Location
London, Greater London

Hours
Full Time

Salary
£49,700 - £52,000 per year

About the Role
Hyde is looking to recruit a Data Engineering Analyst to join our Data Engineering & Information Systems Architecture team within Digital and Information. If you enjoy solving technical problems and turning data into reliable, usable information, this is an opportunity to apply your skills to work that supports reporting, analysis and service improvement. Working with Senior and Lead Data Engineers, analysts and business colleagues, you’ll develop and maintain data pipelines and integrations, bring agreed data sources into Snowflake and help keep our data accurate, secure and dependable. You’ll deliver defined technical work within agreed designs and standards, with guidance from senior colleagues on more complex decisions.

Key responsibilities include building, maintaining and improving data pipelines and integrations using approved tools and engineering practices; transforming, cleansing and validating data to meet agreed quality requirements for reporting and analysis; monitoring scheduled processes, investigating routine failures and escalating issues requiring specialist input; testing changes, maintaining version-controlled code and documenting data flows to ensure solutions can be supported and changed safely; working collaboratively with colleagues to understand requirements, deliver agreed outputs and identify practical opportunities for automation and improvement; and applying data governance, security and UK GDPR requirements to your daily work.

Working at Hyde means embracing our values of being customer driven, inclusive, collaborative and innovative. In this role, you will work openly with colleagues, take pride in the quality of your work and find practical ways to make our data processes more reliable and effective.

Why Join Hyde? We believe in supporting our colleagues to do their best work while building rewarding careers. Alongside a competitive salary, we offer a comprehensive benefits package designed to support your wellbeing, financial security and work–life balance. Benefits include flexible and hybrid working, generous holiday allowance, pension scheme, healthcare and wellbeing support, and access to a wide range of flexible benefits through our iFlex scheme. Equity, diversity and inclusion are central to life at Hyde, and we are committed to creating a workplace where everyone feels respected, valued and able to be themselves. Hyde is a disability confident employer and supports reasonable adjustments throughout the recruitment process.

Experience
Practical experience of developing or supporting data pipelines, integrations or data warehouse processes in a cloud-based or comparable environment. Working knowledge of SQL and Python, or similar languages, with the ability to write, test and troubleshoot code. Understanding of data modelling, ETL or ELT, data quality and warehousing concepts. Familiarity with Snowflake, AWS or equivalent technologies is relevant.

About you
A methodical approach to investigating technical issues, organising your workload and recognising when to seek guidance. Clear communication and collaborative working skills. Experience of version control, technical documentation and controlled development practices.

Qualifications
No specific qualifications are stated, but relevant technical skills and experience as described are essential.