We're seeking a highly skilled Data Engineering Team Lead to provide both technical and people leadership within a growing data and analytics function.
This is an exciting opportunity to lead a team of talented Data Engineers while driving the development of scalable, secure and high-performing data solutions that enable advanced analytics and business intelligence across a global organisation.
Working closely with Data Science, Analytics and Visualisation teams, you'll play a key role in defining engineering standards, evolving a modern cloud-based data platform, and delivering trusted, high-quality data that supports strategic decision-making.
The Role
As Data Engineering Team Lead, you'll be responsible for leading the Data Engineering function, overseeing data platform architecture, guiding technical delivery and mentoring a high-performing engineering team.
You'll combine hands-on technical expertise with strategic leadership, helping to establish best practices, governance frameworks and reusable engineering solutions that support the organisation's continued growth.
Key Responsibilities
Leadership & Team Development
- Lead, mentor and develop a team of Data Engineers, fostering a culture of collaboration, innovation and continuous improvement.
- Provide technical guidance on engineering standards, methodologies, tools and delivery practices.
- Conduct regular performance reviews and coaching to support professional development and career growth.
Data Platform & Architecture
- Provide strategic oversight of a modern cloud-based data platform, ensuring solutions are scalable, secure and resilient.
- Define and drive data integration strategies that support evolving business and analytics requirements.
- Provide architectural leadership across projects, promoting reusable, maintainable and future-proof solutions.
- Contribute to architecture governance and technical decision-making across the wider technology function.
Data Engineering & Integration
- Lead the onboarding of new data sources and integration of enterprise data assets.
- Design and oversee logical and physical data models supporting enterprise data warehouse solutions.
- Drive the development of robust ETL processes, data pipelines and integration frameworks.
- Establish reusable engineering patterns that improve consistency, efficiency and governance.
Governance & Operational Excellence
- Implement and enhance data governance and control frameworks that support data quality, operational visibility and risk management.
- Ensure recurring data processes are effectively monitored, managed and optimised.
- Support data security, compliance and governance initiatives.
- Champion best practices in metadata management, data lineage and technical documentation.
Collaboration & Stakeholder Engagement
- Partner with Data Science, Analytics, Visualisation and wider technology teams to deliver high-quality data solutions.
- Work closely with business stakeholders to translate complex requirements into scalable technical solutions.
- Build strong relationships with technical teams, senior stakeholders and third-party vendors.
- Support the creation and maintenance of architecture documentation, data flow diagrams, data dictionaries and technical design artefacts.
About You
Essential Experience
- Bachelor's degree in Computer Science, Information Systems or a related discipline.
- Minimum of five years' experience in Data Engineering, ETL development, systems integration and data warehousing.
- Proven experience leading technical teams and driving engineering best practices.
- Strong expertise in:
- SQL
- Data Modelling
- Data Warehousing
- ETL Design and Development
- Experience working with Microsoft Fabric or other enterprise-scale cloud data platforms.
- Strong understanding of data management principles, including:
- Data Quality
- Metadata Management
- Master Data Management
- Data Cleansing and Standardisation
- Programming experience in one or more of the following:
- Python
- Java
- Scala
- R
- Good understanding of Business Intelligence platforms and how enterprise data supports analytics and reporting.
Desirable Experience
- Experience within Financial Services or another highly regulated industry.
- Experience working in large-scale enterprise data and analytics environments.
- Knowledge of enterprise architecture and data governance frameworks.
Skills & Attributes
- Strong leadership and people management skills.
- Excellent stakeholder management and communication abilities.
- Ability to balance strategic planning with hands-on technical leadership.
- Strong analytical and problem-solving skills.
- Experience translating business requirements into scalable technical solutions.
- Passion for building high-performing teams and delivering high-quality data solutions.
