Job Title: Data Engineering Manager

Overview:

We are seeking a Data Engineering Manager to lead a team of data professionals within a high-impact training organisation. This role is responsible for designing and maintaining scalable data infrastructure, ensuring robust reporting frameworks, and supporting data-driven decision-making across the business. You'll work closely with senior stakeholders to align data strategy with organisational goals and champion data literacy across the team.

Key Responsibilities:

• Lead and manage a team of data engineers and analysts
• Oversee development of data pipelines, models, and warehouse architecture
• Implement and optimise Business Intelligence (BI) solutions using tools like Power BI and Snowflake
• Own the end-to-end reporting life cycle, from requirement gathering to delivery and maintenance
• Establish and maintain data governance frameworks ensuring quality, security, and consistency
• Act as a strategic advisor on data solutions to improve business and learning performance
• Promote a culture of continuous improvement and data literacy within the team and wider organisation
• Collaborate with cross-functional stakeholders to identify data needs and deliver actionable insights

Requirements:

• Proven experience managing a data engineering or BI team (3+ years)
• Strong technical background with 5+ years in data engineering, analytics, or BI
• Hands-on experience with Snowflake, SQL, Power BI, DAX, Azure Data Factory, and modern data pipelines
• Familiarity with data warehousing, governance, and cloud-based platforms
• Strong stakeholder engagement and communication skills
• Experience working with educational, training, or EdTech data is beneficial
• Understanding of data standards such as SCORM, xAPI, or LTI is a plus
• Familiarity with Power Apps, Power Automate, and SharePoint integrations desirable
• Project management skills or certifications (eg, Agile, PMP) advantageous