What is a Data Engineer at Shift Technology?
A Data Engineer at Shift Technology plays a pivotal role in transforming how the global insurance industry detects fraud and automates complex claims decisions. Operating at the intersection of big data, artificial intelligence, and enterprise SaaS, you will design and build the robust data pipelines that ingest, clean, and structure massive, highly sensitive datasets. Your work directly enables the company's proprietary machine learning models to run efficiently and deliver real-time, highly accurate insights to insurance fraud investigators.
The impact of this position is immense. Insurance data is notoriously messy, unstructured, and heterogeneous, coming from hundreds of different insurers worldwide in varying formats. As a Data Engineer, you are responsible for creating scalable, reproducible ingestion frameworks that can normalize this data at scale. Without your pipelines, the advanced AI models developed by the data science teams would lack the clean fuel they need to operate, making your role foundational to the company's core value proposition.
Joining the engineering team means tackling complex data architecture challenges alongside top-tier technical talent. You will work on optimizing data processing systems that handle millions of claims daily, balancing the need for extreme data security with high throughput and low latency. It is a highly rewarding environment for engineers who enjoy solving tangible, real-world problems where mathematical precision and clean code directly translate to catching financial crime.



