Lead Data Engineer

You will architect and drive data engineering solutions across our cloud-based analytics ecosystem.

• Leading and mentoring data engineering teams, promoting best practice and a culture of continuous learning.
• Crafting and optimising scalable data solutions using Azure Synapse Analytics and Microsoft Fabric.
• Modernising legacy ETL/ELT processes to cloud-native tools.
• Ensuring data governance, security, and compliance.
• Collaborating with multi-disciplinary teams to deliver actionable insights via Power BI and Fabric's unified analytics capabilities.
• Driving automation and innovation reducing manual effort and accelerating value delivery.

Overview of benefits:

• 25 days annual leave (plus bank holidays) with 2 additional floating personal days.
• Hybrid working up to 2 days per week in office and a home working allowance.
• Life assurance, income protection, and travel insurance.
• Private medical cover and access to the company doctor.
• Tuition scheme and support for pursuing professional qualifications, including access to Sage books and journals.
• Variety of snacks and beverages available in the office.
• Healthy lifestyle reimbursement and anniversary trips.
• Access to Company loans (season ticket loan, rental deposit loan, cycle loan).

We're a Disability Confident Employer (Level 1). If you'd like to apply under this scheme, please let us know in your application.

We're committed to making our recruitment process accessible and inclusive. If you'd like to request reasonable adjustments, please email humanresources@sagepub.co.uk. Please note we only accept applications via email if an adjustment has been agreed.

Do you have experience in Spark?, * A leader in data engineering with experience driving cloud migration and modernisation projects.

• Experienced in Microsoft Fabric and Azure Synapse Analytics.
• A strong cloud data architecture with sophisticated SQL skills.
• Experienced in Python and/or Spark for large data processing.
• Knowledgeable of CI/CD practices (Azure DevOps, GitHub Actions) for cloud data solutions.
• Equipped with demonstrable leadership skills to drive excellence through best practice frameworks.
• Analytical, a critical thinker and possess excellent communication skills.

Sage is a global academic publisher of books, journals, and library resources with a growing range of technologies to enable discovery, access, and engagement. Believing that research and education are critical in shaping society, Sara Miller McCune founded Sage in 1965. Today, we are controlled by a group of trustees charged with maintaining our independence and mission indefinitely. Our guaranteed independence means we're free to: * Do more - supporting an equitable academic future, furthering disciplines that drive social change, and helping social and behavioural science make an impact * Work together - building lasting relationships, championing diverse perspectives, and co-creating resources to transform teaching and learning * Think long-term - experimenting, taking risks, and investing in new ideas About our Team: We are pioneers in developing modern cloud-based analytics that support our bold objectives. Our team works together to ensure that data-driven insights form the core of our decision-making through development resources, migration and modernisation initiatives and scalable, secure, high-value data delivery to the business. We take pride in our inclusive and collaborative environment, encouraging innovation and automation.