Data Analytics Engineer

About the Role

We are looking for a talented and motivated Data Analytics Engineer to join our Data Analytics Solutions team. The ideal candidate will have a solid foundation in Azure technologies, including Azure Data Factory (ADF), Azure Storage, and Power BI, with a preference for candidates who also have experience in backend development, particularly with .NET. The role focuses on developing, maintaining, and optimizing data analytics solutions.

Responsibilities

• Business Intelligence & Reporting:
  • Develop and maintain Power BI reports and dashboards.
  • Assist in integrating data from various sources to create insightful and actionable reports.
  • Ensure that data visualizations meet the needs of clients and business stakeholders.
• Data Pipeline Development:
  • Design and develop data pipelines using Azure Data Factory (ADF), SQL Server stored procedures, and/or Databricks Spark ETL processes.
  • Participate in troubleshooting and resolving data pipeline issues to ensure data quality and reliability.
• Backend Integration (Nice to Have):
  • Support backend development tasks related to data integration and API management, especially using .NET.
  • Assist in developing and maintaining data services and applications that interface with Azure data solutions.
• Collaboration & Communication:
  • Work closely with data scientists, analysts, and other engineers to understand data requirements and deliver high-quality solutions.
  • Participate in code reviews, documentation, and the sharing of best practices within the team.
  • Stay updated on the latest developments in Azure services and data engineering practices.

Your Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field. Equivalent work experience may be considered.
• Strong knowledge of SQL, including database management, query optimization, and security practices.
• Experience with Power BI in developing and maintaining reports and dashboards.
• Knowledge of Azure Storage solutions, including Blob, Table, and Data Lake Storage.
• Solid understanding of data modelling using 3NF and dimensional approaches.
• Experience developing data pipelines
• Familiarity with backend development, particularly with .NET (desirable).
• Strong problem-solving skills and attention to detail.
• Excellent communication skills, both verbal and written.
• Ability to work collaboratively in a global team environment.

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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