Temporary GCP Data Engineer

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

Job summary

A leading digital insurance firm is seeking a Temporary GCP Data Engineer to design and maintain data pipelines. You will collaborate closely with finance and actuary teams, utilizing GCP technologies to ensure data quality and analytics. Ideal candidates will have extensive experience with BigQuery, Python, and working in Agile environments, contributing to innovative solutions across data processing.

Qualifications

• Experience designing data models and developing industrialised data pipelines.
• Hands-on experience in BigQuery, dbt, GCP cloud storage.
• Proficient in Python, SQL, and Terraform.

Responsibilities

• Design, build, optimise and maintain production-grade data pipelines.
• Collaborate with various teams to understand and utilize data sources.
• Ensure data quality and monitor data pipeline issues.

Skills

Designing data models

Building data pipelines

BigQuery

Python

SQL

Terraform

Tableau Cloud

DataOps pipelines

Agile methodologies

Tools

GCP cloud storage

Cloud SQL

Airbyte

Dagster

Job description

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

Applicant Portal

Job Details: Temporary GCP Data Engineer

Full details of the job.

Overview

Vacancy Name: Temporary GCP Data Engineer. Employment Type: Temporary Worker. Location: London.

Role Details

Who are we? Ki focuses on digitally transforming a 335-year-old market. Ki works with Google and UCL to provide insurance quotes using algorithms, machine learning and large language models. Ki is the biggest global algorithmic insurance carrier and is growing in Lloyd\'s of London. The teams are cross-functional and agile.

Where you come in? This role supports middle/back-office operations and collaborates with software and data engineering, full stack development, platform operations, algorithm research, and data science. Focus on delivering high-impact solutions in an iterative, analytical way. You will design and develop complex data processing modules and reporting using BigQuery and Tableau. You will work with the Ki Infrastructure/Platform Team to architect and operate the core of the Ki Data Analytics platform.

What you will be doing

• Work with 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/BigQuery
• Work with finance, actuaries, data scientists and engineers to understand how to make best use of new internal and external data sources
• Collaborate with EY/IBM to ensure robustness of design, engineering of the data model/MI and reporting to support 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 for ongoing BAU support and maintenance of data structures, schema, reporting, etc.
• Work with the broader Engineering community to develop 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 BigQuery, 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.

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