Senior Data Engineer, Shift Technology

Salary not provided

+ Equity

SQL

Python

.NET

Elasticsearch

Spark

.NET Core

dbt

Mid and Senior 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

Elasticsearch

Spark

.NET Core

dbt

Mid and Senior 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

3+ years of experience in data modeling
Experience with NoSQL data stores (e.g., graph, document, etc.)
Proficiency with data transformation tools (e.g., dbt, SQLMesh, PySpark)
Strong programming skills (e.g., Python, SQL, or C# .NET)
Knowledge of big data technologies such as Spark
Familiarity with data warehousing
Experience with ML serving is a plus
You often come up with new ideas to solve complex problems
You want your work to have an impact: rather than a cog, you see yourself as the engine
You are used to work closely with cross-functional teams including data scientists or engineers
You can communicate fluently in English

What the job involves

As a Data Engineer, you will play a pivotal role in designing, enhancing, and scaling our cutting-edge data platform
Join us in pushing technological boundaries and empowering teams with the tools to succeed
Design and Define: Collaborate on the vision and architecture of Shift’s data platform to meet evolving business and technical needs
Tool Selection and Implementation: Research, evaluate, and implement the best tools and frameworks to optimize our data infrastructure
Innovation and Experimentation: Stay ahead of the curve by monitoring technological advancements, conducting research, and building proof-of-concepts (POCs) to test new solutions
Upskill and Mentor: Share your expertise by providing technical guidance, mentoring peers, and fostering a culture of learning and innovation

Application process

HR Screening
Technical Screening with a senior back-end engineer
Second Technical screening with a 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

$57.7m

SERIES C

Total funding: $317.4m

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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