Engineering, operating, and evolving the AWS data lake platform, including the cloud infrastructure, shared services, and data engineering applications that sit on top of it.
Compensation
Salary Range:
£60,800.00 - £91,200.00 per annum (depending on experience)
This salary range represents the expected remuneration for the role. Annual salary is based on a standard 35-hour working week. Actual salary offered will depend on skills, experience, qualifications and location.
Responsibilities
Support the engineering, operation, reliability and continuous improvement of Santander's AWS data lake.
Build, configure and support AWS platform capabilities using services such as S3, IAM, VPC, KMS, CloudWatch, CloudTrail, Glue, Athena, EMR, Lambda and Step Functions, following approved designs and standards.
Develop and maintain Infrastructure as Code for AWS environments and reusable platform components, with guidance from experienced engineers.
Contribute to CI/CD pipelines and deployment automation that support safe, repeatable and controlled platform changes.
Apply approved cloud security controls, including least-privilege access, encryption, network isolation, secrets management and policy enforcement.
Requirements
Degree in software engineering, computer science or related field
At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders.
Responsibilities
Evaluate compliance with regulations including assessing governance and risk management processes and related controls
Obtain reasonable assurance about whether the financial statements as a whole are free from material misstatement
Issue an auditor’s report that includes the auditor’s opinion
Adapt to working with a variety of clients and team members
Take ownership and consistently deliver quality work that drives value for clients
Requirements
Nice to have: Accepting Feedback
Nice to have: Active Listening
Nice to have: AI Fluency
Nice to have: AI-Human Collaboration
Nice to have: Artificial Intelligence (AI) Platform
Develops and maintains the enterprise data platform’s semantic layer, ensuring business data is consistent, discoverable, and reusable across analytics and AI applications.
Design, develop, and maintain conceptual, logical, physical, dimensional, and semantic data models aligned with enterprise architecture standards and business requirements.
Translate business concepts into reusable models that define entities, attributes, relationships, business rules, KPIs, and standardized definitions.
Map business concepts to underlying data assets and maintain semantic metadata to support analytics, generative AI, RAG, natural language querying, and AI agents.
Collaborate with Enterprise Architecture, data engineering, governance, analytics, AI teams, and business stakeholders to validate definitions and align models with enterprise standards.
Improve semantic consistency, metadata completeness, and contextual relevance to enhance data quality and AI application outcomes.
Requirements
Bachelor’s degree in Computer Science, Information Systems, Data Management, or a related discipline
Instructor for Adobe Experience Platform (AEP) training for Adobe customers across the EMEA region, focusing on data collection, management, modeling, and activation for personalized digital experiences.
Responsibilities
Deliver live, remote training courses on Adobe Experience Platform, covering XDM schemas, datasets, data ingestion, identities, Real-Time Customer Profile, audiences, Query Service, and destinations.
Prepare training materials, practical exercises, and hands-on labs.
Explain data modelling, schema design, and data governance concepts.
Demonstrate how Adobe Experience Platform integrates with other Adobe Experience Cloud solutions.
Guide participants through practical exercises and troubleshoot common issues.
Data/Information Management Analyst 2 responsible for monitoring, assessing, analyzing and evaluating processes and data, identifying policy gaps, formulating policies, and making recommendations.
Responsibilities
Applies specialty area knowledge in monitoring, assessing, analyzing and/or evaluating processes and data
Identifies policy gaps and formulates policies
Interprets data and makes recommendations
Researches and interprets factual information
Identifies inconsistencies in data or results, defines business issues and formulates recommendations on policies, procedures or practices
Requirements
Engineering Degree
Bachelors/University degree or equivalent experience
Senior Analyst responsible for driving analytical solutions to support key business objectives for Operations & Analytics within Citi’s Business Analytics Team.
Responsibilities
Support Business Execution activities for Chief Operating Officer
Implement analytical solutions to manage banking operations
Create data visualization solutions and Tableau dashboards
Interface between business and technology partners for digitizing data collection
Communicate findings and recommendations to senior management
Lead technical design and solution architecture for the FASTR program within the War Data Platform, translating Department of the Air Force requirements into secure, scalable, maintainable solutions.
Compensation
The expected salary range for this position is between $103,000 and $180,000. This range is representative of base pay only and does not include straight time pay for hours worked over 40 per week, company contributions towards paid benefits, and/or bonuses. Actual compensation (meeting or exceeding the range) will be determined based on specific experience, education, work location, clearance level, and other factors permitted by law. This position is eligible for bonuses (when applicable).
Responsibilities
Lead the technical design and solution architecture for FASTR capabilities supporting Audit / FIAR, BI / Reporting, and Enterprise Data / Integration workstreams.
Translate approved business and functional requirements into end-to-end solution designs, technical specifications, and implementation approaches.
Define architectural patterns for data ingestion, transformation, storage, semantic modeling, analytics, interfaces, and application integration within the War Data Platform.
Provide technical direction to data engineers, integration analysts, BI developers, and other implementation personnel across shared technical efforts.
Assess solution options and document architecture tradeoffs involving scalability, reliability, maintainability, performance, security, and delivery risk.
Requirements
Bachelor’s or Master’s degree in Computer Science, Information Systems, Software Engineering, Data Engineering, or a related field
Experienced and dynamic technical presale professional to join the team as an Advisory Solution Consultant focused on ServiceNow's Workflow Data Fabric & RaptorDB, shaping and delivering innovative, scalable data platform solutions for customers.
Responsibilities
Serve as a key technical advisor and advocate for ServiceNow’s Workflow Data Fabric and RaptorDB
Act as a trusted advisor to clients on how to architect, scale, and operate transactional and analytical workloads on RaptorDB
Lead technical discovery sessions to identify customer needs, data integration challenges, and architectural gaps
Build and deliver custom proof-of-concepts and proof-of-value solutions
Provide insights into the competitive data platform landscape
Requirements
Nice to have: ServiceNow platform certifications (CSA, CAD)
Lead and execute technology-driven initiatives, manage end-to-end project lifecycles, oversee data flows, and drive innovation through AI and automation.
Responsibilities
Plan, execute, and deliver technology-based projects across multiple domains and suppliers
Collaborate with cross-functional teams and suppliers to follow-up project scope, timelines, and deliverables
Ensure alignment with business goals and compliance with internal standards
Report on the various technology projects
Assist in design and transformation of data pipelines, including ingestion, transformation, and integration
Requirements
Bachelor in Computer Science, MIS, Business or similar degree (or equivalent by experience)
Nice to have: Experience supporting Department of the Air Force or other Department of War financial management and enterprise data modernization programs
Nice to have: Experience developing solutions within the War Data Platform or comparable secure government enterprise analytics environments
Nice to have: Knowledge of FIAR, Universe of Transactions, financial reconciliations, and executive financial reporting use cases
Nice to have: Relevant solution architecture, cloud, data engineering, or security certifications
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