Job Type:
Permanent
Build a brilliant future with Hiscox
Company description
Hiscox is a diversified international insurance group with a powerful brand, strong balance sheet and plenty of room to grow. Listed on the London Stock Exchange and headquartered in Bermuda (with the bulk of group leadership sitting in London), Hiscox has over 3,000 staff across 14 countries and 34 offices.
Structured by geography and product, Hiscox’s long-held business strategy has helped them grow from a niche Lloyd’s underwriter to an international insurance group with a powerful consumer brand. Hiscox is comprised of the following business lines:
- London Market
- Reinsurance & Insurance Linked Securities (ILS)
- Retail:
- Hiscox USA
- Hiscox UK
- Hiscox Europe
For the financial year 2022 GWP grew to $4.425m, with net premiums earned growing to $2.928m.
Hiscox’s Purpose: “We give people and businesses the confidence to realise their ambitions”
Hiscox values:
- Courage; dare to take a risk
- Human; clean, fair, and inclusive
- Ownership; passionate, commercial, and accountable
- Integrity; do the right thing, however hard
- Connected; together, build something better
The Team
This role forms part of the Enterprise Technology (ET) team lead by the CTO for ET who are accountable for the full life cycle of around 140 applications. ET has several service verticals, including Business Applications made up of 6 value streams and an Enterprise Application team, Data, End User Experience, Core Engineering, Architecture, and Portfolio Management. The role will sit within the Data service vertical, led by a Head of Data Engineering, reporting into the Lead Data Engineer.
Technical Skills
- 6+ years of experience in Data Engineering, including designing, developing, and supporting data warehouse and data platform solutions at scale.
- 3+ years of experience with GCP or equivalent modern data platforms such as Databricks or Snowflake.
- Strong development experience using Python and SQL for data engineering and ETL/ELT solutions.
- Strong understanding of data warehouse architecture, dimensional/data modelling principles, and ETL/ELT best practices.
- Experience with modern development practices, including source control, code and configuration management, testing, build processes, and CI/CD pipelines for automated deployments.
- Ability to translate business requirements into technical designs, working with stakeholders and other engineering team members to estimate and deliver end-to-end solutions.
- Experience working within Agile delivery models, collaborating across engineering, product, and business teams.
- Working knowledge of AI tools and Large Language Models (LLMs), with an understanding of how they can be applied within data engineering and development workflows.
Our nice to haves:
- Insurance industry experience
- Exposure to BI reporting toolsets – ideally Power BI
- Demonstrable experience in mentoring or supporting the development of junior team members
- Capability to architect highly scalable distributed systems, using different tools
- Intellect and gravitas to influence and gain credibility with stakeholders
- Excellent written and verbal communication skills
- Creative, proactive, logical and innovative – you do not accept the status quo
- Highly results driven, with the energy and determination to succeed in a fast paced environment
- Demonstrate a commitment to quality, service and personal ownership
- Deal well with ambiguity and enable a consensus to be reached
- An inquisitive mind-set and desire to understand both data and business requirements
- Continuous self-improvement and learning
Work with amazing people and be part of a unique culture
