Data Engineer

Join us as a Data Engineer

• You'll be the voice of our customers, using data to tell their stories and put them at the heart of all decision-making
• We'll look to you to drive the build of effortless, digital first customer experiences
• If you're ready for a new challenge and want to make a far-reaching impact through your work, this could be the opportunity you're looking for

What you'll do

As a Data Engineer, you'll be looking to design, architect, build, and maintain scalable data pipelines using AWS services and simplify our organisation by developing innovative data driven solutions through data pipelines, modelling and ETL design.

You'll be working with a team of data engineers, analysts, scientists, pricing managers and Pricing SMEs whilst driving customer value by understanding complex business problems and requirements to correctly apply the most appropriate and reusable tool to gather and build data solutions. You'll support our strategic direction by engaging with the data engineering community to deliver opportunities, along with carrying out complex data engineering tasks to build a scalable data architecture.

Your responsibilities will also include:

• Managing a portfolio of projects spanning across multiple business areas, collaborating with senior stakeholders for requirements and planning
• Building advanced automation of data engineering pipelines through removal of manual stages
• Monitoring and enhancing the performance of data storage and retrieval processes, leveraging Snowflake's capabilities and AWS tools to achieve high availability and low latency
• Embedding new data techniques into our business through role modelling, training, and experiment design oversight
• Mentoring a team of data engineers by providing guidance, coaching, and support in developing their skills and improving team performance
• Delivering a clear understanding of data platform costs to meet your departments cost saving and income targets
• Sourcing new data using the most appropriate tooling for the situation
• Developing solutions for streaming data ingestion and transformations in line with our streaming strategy

The skills you'll need

To thrive in this role, you'll need to be able to develop and implement data models and architectures that cater to business requirements, ensuring optimal performance and reliability of data pipelines, as well as a strong understanding of data usage and dependencies and experience of data governance, security, and quality, while maintaining comprehensive documentation of data processes and architectures to support team knowledge sharing. You'll also bring practical experience of programming languages alongside knowledge of data and software engineering fundamentals.

Additionally, you'll need:

• Strong coding skills using python, spark and SQL
• Experience of ETL technical design, data quality testing, cleansing and monitoring, data sourcing, and exploration and analysis
• Data engineering tooling such as Snowflake, Airflow, unified studio and s3
• Data warehousing and data modelling capabilities
• A good understanding of modern code development practices
• Experience of working in a governed, and regulatory environment
• Strong communication skills with the ability to proactively engage and manage a wide range of stakeholders

Hours
35

Job Posting Closing Date:
12/08/2025

Ways of Working:Hybrid
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