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:
- Informal Chat - Focused on team fit and relationship building.
- Technical Interview - Exploring technical expertise, project experience, and problem-solving skills.
- 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!