Senior Data Engineer

Azure Data Engineer – Remote (UK Based, some travel to West Midlands) – £70k-£80k

Are you an experienced Azure Data Engineer looking to make an impact in a growing data-driven organization? We are seeking a hands-on professional to join a high-performing team tasked with building and enhancing a modern Azure data platform.

About the Role:

In this role, you will play a key part in developing ETL pipelines, optimizing data integration processes, and supporting data-driven decision-making across the business. You’ll collaborate with stakeholders to understand data requirements, contribute to architectural decisions, and support the migration of reporting services to Azure.

Key Responsibilities:

• Design, build, and maintain ETL pipelines using Azure Data Factory, Azure Data Lake, Synapse, and Databricks.
• Design and build a greenfield Azure data platform to support business-critical data needs.
• Collaborate with stakeholders across the organization to gather and define data requirements.
• Assist in the migration of reporting services from on-premises to Azure.
• Evaluate and validate design decisions to ensure optimal data architecture.
• Work closely with marketing and insights teams to provide actionable data outputs.
• Opportunity to transition into a leadership role, supporting the development of junior team members.

Key Skills & Experience:

• 3+ years of experience in Azure (ADF, Data Lake, Synapse).
• Strong SQL skills for data integration and reporting.
• Experience with Power BI for visualization and analytics.
• Familiarity with Python (preferred but not currently in use, planned for future projects).
• Knowledge of modern data warehousing techniques.
• Ability to work effectively in both Waterfall and Agile environments.
• Excellent communication skills for stakeholder engagement.

Interview Process:

1. Informal Chat – Focused on team fit and relationship building.
2. Technical Interview – Exploring technical expertise, project experience, and problem-solving skills.
3. Final Stage – Office visit to meet the leadership team and discuss future plans.

If you're passionate about data engineering, eager to expand your Azure expertise, and excited to be part of a collaborative and growing team, we’d love to hear from you!