Senior Data Engineer (Azure)

Location: London or Newcastle Upon Tyne

(but can be based anywhere in the UK as travel is very minimal)

The opportunity

We're looking for an experienced Senior Data Engineer to join a growing technology team and play a key role in building and evolving a modern data platform.

You’ll be responsible for designing, building and supporting robust data pipelines, integrating data from multiple sources and transforming complex datasets into high-quality information that can be used across the organisation.

This is a hands-on engineering role where you’ll have genuine ownership of the data landscape and the opportunity to make a visible impact on how data is collected, processed, governed and consumed.

What you’ll be doing

• Design, build, maintain and support scalable data pipelines using Python and SQL.
• Integrate data from disparate business and system sources.
• Develop automated solutions that improve efficiency and reduce manual processes.
• Work with large and complex datasets to improve data quality and reliability.
• Design and develop data structures to support reporting and analytics.
• Translate business requirements into robust technical data solutions.
• Build prototypes and iterate quickly to solve emerging data challenges.
• Prepare and structure data for advanced analytics and predictive modelling.
• Work closely with stakeholders and technical teams to understand data requirements.
• Take ownership of data engineering solutions from development through to production.

What we’re looking for

We're looking for a senior-level Data Engineer with strong hands-on engineering experience across modern data platforms.

You’ll ideally have:

• Experience with Azure Databricks is essential
• Advanced SQL skills.
• Proven experience building and maintaining production data pipelines .
• Strong experience with Azure Data Factory .
• Experience working with Azure Data Lake / ADLS Gen2 .
• Strong understanding of data warehousing and data modelling .
• Knowledge of database design and normalisation principles.
• Experience preparing data for Power BI and analytical reporting.
• Experience working in an Agile engineering environment.
• A track record of taking ownership of data engineering solutions and delivering them into production.

We're particularly interested in engineers who are comfortable getting hands-on with the technology, solving complex data problems and working collaboratively with stakeholders.

What you’ll get

• 30 days' annual leave plus public holidays
• Strong employer pension contribution
• Income protection and life assurance
• Employee assistance and wellbeing support
• Training and professional development opportunities
• Access to extensive online learning resources
• Cycle to Work scheme
• Electric Vehicle lease scheme

We're looking for someone who is technically strong, commercially aware and comfortable taking ownership.

You’ll be someone who can operate independently, understand the wider business context behind the data you’re working with, and build engineering solutions that are reliable, scalable and genuinely useful.

Candidates must have unrestricted eligibility to work in the UK. Visa sponsorship is not available for this position.

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