Data Engineer - InsurTech

Futureheads; London, Greater London; Remote; GBP 55,000 - 90,000; Full time

Job summary

An innovative insurance company is on the lookout for a skilled Data Engineer to join their dynamic team. This role involves bridging the gap between data science and engineering, tackling complex data challenges, and collaborating with talented professionals to develop impactful solutions. With a focus on simplicity and transparency, the company is transforming the insurance industry and making it more accessible. If you're passionate about data and technology, this is an exciting opportunity to contribute to a forward-thinking organization that values creativity and innovation.

Qualifications

• Deep expertise in batch and distributed data processing.
• Proficient in Python with strong software engineering practices.

Responsibilities

• Collaborate with data scientists and engineers to build solutions.
• Focus on complex data challenges and drive innovation.

Skills

Python

Kafka

Spark

Data Lake

Big Data Analytics

DevOps

CI/CD

Infrastructure as Code

Tools

AWS

Databricks

Redshift

PostgreSQL

Job description

Data Engineer - InsurTech - Remote (Italy-based)

We have partnered with an exciting business that is in the process of growing out their Data team, currently consisting of over 350 members!

They are a cutting-edge insurance company transforming the industry with a customer-first approach. Their work revolves around simplicity, transparency, and innovation—whether it's seamless digital claims, personalized coverage, or fair, data-driven pricing. They are growing fast and looking for passionate people to join their mission of making insurance smarter and more accessible. If you're seeking a dynamic, forward-thinking team, this is the place to be!

The tech stack:

• Python
• Kafka/Spark
• Databricks
• AWS

You will be helping bridge the gap between data science and engineering. Focusing on complex data challenges, you'll collaborate closely with data scientists and machine learning engineers to build practical, technical solutions that address real business needs. Your work will drive impactful innovation and help shape the future of our products and technology.

Key requirements:

• Deep expertise in batch and distributed data processing, as well as near real-time streaming pipelines using technologies like Kafka, Flink, and Spark.
• Proven experience building Data Lakes and Big Data analytics platforms on cloud infrastructure.
• Proficient in Python with a strong adherence to software engineering best practices.
• Skilled in relational databases and data modeling, with hands-on experience in RDBMS (e.g., Redshift, PostgreSQL) and NoSQL systems.
• Solid understanding of DevOps, CI/CD pipeline management, and Infrastructure as Code (IaC) using industry-standard practices.

Nice to haves:

• Experience with cloud platforms (they are using AWS but open to GCP and Azure).
• Experience with Databricks is a strong plus.
• Streaming technologies (Kafka is their go-to).

We encourage applicants from all backgrounds. If there is anything we can do to improve our recruitment process for you or to help you showcase your best self, please let us know. We understand some people may need extra time for assessments, alternative application methods, or interview preparation support. We are open to suggestions and committed to ensuring you feel safe and secure working with us. Futureheads is a B Corp-accredited digital recruitment agency based in London, specializing in recruiting digital and tech professionals across various fields.