Data Engineer, Shift Technology

Salary not provided

+ Equity

SQL

Python

.NET

Airflow

dbt

Senior and Expert level

Paris

AI-driven insurance fraud solution

Open for applications

AI-driven insurance fraud solution

501-1000 employees

B2BArtificial IntelligenceInternal toolsInsuranceAnalyticsSaaSAutomation

Open for applications

Salary not provided

+ Equity

SQL

Python

.NET

Airflow

dbt

Senior and Expert level

Paris

501-1000 employees

B2BArtificial IntelligenceInternal toolsInsuranceAnalyticsSaaSAutomation

Company mission

To revolutionise the policyholder experience through wide-ranging products that apply AI and advanced data science to key insurance processes.

Job

Company

Role

Who you are

5+ years of experience in software development or data engineering in cloud-based environments
Strong programming skills in C# .NET and Python, with a solid grasp of OOP principles
Proficiency in data transformation and processing tools (e.g. PySpark, dbt)
Experience designing scalable and robust data platforms
Familiarity with data modeling techniques (e.g., star schema, data vault)
Experience with distributed data systems and Database optimization
Comfortable working with NoSQL data stores and SQL Server
Experience in ETL processes and orchestration tools like Apache Airflow etc
A passion for continuous learning, mentoring, and solving complex problems
Excellent communication skills in English

What the job involves

As a Software Engineer, your technical expertise and autonomy will allow you to design and implement scalable, intuitive features across our platform
Build and maintain high-performance data pipelines, contributing to a robust data and application architecture
Collaborate closely with cross-functional teams including Data Scientists, Engineers, and Product Managers to deliver impactful solutions
Operate and enhance our data infrastructure, ensuring seamless data movement across platforms
Support the evaluation and integration of tools that empower engineering and data science teams
Strong backend programming skills

Application process

HR Screening
Hiring manager Screening
Technical Screening with an Architect
Second Technical Screening with a Tech Lead or Data Engineer
Final Round with Hiring Manager

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

Top investors

-1% employee growth in 12 months

Glassdoor (4)

Company

Funding (last 2 of 7 rounds)

May 2021

$220m

SERIES D

Mar 2019

$60.9m

SERIES C

Total funding: $320.8m

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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