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Shanghai, SH, CN

Associate Data Engineer


About iptiQ

iptiQ is a risk tech start-up within Swiss Re Group. Swiss Re is one of the world’s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime.

iptiQ provides digital, bespoke and transparent L&H and P&C protection products in a B2B2C manner. Founded in 2014, we're transforming the way consumers buy insurance with a unique digital insurance engine which incorporates the latest technology with world-class underwriting capabilities. We build strong partnerships to sell insurance via trusted brands.

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


About the Role

You will be the Associate Data Engineer at iptiQ China. This is a rare opportunity to join a new business unit within an established company; combining the dynamic spirit of a startup with the backing of Swiss Re's strong organization. In this position, you will be a key contributor to designing and implementing data models and data platform, developing data driven solutions which add values to our business, our partners and customers. Initially, you will be helping us to develop and launch a state-of-the-art data platform which can support fast integration with partner systems, flexible data services, automation, and applied AI with substantial scale in mind. With a focus on business needs, you will also contribute to the evolution of this data platform and use this platform to create data driven technology solutions for analytics, automation and innovation that can add significant business values.


Conduct & Fair Customer Outcomes - Putting customers interests at the heart of how we conduct business. Demonstrated through your individual behaviors with a clear focus on treating our customers fairly and delivering the right outcomes at all stages throughout the product lifecycle.

Swiss Re Culture – Ensure you positively demonstrate and evidence the Swiss Re Leadership/Personal imperatives, supporting the delivery effective behaviors. Responsibility to our clients, shareholders and employees to achieve and maintain world-class performance.

  • We are driving an agile and commercial culture to be successful in a dynamic environment

  • "Leadership from Every Seat" means every employee to act as leader and take ownership no matter where you sit in the organization.


Your Responsibilities

  • Be a key contributor to designing and implementing data models and data platform, as well as developing data driven solutions / services with a customer centric, open and innovative mindset

  • Be responsible for developing and implementing assigned data driven solution / services for integrating with partner systems and for data analytics

  • Contributes to all aspects and full life cycle of the data platform and services in line with our data strategy

  • Keep the documentation of the data solutions / services up to date during the full life cycle

  • Proactively suggest and contribute data-driven and innovative ideas and transform good ideas into solutions which can significantly add values to business, partners and customers  

  • Collaborate closely with cross-functional teams of external and internal developers, data scientists and engineers in the development and support of new solutions

  • Be a strong promoter of data driven business and serve as a bridge between the various stakeholders in different functions and levels, both internal and external

  • Agile collaboration with different functions across the Swiss Re organization and with external partners, especially with the APAC regional team and the global technology teams

  • Ensure data quality as well as compliance of the data platform and product features to information security, regulation, and risk management requirements


About You

You Have:

  • Bachelor's degree in computer science, engineering or equivalent working experience

  • 3+ years of data engineering / data analytics / database administration / data integration experience and a passion for developing unique data driven technical solutions and services

  • 3+ years of experience in working with different databases and tools for ETL, analytics. Experience with cloud databases, BI tools or mainstream AI frameworks / tools is a plus

  • Proficient in SQL / Python and practical experience in data lake / platform architecture, e.g. Hadoop, Hive, Flink

  • Experience in end-to-end data lifecycle management (including ingestion, processing, storage, and generating insights)

  • Understanding of data science / machine learning methodologies, processes and steps involved in building successful data driven technical solutions that add business values

  • Highly analytical, using data to make decisions and comfortable gathering necessary data yourself

  • Results oriented. You can cut to the core of a problem, identify what needs to be done and work with the teams to get products launched

  • Strong conceptual thinking combined with excellent problem-solving capabilities and an innovative mindset

  • Ability to build relationships in an international environment with a diverse group of internal and external stakeholders of the organization

  • Ability to clearly and effectively communicate (both oral and written) technical components of the development process with non-technical stakeholders and external audiences

  • An entrepreneurial attitude with ability to work in a fast paced, flexible environment and manage multiple concurrent projects

  • Experience with different development methodologies including Agile, Water Fall, etc.

  • Hands on experience in software architecting and coding is a plus

  • Working experience in insurance or other financial industries. Understanding of the insurance industry in China and competitive knowledge of insurance technology landscape is a plus

  • Excellent written and oral communication skills in Chinese Mandarin is a prerequisite, and fluency in English is a must


You Are:

  • Great team player: you collaborate effectively with team members, express technical leadership supporting your views and ideas while keeping open to different opinions, being fearless and always supplying to the overall growth of the team

  • Continuous learner who stays up-to-date with the latest trends and carefully vet with proper pragmatism and long-term vision the adoption of new technologies

  • An innovative character who can think out of the boxes and into the future for constructive ideas

  • Excellent communication skills; ability to comfortably interact with tech and non-tech colleagues

  • Ability to influence senior business leaders and different stakeholders

  • Ability and confidence to actively engage in discussions, voice opinions, and act as "facilitator" and "consultant"

  • You are experienced and able to work in an international environment

  • You have experience in working with high-speed and highly innovative culture


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

Keywords: Data Lake, ETL, Python, SQL, Hadoop 
Reference Code: 101642 


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