What is the opportunity?

The Data Engineering Lead will ensure that technical development processes and tooling is appropriate and effective, and that the quality of the solutions delivered into operational support are fit for purpose.

You will be responsible for the technical leadership and mentoring of engineering squads, ensuring that incoming change is 'engineering ready'.

As a People Manager you will drive engagement, and will be accountable for demonstrating and role modelling the Group values and behaviours through your people management and the way in which you deliver business goals.

Key Accountabilities

Providing technical direction and leadership to engineering squads

Inputting to the process to assess whether incoming change is 'engineering ready' and works with business and IT colleagues to establish and manage entry requirements

Defining the technical capabilities and resource profiles required within the squads, and work with internal resource management and external delivery partners to ensure the right capability is in place within the teams

Engineering standard methodology adoption within the squads

Ensuring engineering squads have the requisite tooling, methodology and process to drive delivery efficiency

Identifying, developing proposals and managing the execution of initiatives to automate, simplify and scale services

Being a leader for other specialists and ensures that career path and data sharing is embedded in ways of working

Aspiring to continuously develop new and improved data engineering capabilities

Contributing to the continual improvement of the business's data platforms through observations and well-researched knowledge

Continuously keeping track of industry standard methodologies and trends and through acquired knowledge, which takes advantage of process and system improvement opportunities

Who are you?

Essential Qualifications

• BSc or MSc in Engineering & Computer Science, Applied Mathematics, or Data Engineering.

Essential Skills &Experience

• Demonstrable experience as Engineering Lead in the Enterprise Data Lake domain
• Experience in implementing Event Driven Architecture and Data Streaming
• Experience in Delivering Operational Datastores in a variety of technologies and data platforms.
• Deep technical knowledge of EDL Technologies and Architecture
• Large scale delivery experience and data management experience
• Scrum / Kanban and SAFe delivery experience
• Experience in data warehousing inclusive of dimensional modelling concepts and demonstrate proficiency in scripting languages, for example, Python, Perl, and so forth
• Demonstrable experience and a deep knowledge of data mining techniques and languages, relational, and non-relational databases