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Join us as a Data Modeler at Barclays where you will spearhead the evolution of our infrastructure and deployment pipelines, driving innovation and operational excellence. You will harness cutting-edge technology to build and manage robust, scalable and secure infrastructure, ensuring seamless delivery of our digital solutions. In this role you should be able to Translate business requirements into logical and physical data models which serve as the basis for data engineers to build the data products. This includes working with Data Product Manager of the Value stream use case / BUK Data Domain to capture the requirements, translating these into data models while considering performance implications. Role will include testing the data models with data engineers and continuously monitoring and optimizing the performance of these data models.
Job Responsibility:
Spearhead the evolution of our infrastructure and deployment pipelines, driving innovation and operational excellence
Harness cutting-edge technology to build and manage robust, scalable and secure infrastructure, ensuring seamless delivery of our digital solutions
Translate business requirements into logical and physical data models which serve as the basis for data engineers to build the data products
Work with Data Product Manager of the Value stream use case / BUK Data Domain to capture the requirements, translating these into data models while considering performance implications
Test the data models with data engineers and continuously monitoring and optimizing the performance of these data models
To implement data quality process and procedures, ensuring that data is reliable and trustworthy, then extract actionable insights from it to help the organisation improve its operation, and optimise resources
Requirements:
Design and implementation of high-quality data models that optimize data access, storage, and analysis
Experience in ER Studio
Creation of comprehensive and well-maintained documentation of the data models, including entity relationship diagrams, data dictionaries, and usage guidelines
Partnering with business stakeholders to understand their data needs and translate these requirements into clear data modelling specifications
Collaboration with data engineers to translate into physical data models and throughout the development lifecycle
Continuously monitor and optimize the performance of the models to ensure efficient data retrieval and processing
Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification
Execution of data cleansing and transformation tasks to prepare data for analysis
Designing and building data pipelines to automate data movement and processing
Development and application of advanced analytical techniques, including machine learning and AI, to solve complex business problems
Documentation of data quality findings and recommendations for improvement
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
Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
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
Communicate complex information
Influence or convince stakeholders to achieve outcomes
What we offer:
Hybrid working
Structured approach to hybrid working with fixed, ‘anchor’, days onsite
Supportive and inclusive culture and environment
Commitment to providing a supportive and inclusive culture
Opportunity to explore flexible working arrangements
Chance to learn from a globally diverse mix of colleagues, including some of the very best minds in banking, finance, technology and business
Encouragement to embrace mobility, exploring every part of our operations as you build your career
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