Azure Tech Lead/Senior Data Engineer - Hybrid/Surrey/Hampshire

Job Description

Azure Tech Lead/Senior Data Engineer - Hybrid/Surrey/Hampshire

£70,000 plus bonus excellent benefits & growth potential (fantastic employer)/Surrey (Dorking) or Hampshire (Basingstoke) - 2 days per week in the office

The overall package is worth around £80-95k.

My client, a leading financial services company with amazing company benefits, seeks an experienced Senior Data Engineer to take on the role of Azure Tech Lead. In this role, you will be responsible for owning and improving their existing Azure data infrastructure.

Notes:

They will consider someone with a general Azure skill set, who could be used for DevOps and improving the cloud setup and structure. If you don't have the specific data engineering skill set on the cloud, you must be capable and willing to pick these up. An ideal person for this role is a Cloud engineer who is interested in or has come from the data side of things.

As the Azure Tech Lead/Senior Data Engineer, you will:

• Guide developments and enhancements, ensuring robust support and maintenance practices are in place, and adopting industry standards throughout their data journey.
• Your expertise will be essential in guiding data projects and changes, ensuring best practices in Azure data processing and management are adopted.
• As the Lead Azure Data Engineer, you will oversee and improve the current Azure data setup, ensuring it is robust, scalable, and secure.
• You will lead the development and enhancement of our cloud infrastructure, providing expert guidance and support to the team.
• Implementing and managing robust support and maintenance approaches to ensure the reliability and performance of their Azure environment will be a key part of your role.
• Additionally, you will ensure the adoption of industry standards and best practices throughout the data journey.
• You will guide data projects and changes, ensuring they follow good practices and align with business objectives.
• Continuously increasing business knowledge with a consultative approach will be crucial, focusing on improving business outcomes.
• You will support and guide team members in their delivery, owning pieces of work and projects from design through to release.
• Interacting with business partners with a high degree of professionalism, providing reliable judgement and decision-making, will also be a significant aspect of your role.

Core Data Engineer Capabilities for the Azure Tech Lead/Senior Data Engineer:

• Deep expertise in at least two of the following, with basic capabilities in all others:
• Software Engineering: Expertise in at least one relevant object-oriented programming (i.e., Java/Scala, Python). Experience in DevOps best practice including CI/CD, process automation, and optimization.
• Data Architecture and Infrastructure: Good understanding of data architecture principles and related infrastructure requirements, covering on-prem and Cloud platforms.
• Holistic Data Preparation: The ability to understand and present data in the appropriate context, including a good understanding of how the data will build towards a business solution.
• Data Extraction, Transform & Load: Skills include expertise in writing complex SQL queries that join multiple tables/databases.
• Independently explore databases/tables or other legacy data content to identify best data sources to solve business problems.
• Demonstrates ability to troubleshoot complex SQL queries with little guidance.
• Demonstrates ability to create logical data models by combining data from multiple sources including internal and external data.

Core business capabilities for the Azure Tech Lead/Senior Data Engineer:

• Demonstrated communication skills, leadership experience working with senior management and executive leadership, and attention to detail while effectively and independently prioritizing work and managing multiple projects simultaneously.
• Leadership Capabilities: Actively coaches, mentors, and delivers support to team members, especially within areas of expertise. Responds quickly and positively to change and is viewed as a promoter of change management. Provides technical leadership and direction for data and analytics initiatives, ensuring output conforms to agreed-upon quality attributes.
• Characteristics: Entrepreneurial self-starter. A thorough, results-oriented problem-solver, and a lifelong learner with voracious curiosity. Ability to conduct independent research and development.
• Bachelor's degree in a quantitative field is required; otherwise, additional technical professional experience is required.