Data Engineer

Job Type:

Permanent

Build a brilliant future with Hiscox  

Role Overview

The Junior Data Engineer is an entry-level, hands-on technical role within the RE technology team, supporting the development and maintenance of data pipelines and data products that support business analytics, underwriting, and decision-making.

You will work under the guidance of Lead and senior Data Engineers, alongside Data Scientists, Product Owners, and business stakeholders, to help deliver secure, reliable, and cost-effective data solutions across cloud and on-premises platforms.

This role focuses on learning core data engineering skills, delivering quality work with support, and contributing to the wider Data Engineering Chapter while adopting best practices in data engineering, DevOps, and automation.

About Hiscox Re & ILS

Hiscox Re is in Bermuda and London and underwrites reinsurance risks from around the world on behalf of our own and other people’s capital. The team of over 100 smart, enthusiastic individuals are committed to providing top quality service to brokers and clients across a broad range of reinsurance products. Our approach is simple; match the best underwriting risk against globally diversified capital. Our proactive, product-led underwriting approach is complemented by a commitment to world class service and purpose-built analytics and systems. We know our people are our biggest asset so finding and retaining the best talent is critical to achieving our vision.

Key Responsibilities

Data Engineering & Delivery

·         Support the build and maintenance of data pipelines and data products across the data lifecycle

·         Implement well-defined data engineering tasks under the guidance of senior and Lead Data Engineers

·         Help ensure data is accurate and accessible for analytics and reporting

·         Contribute to incremental delivery of business value using agile practices

·         Assist with Proofs of Concept and experimentation

Technical Development & Best Practice

·         Learn and apply best practices in cloud data engineering and DevOps, including CI/CD and testing

·         Develop using modern platforms such as Snowflake, Azure, and GCP

·         Write clear, maintainable code using Python, SQL, dbt, and orchestration tools

·         Take part in code reviews and act on feedback

·         Assist with monitoring and troubleshooting of pipelines

Collaboration & Support

·         Work closely with Data Engineers, Data Scientists, and stakeholders

·         Support Product Owners in the delivery of data solutions

·         Participate in the Data Engineering Chapter and knowledge sharing

·         Help business users with data understanding

Data Governance & Quality

·         Follow data governance, quality, and security best practices

·         Support validation, lineage, and monitoring within pipelines

·         Contribute to documentation of data products and pipelines

Cost & Performance Awareness

·         Develop an awareness of cost-efficient solution design

·         Support the optimisation of pipelines for performance and scalability

·         Assist with monitoring of platform usage

Candidate Profile

We are looking for a motivated individual with a genuine interest in data and technology who is eager to build a career in Data Engineering. You will have immense curiosity and a passion for data, along with a willingness to learn modern cloud technologies and engineering practices. You will bring strong problem-solving instincts and the communication skills to work effectively within a collaborative engineering team. This role is ideally suited to graduates, career starters, or those with early experience in data or software development looking to specialise in Data Engineering.

Experience Required

Technical Experience

·         Some experience or exposure to Data Engineering, software development, or analytics (typically 1–2 years)

·         Working knowledge of SQL

·         Basic programming experience, ideally in Python

·         Awareness of cloud platforms such as Azure or GCP

·         Awareness of data warehouse technologies such as Snowflake

·         Exposure to orchestration tools such as Prefect, Airflow, or ADF is beneficial

·         Exposure to dbt or similar transformation tools is beneficial

·         Familiarity with source control and an interest in CI/CD practices and automated testing

Data Knowledge

·         Basic understanding of data modelling concepts (OLTP, OLAP)

·         Familiarity with structured and semi-structured data

·         Exposure to SQL databases

Delivery Mindset

·         Willingness to take ownership of assigned tasks and deliver them to completion

·         Pragmatic problem-solving approach

·         Interest in working in agile environments

Collaboration

·         Strong communication skills

·         Ability to work in cross-functional teams

·         Openness to feedback and coaching

Desirable

·         Degree in Computer Science, Engineering, Mathematics, Data Science, or a related field

·         Awareness of data governance concepts

·         Exposure to BI tools such as Power BI or Dataiku

·         Exposure to legacy tools such as SQL Server or SSIS

Work with amazing people and be part of a unique culture