Design and implement data pipelines, data warehouses, and data lakes to ensure accurate, accessible, and secure data.
Develop processing and analysis algorithms fit for the intended data complexity and volumes.
Collaborate with data scientists to build and deploy machine learning models.
Build and maintain systems that collect, store, process, and analyze data.
Lead and supervise a team, guiding professional development and allocating work requirements.
Demonstrate leadership behaviors to create an environment for colleagues to thrive and deliver excellent results.
Perform prescribed activities timely and to a high standard, consistently driving continuous improvement.
Utilize in-depth technical knowledge and experience in the assigned area of expertise, demonstrating a thorough understanding of underlying principles and concepts.
Take responsibility for end results of a team's operational processing and activities, escalating breaches of policies/procedures appropriately.
Embed new policies/procedures adopted due to risk mitigation and advise/influence decision-making within own area of expertise.
Own managing risk and strengthening controls related to the work, delivering work and areas of responsibility in line with relevant rules, regulations, and codes of conduct.
Maintain and continually build an understanding of how own sub-function integrates with the function, alongside knowledge of the organization's products, services, and processes within the function.
Demonstrate understanding of how areas coordinate and contribute to the achievement of the organization's objectives, making evaluative judgments based on factual information and paying attention to detail.
Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.
Guide and persuade team members, communicating complex/sensitive information and acting as a contact point for stakeholders outside of the immediate function, building a network of contacts outside the team and external to the organization.
Adhere to the required security measures and demonstrate understanding of how areas coordinate and contribute to the achievement of the organization's objectives.
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset to Empower, Challenge, and Drive the operating manual for how we behave.

Job Requirements

Experience in Microsoft SQL, Microsoft SSIS, and Python.
Minimum Qualification: Bachelors degree.
Good to have skills include Tableau, Autosys, and working experience on Cloud platforms for Data engineering.
Desirable Skillsets/Good To Have: IAM domain knowledge.
In-depth technical knowledge and experience in the assigned area of expertise.
Thorough understanding of underlying principles and concepts within the area of expertise.
Leadership responsibilities include leading and supervising a team, guiding professional development, allocating work requirements, and coordinating team resources.
If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviors to create an environment for colleagues to thrive and deliver to a consistently excellent standard.
The four LEAD behaviors are: L Listen and be authentic, E Energise and inspire, A Align across the enterprise, D Develop others.

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