Senior Data Engineer

Lead Data Engineer

Salary £80,000 + Excellent Benefits

High Wycombe - 2 days per week in the office, three day working from home

This is a brand-new role, reflecting our clients continuing focus on data as they continue to drive their business objectives through innovative data solutions. As the Lead Data Engineer, you will lead the strategic design, development, and operational management of data-driven solutions that support my clients overarching business goals. You will champion the enhancement of their data infrastructure, drive improvements in data quality, and foster insights that enable informed decision-making and service optimization. Reporting to the Assistant Director of Data and Insight, you will collaborate closely with senior business leaders, Process and Systems Managers, and Business Transformation and IT colleagues, ensuring that data solutions align with their needs and strategic objectives.

Responsibilities

1. Providing robust, secure architectural designs to solve business problems efficiently.
2. Leading the development and implementation of solutions for complex data challenges.
3. Ensuring compliance with GDPR and other relevant legislation.
4. Guiding a team of data professionals and fostering a technical culture.
5. Introducing and managing Artificial Intelligence solutions with a view to ROI.

About you

We are looking for someone with some leadership skills and a passion for leveraging data to drive business improvements. Working via a mixture of office and homeworking, you will be responsible for enhancing our clients data architecture and improving data quality. With this in mind, experience and knowledge of database management, Power BI data processing technologies, data warehouse design, and strong SQL skills are essential.

Experience

1. A degree in Computer Science, Data Science, or a related field, or equivalent experience.
2. Extensive experience in being a Senior within engineering teams.
3. Deep understanding of database management, data processing technologies, and data warehouse design.
4. Strong data architecture and data modelling skills.
5. Experience with Power BI.
6. Strong leadership and stakeholder management skills.
7. Excellent communication skills, capable of engaging with stakeholders at all levels.
8. A proactive and energetic approach to delivering solutions.