Data Engineering Lead

This Data Engineering Lead opportunity at Lloyds Banking Group presents an exciting prospect for experienced data professionals looking to make a significant impact in a leading financial institution.

Key Advantages for Candidates:

• Strategic Leadership: This role offers the chance to lead the end-to-end design and implementation of highly scalable, resilient, and low-latency data systems. You'll be instrumental in shaping the future architecture and driving technical strategy.
• Innovation and Cloud Adoption: Be at the forefront of exploring and leveraging modern cloud technologies. The focus on building innovative, data-driven solutions within the Personalised Experiences and Communications Platform means you'll be working with cutting-edge tools and approaches.
• Mentorship and Growth: A significant aspect of this role involves mentoring and coaching engineering teams. This is a prime opportunity to hone your leadership skills, foster talent, and contribute to the career development of others.
• Cross-Functional Impact: Your work will have a broad impact across multiple entities within the group, providing visibility and the chance to influence strategic decisions on a large scale.
• Flexible Working: The organization offers hybrid working, allowing for a balance between office-based collaboration and remote work, with at least two days per week or 40% of time spent in the office. This flexibility supports a healthy work-life integration.
• Competitive Compensation and Benefits: With a salary range of £92,701 - £109,060, this position offers attractive remuneration. Furthermore, a comprehensive benefits package including a generous pension contribution, share schemes, and a range of wellbeing initiatives underscores the value placed on employees.

Key Considerations for Your Career Path:

• Extensive Experience Required: The role demands a substantial track record, with a minimum of 15+ years in designing and supporting distributed and large-scale data processing systems. A proven history of leading engineering teams for at least 5 years is also essential.
• Broad Technical Skillset: While deep data engineering expertise is paramount, the description emphasizes the value of experience in coding/scripting (Python, SQL, Java, Scala, Go), automation, CI/CD, containerization (Docker, Kubernetes), cloud platforms (GCP, Azure, AWS), distributed frameworks (Spark, Flink, Beam, Hadoop), and Kafka. Candidates should assess their proficiency across these areas.
• Understanding of Core Concepts: A strong grasp of data structures, algorithms, software design principles, design patterns, and core programming concepts is crucial for success.
• Cultural Fit: Lloyds Banking Group is committed to fostering an inclusive and values-led culture. Candidates should align with their dedication to diversity, inclusion, and building a workforce that reflects the communities they serve.
• Long-Term Vision: The role is tied to an end date of January 27, 2026, suggesting a project-based focus or a strategic initiative. Candidates should consider their long-term career aspirations in relation to this timeline.

This Data Engineering Lead position is ideal for a seasoned professional seeking a leadership role with significant strategic influence, opportunities for mentorship, and the chance to contribute to innovative data solutions within a dynamic and inclusive environment. Candidates who meet the extensive experience and technical requirements will find this a highly rewarding opportunity to shape the future of data engineering at Lloyds Banking Group.