activities using Microsoft Azure technology. The data layer will enable data scientists and data analysts to enrich their analytics, data models and will allow collaboration with appropriate data access controls. We are seeking a highly motivated and detail-oriented Data Engineer to join our dynamic team.

Key Responsibilities:

• Analyze data to identify trends and patterns, and develop insights to drive business decisions
• Design and implement data pipelines to efficiently extract, transform, and load (ETL) from various data sources into a central data lake.
• Maintain comprehensive documentation and data mapping across multiple systems.
• Perform data quality checks, performance monitoring and troubleshooting as required
• Collaborate with peers and senior team members to optimize data processes.
• Active in shaping and developing data solution strategies, while using hands on experience.
• Identify gaps and provide recommendations to achieve Business must-wins and leverage automation as needed
  
  

• Bachelor's or master's degree in computer science, information technology, data engineering or equivalent field.
• 1-3 years of hands-on experience in Data Engineering is essential
• Basic knowledge of RDBMS, SQL, data engineer skills such as data management, data visualization, and familiarity with data architecture is important and data modelling concepts
• Self-starter who is methodical and organized. Outcome-focused, upbeat, proficient, and reliable
• Excellent problem-solving and analytical skills
• Strong communication and teamwork skills
• Proficient in English (written and spoken)
  
  

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

About Swiss Re

Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.

Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.

If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience.

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Reference Code: 136173