Azure Data Engineer (80-100%)

Company:
Location: Zürich, ZH

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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.

At Swiss Re we combine experience with creative thinking and cutting-edge expertise to create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 13,000 employees across the world.

We offer a flexible working environment where curious and adaptable people thrive. Are you interested in joining us?


About the Role


You are an engineer who has particularly strong skills with all forms of cloud storage, whether it's managing data in a data lake (Azure Storage), to relational databases, or various forms of non-relational data (e.g. Cosmos DB). You understand how to migrate database schemas and data with automation, and you are comfortable defining data access and data governance best practices. You are adept at building reliable ETL pipelines using tools like Azure Data Factory or Databricks to move and transform data for multiple uses. You keep on top of developments in storage offerings and ensure that data scientists and platform engineers have data stores which are well-managed to use and maximize productivity.


Your responsibilities include:

  • Provisioning and managing various storage resources with automation

  • Build and integrate highly scalable and robust data processing pipelines

  • Managing big data workloads

  • Perform data collection, data cleansing and integration and data retrieval

  • Managing RBAC and ACL to these resources in a compliant and secure way

  • Designing and implementing a backup and restore strategy

  • Designing a schema and versioning concept for non-relational data stores

  • Defining compression techniques (Parquet/Avro etc)

  • Developing a data catalog and working with data ontologies

  • Documenting and ensuring all teams follow set standards

  • Optimizing read access of data

  • Operationalization of jobs including failures and retries


About the Team


The CorSo Digital Markets team has been created to address the challenges of the future and position CorSo as a risk innovation leader. This is an opportunity to join a fast-faced working environment that leverages the latest technologies to provide unique and compelling solutions in a competitive marketplace. We operate with a startup mentality, challenge boundaries, and strive to combine leading-edge technology capabilities with new and emergent business models.


About You


Are you eager to disrupt the insurance industry with us and make an impact? Do you wish to have your talent recognized and rewarded? Then join our growing team and become part of the next wave of insurance innovation.

Your profile:

  • Proven data engineering experience with previous work and references

  • Minimum of 7 years as a data engineer

  • Constant learner who keeps on top of industry trends

  • Strong Azure knowledge

  • Good programming skills (SQL, Cosmos DB apis, yaml)

  • Spark (Preferred using Python)

  • C# .NET a plus

  • Self-motivated and good communication skills

  • Proficient in English


We are an equal opportunity employer, and we value diversity at our company. Our aim is to live visible and invisible diversity – diversity of age, race, ethnicity, nationality, gender, gender identity, sexual orientation, religious beliefs, physical abilities, personalities and experiences – at all levels and in all functions and regions. We also collaborate in a flexible working environment, providing you with a compelling degree of autonomy to decide how, when and where to carry out your tasks.


We provide feedback to all candidates via email. If you have not heard back from us, please check your spam folder.

*** Mention DataYoshi when applying ***

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