Lead Data Engineer

Role: Data engineering – lead delivery

Location : London, UK (Can be hybrid 3 days onsite)

Contract duration: rolling

Rate : GBP 600-650 Inside ir35

Mandatory: Excellent work experience with insurance Domain & Lloyds of London

1. Oversee the delivery of strategic data programmes, ensuring adherence to defined scope, budget, and quality standards.
2. Work closely with Data Governance, Business and key stakeholders to drive the programme and roadmap of change.
3. Monitor delivery progress, identifying and mitigating risks and issues as they arise.
4. Prepare and present updates and reports to senior management and stakeholders, ensuring transparency and alignment with organizational objectives.
5. Ensure compliance with organizational policies and best practices throughout the project lifecycle.
6. Oversee appropriate resourcing, identifying key requirements needed from cross-functional teams and external vendors; sourcing and managing appropriate vendor partners.
7. Ensuring deliveries align with the strategic vision and roadmap.
8. Ensures compliance between business strategies, enterprise transformation activities and technology directions, setting strategies, policies, standards and practices.
9. Responsible for effective and timely development of new and/or enhanced systems/technologies.
10. Monitor all aspects of the Software Development Lifecycle and Production Support service levels, ensuring high-level technical support is provided for data-related technologies.
11. Work closely with customers, other IT managers, and management to identify and maximize opportunities to use technology to improve business processes, particularly in data management.
12. Prepares business cases, including financial analyses of potential new technologies/systems/applications.  Evaluates based on company strategic needs and resource availability.
13. Oversees business analysis, development work and quality assurance of projects for assigned systems/technologies. 
14. Oversee the delivery of strategic data programmes, ensuring adherence to defined scope, budget, and quality standards.
15. Work closely with Data Governance, Business and key stakeholders to drive the programme and roadmap of change.
16. Monitor delivery progress, identifying and mitigating risks and issues as they arise.
17. Prepare and present updates and reports to senior management and stakeholders, ensuring transparency and alignment with organizational objectives.
18. Ensure compliance with organizational policies and best practices throughout the project lifecycle.
19. Oversee appropriate resourcing, identifying key requirements needed from cross-functional teams and external vendors; sourcing and managing appropriate vendor partners.
20. Ensuring deliveries align with the strategic vision and roadmap.
21. Ensures compliance between business strategies, enterprise transformation activities and technology directions, setting strategies, policies, standards and practices.
22. Responsible for effective and timely development of new and/or enhanced systems/technologies.
23. Monitor all aspects of the Software Development Lifecycle and Production Support service levels, ensuring high-level technical support is provided for data-related technologies.
24. Work closely with customers, other IT managers, and management to identify and maximize opportunities to use technology to improve business processes, particularly in data management.
25. Prepares business cases, including financial analyses of potential new technologies/systems/applications.  Evaluates based on company strategic needs and resource availability.
26. Oversees business analysis, development work and quality assurance of projects for assigned systems/technologies. 

Role & Responsibilities:

Extensive knowledge of modern databases technologies, Snowflake and relational (such as Oracle, SQL Server and PostgreSQL)

Broad knowledge of software development techniques, processes, methods and best practices.  Proficiency with various programming languages.

Strong leadership skills with the ability to motivate and guide teams towards successful project delivery.

Excellent communication and interpersonal skills, capable of engaging effectively with stakeholders.

Problem-Solving: Proactive and solution-oriented, with a keen ability to identify and resolve issues promptly.

Organizational Skills: Excellent organizational skills, with a focus on detail and the ability to manage multiple priorities.

Knowledge of application test automation products, processes, and best practices

Proven experience and strong understanding of Agile development and conventional method and its application to company technology needs. 

Strong strategic decision making & long-term planning abilities to manage resources and develop efficient and effective solutions to diverse and complex business problems.

Good general business acumen.

Experience with Insurance / Reinsurance Systems and Data.

Knowledge of technologies such as Python, PowerBI.