Data Engineer (Azure) - £500pd - ID47221

• Take ownership from day one - step into a role where your experience is trusted, and your impact is immediate
• Shape and improve a live data platform - help stabilise and evolve an existing Azure-based environment
• Work across varied challenges - from pipeline optimisation to data modelling and architectural input
• Be part of a collaborative, supportive team - working closely with analytics, business stakeholders, and technical peers
• Make a tangible difference - help move a business from reactive data handling to a more structured, scalable approach

What You’ll Be Working With

You’ll be immersed in a modern Microsoft data ecosystem, including:

• Power BI and downstream analytics use cases
• Data modelling across warehouse/lakehouse environments
• Integration of multiple data sources (APIs, databases, cloud storage)
• Performance optimisation, data quality, and governance practices

This role blends hands-on engineering with elements of data architecture, offering plenty of scope to influence how things are built moving forward.

This role would suit someone who:

• Enjoys working in fast-paced, evolving environments where priorities can shift
• Is comfortable stepping into partially structured or “messy” data landscapes and improving them
• Brings a calm, solution-focused mindset to problem-solving
• Values collaboration and knowledge-sharing over ego
• Takes pride in delivering reliable, high-quality data solutions, * Strong SQL and data modelling expertise
• Proven experience building and maintaining ETL/ELT pipelines
• Hands-on experience with the Microsoft Azure data platform
• Familiarity with tools such as Azure Data Factory, Synapse, or similar
• Experience integrating data from varied sources (APIs, files, databases)
• Understanding of performance optimisation and data quality best practices
• Exposure to data architecture concepts or working alongside architects

Bonus (but not essential)

• Experience in large-scale or complex data environments
• Familiarity with governance, security, or compliance considerations
• Any exposure to cloud-native data processing frameworks, * Small, collaborative data team with strong domain knowledge
• Close alignment with analytics and business stakeholders
• A mix of planned improvements and reactive delivery work
• A genuine opportunity to bring structure and influence direction

This is an ideal role for someone who enjoys rolling up their sleeves while also thinking strategically.