Senior Data Engineer | £60,000

## Senior Data & Analytics Engineer 60,000 London ## THE OPPORTUNITY An exciting opportunity has arisen for an experienced **Senior Data & Analytics Engineer** to join an internationally recognised organisation operating within the luxury hospitality sector. The business is looking to strengthen its data capabilities, moving away from traditional reporting methods towards a more connected, efficient and insight-driven approach. You'll play an important role in improving how information is collected, structured and used across the organisation, working closely with senior stakeholders to support strategic decisions. With a small, collaborative technology team, this position offers genuine autonomy and the opportunity to make a visible impact. ## WHAT YOU'LL BE DOING This is a varied position combining **data engineering, business intelligence and analytics**, with responsibility for developing the organisation's data capabilities. Your responsibilities will include: - Building and optimising data integration workflows using **Azure Data Factory** - Developing and managing data solutions within **Snowflake** - Connecting information from multiple business systems into reliable datasets - Improving existing BI dashboards and reporting capabilities - Using SQL to extract, transform and analyse complex information - Identifying data inconsistencies and improving overall data accuracy - Working directly with business departments to understand reporting challenges - Producing meaningful insights to support commercial and operational decisions - Supporting future developments involving **AI and advanced analytics** ## WHAT WE'RE LOOKING FOR We're interested in speaking with technically strong data professionals who can also understand the commercial value of the information they're working with. **Key requirements:** - Minimum **3 years' experience** in a Data Engineering, BI or Analytics position - Proven hands-on experience with **Azure Data Factory** - Strong working knowledge of **Snowflake** - Advanced SQL and database experience - Experience developing ETL/ELT processes and data pipelines - Reporting and visualisation experience using **Tableau or Power BI** - Knowledge of Python or a comparable programming language - Experience handling large datasets from multiple sources - Confidence communicating technical findings to non-technical stakeholders - Ability to manage projects independently and recommend improvements Previous experience contributing to data strategy, improving reporting environments or modernising existing data infrastructure would be particularly valuable. ## WHY CONSIDER THIS ROLE? Rather than joining a large data department with established processes, you'll have the opportunity to help shape how data is managed and utilised throughout the business. You'll work across both engineering and analytics, gaining exposure to business-wide projects and contributing directly to how the organisation develops its data strategy. ## SALARY & LOCATION **60,000 ** **Central London** **Hybrid working 3 days per week in the office** Flexible working hours ## APPLY NOW If you're a **Data Engineer, Analytics Engineer or BI professional** with strong Azure Data Factory and Snowflake experience, I'd be interested in discussing this opportunity with you. Please send your CV or contact me directly for a confidential conversation. [](mailto:) **Pearson Carter** specialises in connecting technology professionals with leading organisations across the UK and internationally.