Data Engineer

Job Title: Data Engineer
Reporting to: Head of Innovation
Date of Issue: July 2025

Role Objective

Reporting to the Head of Innovation, you will join a newly formed team to support the delivery of a major data transformation initiative. As a hands on and forward thinking Data Engineer, you’ll be instrumental in designing and implementing a robust, scalable data platform that underpins the business’s strategic growth. This role offers a unique opportunity to help shape a best in class data engineering function from the ground up.

Duties & Responsibilities

• Design, build, and maintain scalable data pipelines for collecting, processing, and storing large datasets.
• Develop and optimize database systems, ensuring data integrity, performance, and security.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and provide support for analytics.
• Implement data integration and transformation processes (ETL) from various sources to ensure high-quality, accessible data.
• Ensure data integrity and reconciliation across multiple platforms to maintain accuracy in reporting and analytics.
• Monitor and optimise data infrastructure performance to ensure high reliability.
• Undertake all other duties as reasonably required.

This Job Description may be reviewed and subsequently amended to better reflect any changes required in the role.

Person Specification

Qualifications

• Batchelors/Masters Degree in Finance/Economics or similar discipline.
• Excellent quantitative academic credentials (Maths / statistics, engineering, science).

Knowledge and experience

• Ideally a working knowledge of Azure Cloud Platforms, or strong transferable skills from other cloud platforms.
• Experience using SQL for database management essential.
• Proficiency in programming languages (e.g., Python, Java, or Scala) desirable.
• Experience with data pipeline frameworks and ETL tools and familiarity with big data technologies.
• Understanding of version control principles and tools essential.
• Knowledge of data integration tools and languages (e.g., APIs, JSON, XML, Web Services) desirable.
• The ability to resolve complex and non-routine issues and identify improvements in the testing and validation of data accuracy.
• Enthusiasm to develop your skills, take responsibility and work within an ambitious and rapidly developing data team.
• Ability to effectively participate in cross-functional problem-solving teams.
• Strong knowledge of Microsoft Word, PowerPoint, and Outlook, and Excel (expert).
• Experience leading team members or small projects an advantage.

Personal Skills

• Possess strong analytical skills and a natural aptitude for problem solving.
• Demonstrates strong commercial acumen and a proactive approach to driving results.
• Highly proficient in presenting ideas and information clearly, both in writing and in person.
• Excellent judgment and decision-making skills.
• Strong organisational skills; attention to detail.
• Demonstrates a high level of intellectual curiosity and a drive for continuous learning.
• Proven hard work ethic, hunger and motivation to succeed.

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