Senior Data Engineer (Azure)

Company:
Location: Milano, Lombardia

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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


The future is closer than you think. The constantly evolving world of autonomous cars, drones, unmanned trains and whatever visionaries like Elon Musk next come up with, all have the potential to hugely disrupt Casualty portfolios. By 2050, many predict that nearly every car will be driverless. Given the meaningful part motor plays in our portfolio, should we be passionate about driverless technology? What are the benefits and risks? How will this affect our clients' portfolios? How will claims be handled? Which markets will lead, which will lag? What role will telematics play? And how do we transition?


About the Team


As Data Engineer you will be part of the Automotive & Mobility team located in Milan, Zurich, Bremen and Beijing. Our goal to drive technological developments that we hope can help transform the re/insurance industry. If you are an experienced and innovative IT professional who is passionate about finding efficient solutions for demanding problem situations, we would like to speak with you about joining our dynamic team.


Core Responsibilities:


  • Designing and writing data pipelines to populate an Azure Data Lake from internal and external data sources

  • Working closely with the Data Science team to enable the consumption of the Data Lake with DataBricks and to productionize ML models

  • Documenting design proposals and implementations (Visio, Markdown)

  • Collaborating with external clients to provide them with the required Data Delivery APIs to retrieve data and to create Data Ingestion APIs to capture data


About You


  • Higher education degree (at the least B.Sc.) in Computer Science (or equivalent).

  • 5+ years of experience as a developer

  • You have gained experience in several cloud projects and have deployed at least one cloud-based application

  • Willing to keep tabs on technological developments in the IT sector and especially cloud technologies

  • Client centric demeanor

  • Excellent communication skills in spoken and written English.

  • A strong teammate


Technical Proficiencies:


  • Experience with MS Azure resources and technologies in the area of Information Management

  • Expertise in implementing data management and ETL processes, data monitoring and quality assurance, data governance

  • In depth-know how of RESTful/API, you have a deep understanding of REST and how the server-side API needs to be designed to ensure that the API remains efficient throughout the various project phases

  • Familiar with SQL and document-oriented storage as well as DevOps principles

  • Strong API controller design and implementation skills

  • Familiar with Agile principles


Desired skills:


Significant depth of technical experience in a number of the following Azure services and technologies:

Azure DataLake Storage, DataBricks, Storage Accounts, Event Data Captures, API Management, Azure Storage, Azure CosmosDB, Azure SQL, Azure Data Factory, PowerBI, Python, Spark/Hive, SparkSQL, C#/.NET, PowerShell, ARM, Terraform


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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