Head of Data Platform

New Malden, England, United Kingdom

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ABOUT HOMEPROTECT

We founded Homeprotect on a simple principle – to provide protection to people underserved by the home insurance industry.

We’re experts at insuring people who want to build or buy a unique property, renovate, rent a home or leave it unoccupied. We can cover people who travel a lot, run a business from home or even collect rare treasures. We protect people who love living in a listed building, having a view of a river or sunbathing on a flat roof.

We can do this because our smart tech enables our customers to get an instant, online quote to cover a huge range of complex needs and our UK customer support teams are on hand to provide information and support when only a real person will do.

Our insurance has already empowered hundreds of thousands of people to protect their homes and the things they love. But we’re not content with being the leading provider of what’s called ‘non-standard’ insurance. We believe there’s no such thing as ‘standard’. We’re all unique and we all deserve home insurance designed with our individual needs in mind – something our combination of real people and smart tech enables us to do.

Our simple promise? Whoever you are and wherever you live, with Homeprotect we’ve got you covered.

WHAT IT’S LIKE TO WORK HERE

Our customers come from all walks of life and so do our people. We’re a small but perfectly formed team, made up of insurance industry specialists alongside a diverse mix of technologists, data scientists and customer and marketing champions from all sorts of industries and backgrounds. We all bring our individual expertise, an appetite for innovation and a shared ambition to empower people to protect their homes and the things that they love.

Working in a fast-paced environment where change happens regularly is how we do things. But we also recognise that you’ll do your best work when you have the right balance, and that’s why we have fully embraced hybrid working giving our teams the flexibility to choose the right location and working hours for them. We prefer to focus on the outputs of their work, not where they complete it. That said, there will be times when getting together in one location makes sense, but day-to-day, our teams have the freedom to decide where to work and we trust that they’ll make the right decision balancing the business needs and their own preferences.

Most companies think their culture is great, however at Homeprotect, we have the proof to back this up. We have been recognised externally as a Great Place to Work for the last five consecutive years.

Sound good? Read on to find out more about joining our team…

KEY RESPONSIBILITIES

As our Head of Data Platform, you will be instrumental in the successful migration of our existing Azure data warehouse to Google BigQuery, laying the foundation for a modern, scalable, and reliable data platform. You’ll work closely with stakeholders across the business to ensure that our data architecture supports business intelligence, analytics, and data science needs.

This is a hands-on leadership role, combining deep technical experience, strong project delivery skills, and people leadership. You will directly manage a team of data engineers and collaborate with pricing, analytics, IT, and business stakeholders. Your team will also be responsible for establishing and enforcing DevOps and FinOps best practices.

KEY RESPONSIBILITIES 

  • Lead the end-to-end migration of the existing data warehouse to Google BigQuery, guiding the internal team and collaborating effectively with our implementation partner.
  • Own and evolve the data platform strategy, architecture, and roadmap.
  • Ensure robust data governance, quality, and security throughout the migration and beyond.
  • Collaborate with key business units to drive adoption and effective usage of the new platform.
  • Manage and mentor a team of data engineers, fostering a culture of technical excellence and collaboration.
  • Define and enforce best practices in data modelling, ETL/ELT processes, and pipeline monitoring.
  • Work closely with stakeholders across analytics, pricing, operations, finance, and product to understand their data needs and ensure the platform meets them.
  • Manage project timelines, risks, dependencies, and budget where appropriate.
  • Champion DevOps/DataOps practices, CI/CD for data pipelines, and infrastructure-as-code where applicable.
  • Stay abreast of new developments in data architecture and cloud technologies and bring innovation into the team.

Requirements

We would love to hear from people with the following skills and experience for this role:  

Essential

  • 5+ years of experience working in data engineering, data warehousing, or a similar field.
  • Proven experience delivering a significant data warehouse migration, ideally to Google BigQuery.
  • Deep hands-on expertise with BigQuery and other Google Cloud Platform (GCP) services, such as Cloud Storage, Dataflow, Pub/Sub, Dataplex, and IAM.
  • Proven track record of leading and managing technical teams, with excellent people development skills.
  • Strong project management skills, with experience running complex data initiatives.
  • Strong knowledge of modern data engineering, including SQL, Python, Airflow, Dataform/DBT, Terraform, or similar tools.
  • Understanding of data architecture patterns (e.g., lakehouse, event-driven pipelines, star/snowflake schemas).
  • Excellent communication and stakeholder management skills.
  • Experience working in agile environments and cross-functional teams.

Desirable

  • Experience in insurance or regulated industries.
  • Familiarity with data privacy, GDPR, and data security practices.
  • Exposure to business intelligence tools (e.g., Looker, Power BI) and ML/AI.

Benefits

We think we have a fantastic company culture and welcome new team members with open arms. We also offer a great range of benefits, including:

  • A genuinely flexible approach to work. We are really supportive of you flexing your hours and location to help you keep everything in your life in balance
  • Opportunities to focus on your professional growth whether that’s through training or other personal development opportunities - we want you to build your long-term career with us
  • 50% discount for employees and 15% discount for friends and family on home insurance
  • An in-house wellbeing programme including seminars and workshops from wellbeing coaches and professionals
  • Home working starter kit and money to spend on additional equipment you may need
  • Charitable giving scheme, so you can donate to our partner charity, or one of your choice
  • The opportunity to work alongside brilliant people, because this isn’t something that every organisation can offer!

On top of that, we also offer all the standard stuff, like:

  • 25 days’ holiday (plus bank holidays) and the ability to buy and sell >5 days annually
  • Private medical cover
  • Life insurance
  • Annual discretionary bonus scheme
  • Pension contribution
  • Free fruit and really good coffee for the days you come into the office
  • Local and national retail discounts

Have we captured your imagination? If so, we’d love to hear from you!

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Leadership Jobs

Tags: Agile Airflow Architecture Azure BigQuery Business Intelligence CI/CD Dataflow Data governance DataOps Data pipelines Data warehouse Data Warehousing dbt DevOps ELT Engineering ETL Finance GCP Google Cloud Looker Machine Learning Pipelines Power BI Privacy Python Security Snowflake SQL Terraform

Perks/benefits: Career development Flat hierarchy Flex hours Gear Health care Medical leave Salary bonus Snacks / Drinks Travel

Region: Europe
Country: United Kingdom

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