Data Engineer

Embark on a transformative journey as Data Engineer at Barclays, where  our vision is clear, to redefine the future of banking and help craft innovative solutions. In this role you will be part of the team monitoring and ensuring adherence to data quality standards, processes and initiatives to enhance overall data quality and enable effective decision making.

To be successful as a Data Engineer, you should have:

• Ample SQL Knowledge, regularly used SQL to analyse and manipulate large volumes of data.

• Experience producing data insights with the ability to convert complex data requests into meaningful insights and present to non-technical resources.

• Understanding of data modelling and complex data structures, furthermore, understanding of Customer Mastering processes and Single Customer Views would be beneficial.

Other highly valued skills include:

• Experience using Data Quality tools such as Trillium Software Centre.

• Experience using, or exposure to ETL processes.

• Previously worked within a financial institution.

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.

This role is located in Knutsford.

Purpose of the role

To monitor and ensure adherence to data quality standards, processes, and initiatives to enhance overall data quality and enable effective decision-making. 

Accountabilities

• Identification and prioritisation of critical data elements requiring quality improvement.
• Development and maintenance of data quality dashboards and reports to track progress and communicate data quality performance.
• Analysis and evaluation of data quality issues and trends  and perform root cause analysis to clearly articulate the problem.
• Development and implementation of thematic data quality strategies and policies aligned with the bank's overall data governance framework.
• Triage, prioritisation and determination of criticality of data quality issues managing associated risks, issues and dependencies, driving management and facilitation of data quality issue remediation and return to green plans.
• Definition of requirements and specifications for proposed data remediation efforts to meet regulatory commitments, risk controls and business objectives.
• Recommendation and implementation of data quality improvement technologies and tools, including use of machine learning.

Assistant Vice President Expectations

• To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
• Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
• OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
• Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
• Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
• Take ownership for managing risk and strengthening controls in relation to the work done.
• Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
• Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
• Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
• Influence or convince stakeholders to achieve outcomes.

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.