Lead Data Engineer

at  Novuna

Are you an exceptional people manager with experience of leading high-performing teams? Do you enjoy working with cutting-edge technology? Are you passionate about data?
If your answer is ‘yes’ to all of these, keep reading.

WANT TO KNOW A LITTLE ABOUT US?

At Novuna, we care about building a better tomorrow. With a focus on sustainability, and a passion for phenomenal customer experiences, we provide consumers and businesses with the capital they need to realise their ambitions.
We’re proud to be a Top 50 Inclusive employer. We’re a signatory of the Women in Finance and the Race at Work Charter and we’re Disability Confident Committed.

WHAT ARE WE LOOKING FOR?

You’ll demonstrate a real passion for data and will be a creative problem solver who likes to challenge norms and bring new ideas to the table. You’ll have enterprise level experience involving multiple customers, departments and locations and will come from a data engineering/software engineering background. You’ll have strong people leadership skills and will enjoy building high performing teams.

Also, we’re looking for the following:

• Exceptional leadership skills, with the ability to mentor and coach colleagues
• Good working knowledge of data engineering and technology
• Ability to think on your feet and problem solve
• MS Azure tech stack (Databricks, Data Factory, Azure DevOps) would be an added bonus

WHAT DOES THE ROLE INVOLVE?

Reporting to the Data and Analytics Practice Manager, you’ll lead a team of Data Engineers to design, build, and maintain the Data Lakehouse at Novuna. You’ll play an integral role in taking our existing data capabilities and solutions on a journey to the next level to enable the business to make more happen with data.

SOME OF YOUR KEY DUTIES WILL INCLUDE:

• Leadership of a team of Data Engineers, including coaching and mentoring
• Building strong relationships with stakeholders across the business to ensure the provision of outstanding data solutions across Novuna
• Supporting the business to glean meaningful insights and inform decision making
• Supporting the team with project work, including building and maintaining Data pipelines