Data Engineer, Shift Technology
Offers company equity and a variable component tied to personal and company performance
AI-driven insurance fraud solution
Be an early applicant
AI-driven insurance fraud solution
501-1000 employees
Be an early applicant
Offers company equity and a variable component tied to personal and company performance
501-1000 employees
Company mission
To revolutionise the policyholder experience through wide-ranging products that apply AI and advanced data science to key insurance processes.
Role
Who you are
- Experience: You have at least 2 years of professional experience in Data Engineering or Software Engineering focused on data-related projects. This role is targeted at mid-level engineers who have demonstrated the ability to deliver production-quality solutions and are ready to take on new challenges
- Code-savvy, either by having a degree in computer science and having developed some apps with actual users – writing scripts for models and notebooks is not enough at Shift, we thrive on people who can write maintainable, production-quality code that will run everyday without breaking
- Ability to produce optimized and stable code which will smoothly run in a production context; you’re familiar with algorithm complexity assessment; you can write unit tests and integration tests; you think about potential problems and edge cases
- Knowledge and experience using object-oriented concepts; you can design class diagrams and use common object-oriented design patterns naturally. C# knowledge is a plus
- Data-oriented mindset; you have strong data exploration skills using standard Python libraries; you can dive deep into datasets to identify optimal ways to process and transform data
- Good practical spirit, eager to understand how new systems work, and able to troubleshoot and improve them; when hitting an unexpected problem, you are ready to dig in to solve the problem yourself
- Teamwork capabilities; you are comfortable working with others and you have good communication skills. You can collaborate effectively with the Product team to refine and clarify technical specifications, ensuring alignment between business needs and engineering solutions. You proactively maintain clear, thorough documentation to support knowledge sharing and collaboration across distributed and remote teams
- English speakers; we are an international company with offices in many countries and 40+ nationalities, the Shift working language is English
- This position is based in Paris, so knowledge of French is a big plus
What the job involves
- Our Engineering team lies at the core of the value we offer to our customers
- We solve complex problems not only within our squads but also by working collaboratively with other teams across the organization
- We’re reshaping the way data drives decision-making by building powerful, scalable software and data platforms
- Whether you're passionate about distributed systems, building APIs, or enabling data-driven insights, you'll find exciting opportunities here
- Our tech stack includes .NET Core (C#), Python, MS SQL Server, ElasticSearch, Spark, ADF and more
- We are also progressing towards distributed data systems on cloud platforms, with exciting challenges in both bulk and real-time processing
- Develop and maintain scalable data models and data access layer frameworks that serve as the foundation for centralized databases and downstream applications
- Build and optimize ETL pipelines to ingest, transform, and integrate various data sources, ensuring data consistency, quality, and availability, leveraging Apache Spark, .NET libraries, Azure Data Factory, DBT
- Contribute to Agile development processes by participating in sprint planning, stand-ups, and retrospectives to ensure continuous delivery and alignment with team goals
- Collaborate closely with the product team to translate roadmap priorities into technical designs and deliverables that meet business and customer needs
- Work hand-in-hand with Data Scientists to create and enhance frameworks that simplify customer data integration and support advanced analytics and machine learning workflows
- Participate in code reviews, deployment processes, and monitoring to ensure high-quality production releases and smooth operation of data pipelines and frameworks
Application process
- Talent Acquisition interview
- 2x Technical interviews
- Technical Lead interview
- Hiring Manager interview
Our take
The global insurtech market is projected to grow substantially given the increased demand for insurance service digitisation, projected market expansion, and developments in technology that have made it easier to buy and process claims. Insurtech helps create new avenues that large insurance companies have less incentive to pursue, such as offering social insurance and customised policies for clients.
In January 2021, Shift Technology introduced the Shift Insurance Suite to help the insurance industry apply AI-based decision automation and optimisation technology solutions. This addresses critical processes across the insurance policy lifecycle, as well as helps insurers to achieve faster, more accurate claims and policy resolutions.
Shift Technology is focusing on continuous deployment in the UK and the US, whilst exploring opportunities in Singapore, as it attempts to become an international player in the market. However, it must stave off a number of major competitors to do so, including Quantemplate, Slice and Neos.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-1% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
May 2021
$220m
SERIES D
Mar 2019
$62.5m
SERIES C
Total funding: $322.5m
Company benefits
- Flexible remote and hybrid working options
- Competitive Salary and a variable component tied to personal and company performance
- Company equity
- Generous PTO and paid holidays
- Parental leave opportunities
- Extensive mental health benefits provided via our global Employee Assistance Program
- Paid volunteering time - 16 hours annually
Company HQ
Bercy, Paris, France
Leadership
Jeremy Jawish
(CEO)Experience in fraud detection solution development for AXA in 2011, and as an FICC Strategist for Goldman Sachs in 2012.
Eric Sibony
(CSO)PhD in machine learning from 2012-2016, and has been CSO since 2013.
David Durrleman
(Fellow Engineer)Experience as a Fixed Income Strategist for Goldman Sachs between 2008-2013.
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