Data Engineer

Ki Insurance; City of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading insurance company in London is seeking a Data Engineer to join their Portfolio Data squad. The role involves designing and building data pipelines to optimize insurance processing using algorithms and advanced data solutions. Candidates should have strong software engineering skills and experience with Python, cloud platforms, and data governance practices. This position offers a competitive remuneration package and the chance to work in an inclusive culture.

Benefits

Competitive remuneration package

Regular reviews and recognition for efforts

Qualifications

• Strong experience in software engineering.
• Proficiency in Python for automation tasks.
• Background in various storage solutions.

Responsibilities

• Design and build data pipelines for the Ki algorithm.
• Maintain production-grade data frameworks.
• Collaborate with data scientists and engineers.

Skills

Software engineering

Python for API development

SQL databases (PostgreSQL, MySQL, BigQuery)

API development (FastAPI or Flask)

Cloud platforms (GCP, AWS)

Infrastructure as Code (IAC)

CI/CD pipelines

Data modelling and ETL/ELT

Collaborative mindset

System design skills

Job description

Please visit our careers site to find out more about working at Ki

Job Details: Data Engineer

Full details of the job.

Vacancy Name

Employment Type Permanent

Location London

Role Details

Who are we? Ki insures based on a mission to digitally disrupt and revolutionise a 335-year-old market. Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds. Ki is the biggest global algorithmic insurance carrier and the fastest growing Lloyd\'s syndicate. Our teams work in an agile, cross-functional way to build the best experience for our customers.

Where you come in? You\'ll be joining the Portfolio Data squad to tackle critical challenges in transforming how we manage insurance exposure and risk aggregations. The current data estate is siloed and hard to scale, so the team is designing a robust solution to support seamless data ingestion, scalable storage, and downstream use cases, including developing our algorithmic underwriting capability. The squad is building a trusted source of truth for insurance exposure data in collaboration with the Exposure Management team, delivering intuitive dashboards for Portfolio Management. By joining us, you\'ll help modernise our data landscape and empower the business with faster, smarter insights.

Responsibilities

• Work with actuaries, data scientists and engineers to design, build, optimise and maintain production-grade data pipelines to feed the Ki algorithm
• Work with actuaries, data scientists and engineers to understand how we can make best use of new internal and external data sources
• Design and engineer a data model which can support growth and scale
• Create frameworks, infrastructure and systems to manage and govern Ki\'s data assets
• Collaborate with the broader Engineering community to develop data and MLOps capability infrastructure

Qualifications

• Strong experience in software engineering with proficiency in a language such as Python for API development, data engineering and automation tasks
• Background in storage solutions such as PostgreSQL, MySQL, and BigQuery
• Experience in API development using FastAPI or Flask for data access and integration
• Solid knowledge of cloud platforms (GCP and/or AWS) with the ability to design and deploy data solutions at scale
• Experience with IAC and CI/CD pipelines for reliable, automated deployments
• Understanding of data modelling, ETL/ELT and data governance best practices
• Collaborative mindset to work with stakeholders such as Exposure Management, Portfolio Management, and Data Science
• Curiosity, adaptability, and enthusiasm for agile, squad-based environments
• Experience working with large, complex, siloed data estates and a track record of simplifying processes
• Foundational system design skills to architect scalable, maintainable data systems

Ki Values

• Know Your Customer: Understand and balance the needs of our customers, acting with integrity and empathy
• Grow Together: Empower each other to succeed and value diverse perspectives
• Be Courageous: Think big, push boundaries, learn from failure, and continuously improve

Our culture

Ki is committed to an inclusive environment where every colleague is valued and can do the best work of their careers. Inclusion supports our vision of becoming a market-leading, digital and data-led specialty insurance business. We believe you should be you, no matter who you are or where you’re from.

What we offer

You\'ll receive a highly competitive remuneration and benefits package. We review these regularly and acknowledge extraordinary effort by teams or individuals. If this sounds like a role and culture you\'d enjoy, apply now!