Summary: The Director of Engineering for Advanced Analytics will spearhead the development of innovative analytics tools and systems, enhancing data-driven insights across the organization. This role involves leading a team of engineers, ensuring collaboration with cross-functional teams, and driving the implementation of best practices in a fast-paced environment. The position is pivotal in shaping the analytics solutions and optimizing business outcomes through effective leadership and technical expertise.

Key Responsibilities:

• Lead the development and enhancement of advanced analytics tools, focusing on data processing, integration, and optimization in a fast-paced, agile environment.
• Manage, mentor, and grow a team of skilled engineers, providing guidance through regular performance reviews and career development opportunities.
• Ensure seamless collaboration with cross-functional teams (product, engineering, business) to translate business objectives into actionable technical solutions.
• Remove blockers and resolve technical challenges for engineering teams, ensuring smooth execution of analytics initiatives.
• Actively participate in code reviews, design discussions, and ensure the implementation of best practices for scalable, future-proof solutions.
• Champion agile methodologies, driving teams to deliver high-quality products on time and within budget.
• Oversee the full SDLC (planning, design, development, QA, CI/CD, and production support) to ensure timely and efficient delivery of analytics solutions.
• Provide second-level support for production systems, ensuring the stability, reliability, and performance of analytics platforms.
• Collaborate with architects and other engineering leaders to establish standards, process documentation, and conduct impact assessments.
• Manage and resolve escalations effectively, ensuring smooth operations and minimal disruption to project timelines.

Key Skills:

• 3+ years of experience in a leadership role with 5+ years of hands-on software engineering experience.
• Strong expertise in software architecture, data pipeline design, and scalable analytics systems.
• Proven experience with integrating and automating business workflows, including data-driven processes and system integrations.
• Familiarity with analytics platforms and tools such as GCP (BigQuery), AWS (Glue, Athena), or Azure Databricks.
• Proficiency in Python or .NET, with experience in both or the ability to quickly learn new technologies.
• Experience with front-end frameworks (Angular/React) and back-end development (API management, microservices).
• Strong knowledge of SQL, data modelling, and database optimization techniques.
• Hands-on experience with Docker, cloud platforms (GCP, AWS, Azure), and CI/CD pipelines.
• Familiarity with event-driven architectures and building real-time data analytics solutions.
• Experience working with large-scale, high-concurrency systems and ensuring high availability.
• Previous experience managing globally distributed teams, fostering collaboration across time zones.
• Experience in building machine learning solutions and data-driven software is a plus.

Salary (Rate): £900

City: London

Country: UK

Working Arrangements: hybrid

IR35 Status: inside IR35

Seniority Level: Senior

Industry: IT