Senior Data Engineer

Come help us build the future of data analytics and integration. Progress your career and start reshaping how companies use data for the better with 5Y.

Location Remote /Hybrid– Nottingham City Centre OR London (Soho)

Team Lead Position Yes

Salary Competitive

Pension 5% match & salary sacrifice scheme

Work abroad Within 3 hours of GMT for up to 90 days

Primary focus Enterprise Data Engineering & Data Platform Delivery

Technologies Azure Data Platform, Azure Data Factory, Azure Synapse, Power BI, SSAS, SSIS, SSRS

Experience Minimum 5 years Microsoft BI delivery experience

Qualification Degree in Computer Science, Mathematics or related technical discipline

We are looking for an experienced Senior Data Engineer to lead the design, implementation and delivery of enterprise-scale data engineering solutions. The role combines deep technical expertise with leadership responsibility, ensuring data platforms, integration systems and analytics solutions are delivered to a high standard while establishing engineering best practices across the organisation.

You will be responsible for building scalable data solutions, coordinating teams, improving engineering standards and helping customers maximise the value of their data investments using modern Microsoft and cloud-based technologies.

The position requires a strong blend of technical capability, stakeholder engagement, architectural thinking and strategic planning to ensure robust, secure and future-ready data solutions are delivered successfully.

Outcomes

01

Build scalable, secure and high-performing data platforms, integration solutions and analytics environments that meet customer and business requirements.

02

Define, maintain and promote data engineering best practices, standards and delivery frameworks across teams.

03

Provide reliable, trusted and analytics-ready data that supports reporting, insight generation and business performance management.

04

Guide technical teams through successful project delivery while resolving issues and maintaining delivery quality.

05

Identify emerging technologies, modern engineering approaches and platform enhancements that improve customer outcomes and delivery efficiency.

Your ownership

• Champion data engineering capabilities across the business.
• Coordinate teams and establish engineering standards.
• Promote reuse of existing data flows and integration patterns.
• Ensure engineering best practices are followed across projects.
• Provide technical leadership and mentoring to team members.

• Build and maintain enterprise data streaming systems.
• Design and implement Azure-based data solutions.
• Deliver modern data warehouse, analytics and reporting environments.
• Develop robust integration solutions across multiple systems.
• Ensure platforms remain scalable, secure and high performing.

• Design enterprise data integration procedures and standards.
• Create and maintain data models suitable for analytical workloads.
• Evaluate architectural options considering cost, benefit and risk.
• Recommend appropriate technologies and platform approaches.
• Maintain alignment between enterprise data models and systems.

• Design and document technical solutions.
• Facilitate requirements workshops and technical discussions.
• Conduct stakeholder meetings and planning sessions.
• Produce implementation estimates and technical recommendations.
• Support customers throughout solution design and delivery.

• Implement and tune large-scale database environments.
• Optimise SQL…