Temporary GCP Data Engineer

Ki; England; On-site; GBP 50,000 - 70,000; Part time

Job summary

A leading global insurance innovator in the UK is seeking a Mid-Senior level professional to support their data pipeline operations. In this role, you will work with finance, actuaries, and engineers to optimize data handling and reporting while ensuring compliance and data quality. The ideal candidate must have expertise in Big Query and Python, as well as experience in Agile environments. This temporary position offers a unique opportunity to contribute to a rapidly growing company focused on innovation and excellence.

Qualifications

• Experience designing data models and developing industrialised data pipelines.
• Strong knowledge of database and data lake systems.
• Hands-on experience in Big Query, dbt, GCP cloud storage.

Responsibilities

• Design, build, optimise and maintain production-grade data pipelines.
• Understand how to utilise new internal and external data sources.
• BAU ownership of data models, reporting and integrations/pipelines.

Skills

Designing data models

Developing industrialised data pipelines

Strong knowledge of database systems

Hands-on in Big Query

Proficient in Python

Knowledge of Cloud SQL

Comfortable with shell scripting

Experience with DataOps pipelines

Agile methodology experience

Tools

GCP cloud storage

Tableau Cloud

Job description

4 days ago Be among the first 25 applicants

Look at the latest headlines and you will see something Ki insures. Think space shuttles, world tours, wind farms, and even footballers’ legs.

Ki’s mission is simple. Digitally transform and revolutionise a 335‑year‑old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days.

Ki is proudly the biggest global algorithmic insurance carrier. It’s the fastest growing syndicate in the Lloyd’s of London market, and the first ever to make $100m in profit in 3 years.

Ki’s teams have varied backgrounds and work together in an agile, cross‑functional way to build the very best experience for its customers. Ki has big ambitions but needs more excellent minds to challenge the status‑quo and help it reach new horizons.

Where you come in?

While our broker platform is the core technology crucial to Ki's success – this role will focus on supporting the middle/back‑office operations that will lay the foundations for further and sustained success. We're a multi‑disciplined team, bringing together expertise in software and data engineering, full stack development, platform operations, algorithm research, and data science. Our squads focus on delivering high‑impact solutions – we favour a highly iterative, analytical approach.

What you will be doing:

• Work with both the business teams (finance and actuary initially), data scientists and engineers to design, build, optimise and maintain production‑grade data pipelines and reporting from an internal Data warehouse solution, based on GCP/Big Query.
• Work with finance, actuaries, data scientists and engineers to understand how we can make best use of new internal and external data sources.
• Work with our delivery partners at EY/IBM to ensure robustness of design and engineering of the data model/MI and reporting which can support our ambitions for growth and scale.
• BAU ownership of data models, reporting and integrations/pipelines.
• Create frameworks, infrastructure and systems to manage and govern Ki’s data asset.
• Produce detailed documentation to allow ongoing BAU support and maintenance of data structures, schema, reporting etc.
• Work with the broader Engineering community to develop our data and MLOps capability infrastructure.
• Ensure data quality, governance, and compliance with internal and external standards.
• Monitor and troubleshoot data pipeline issues, ensuring reliability and accuracy.

What you will bring to the role:

• Experience designing data models and developing industrialised data pipelines.
• Strong knowledge of database and data lake systems.
• Hands‑on experience in Big Query, dbt, GCP cloud storage.
• Proficient in Python, SQL and Terraform.
• Knowledge of Cloud SQL, Airbyte, Dagster.
• Comfortable with shell scripting with Bash or similar.
• Experience provisioning new infrastructure in a leading cloud provider, preferably GCP.
• Proficient with Tableau Cloud for data visualization and reporting.
• Experience creating DataOps pipelines.
• Comfortable working in an Agile environment, actively participating in approaches such as Scrum or Kanban.

Ki Values:

• Know Your Customer: Put yourself in their shoes. Understand and balance the different needs of our customers, acting with integrity and empathy to create something excellent.
• Grow Together: Empower each other to succeed. Recognise the work of our teams, while celebrating individual success. Embrace diverse perspectives so we can develop and grow together.
• Be Courageous: Think big, push boundaries. Don’t be afraid to fail because that’s how we learn. Test, adapt, improve – always strive to be better.

Our culture:

At Ki, we are committed to creating an inclusive environment where every colleague is valued and respected for who they are and can do the best work of their careers.

Inclusion is a critical foundation of our business and people strategies and supports our vision of becoming a market‑leading, digital and data‑led specialty insurance business. An inclusive workplace fuels innovation because creativity thrives when everyone feels valued, respected, and supported to drive it. So, no matter who you are, where you’re from, how you think, or who you love, we believe you should be you.

Seniority level

Mid‑Senior level

Employment type

Temporary

Job function

Insurance