N Consulting Global

About the Company

N Consulting is a global professional services company with leading capabilities in data analytics, digital, cloud and security. We come with experience and specialized skills across industries segments, we offer Consulting , IT Services, Technology and Operations services across the globe. Our quality of people is key to our success who deliver on time, serving clients across America, Europe and Asia. We embrace the power of change to create value and sustainable communities. Visit us at www.n-cons.co.uk.

Listed Jobs

Company Name

N Consulting Global

Job Title

Solutions Architect

Job Description

**Job Title:** Solutions Architect **Role Summary** Design, document, and deliver integrated IT solutions for hybrid and on-premise cloud environments, ensuring alignment with enterprise architecture governance and project objectives. Lead architectural decision-making for complex programs requiring legacy system integration. **Expectations** Deliver technically robust solutions aligned with enterprise frameworks, support DevOps practices, and influence stakeholders at all organizational levels. Demonstrate expertise in Agile methodologies and cross-functional collaboration to resolve technical challenges. **Key Responsibilities** - Architect end-to-end solutions for hybrid cloud projects, integrating legacy systems as required. - Provide technical guidance and architectural assurance to DevOps teams. - Facilitate technical selection processes, including RFI/RFP, and evaluate third-party suppliers. - Lead architectural design authorities and ensure compliance with enterprise governance and portfolio management frameworks. - Translate complex technical decisions into clear communication for developers, managers, and non-technical stakeholders. **Required Skills** - Hybrid cloud/on-premise architecture design. - Legacy system integration experience. - Agile methodology application and DevOps collaboration. - Technical procurement expertise (RFI/RFP, supplier evaluation). - Enterprise architecture governance and portfolio management. - Proficiency in architectures: microservices, serverless, event-driven, SOA. **Required Education & Certifications** - Bachelor’s degree in computer science or related field preferred, but not required. - Certifications in Open Agile Framework (Open.org) or equivalent advantageous.

Surrey, United kingdom

On site

11-11-2025

Company Name

N Consulting Global

Job Title

SAP Data & Analytics Lead – HCM / HR

Job Description

**Job Title:** SAP Data & Analytics Lead – HCM / HR **Role Summary** Lead the design and delivery of SAP HR data solutions using SAP Data & Analytics tools (e.g., Datasphere, Analytics Cloud) to support data-driven HR decisions across workforce domains. Requires technical expertise in SAP HCM and HR data integration. **Expactations** Deep technical proficiency in SAP Data & Analytics platforms, ability to translate HR requirements into scalable data models, and leadership experience in cross-functional teams. Focus on data governance, ETL processes, and HR analytics for business impact. **Key Responsibilities** - Design, architect, and implement SAP Data & Analytics solutions (Datasphere, SAC) for HR/HCM systems (SuccessFactors, HCM On-Prem). - Build data models aligned with HR domain requirements and SAP best practices. - Translate HR functional needs into integrated data pipelines, reporting, and visualization solutions. - Oversee ETL processes across HR systems (e.g., Payroll, Time Management) and non-HR data sources. - Define data governance, quality, and security frameworks for HR data compliance. - Develop analytics dashboards for HR KPIs (attrition, diversity, talent management) using SAC or similar tools. - Mentor teams and collaborate with HR, IT, and Data Governance stakeholders to ensure data consistency and regulatory compliance (e.g., GDPR). **Required Skills** - SAP Datasphere (Data Warehouse Cloud) expertise. - SAP HANA modeling (Calculation Views, SQL scripting). - SuccessFactors/HCM data structure and integration experience. - SAP Analytics Cloud (SAC) dashboard development. - ETL process execution (SAP/non-SAP tools). - Proficiency in HR data governance, security, and privacy standards. - HR process knowledge (Talent, Workforce Planning, etc.). - Cross-functional collaboration and stakeholder communication. **Required Education & Certifications** - Bachelor’s/Master’s in Computer Science, Information Systems, or HR Analytics. - 8+ years SAP Data & Analytics experience. - 3+ years in HR/HCM data projects. - SAP certifications in Datasphere, HANA, or Analytics Cloud preferred, not mandatory.

London, United kingdom

On site

Senior

12-11-2025

Company Name

N Consulting Global

Job Title

AI Full Stack Developer

Job Description

**Job title** AI Full Stack Developer **Role Summary** Lead consultant responsible for delivering end‑to‑end full stack solutions with a strong AI focus. The role involves translating business requirements into technical scope, planning, coding, testing, documentation, and ensuring on‑time delivery of features and modules. **Expectations** - Deliver high‑quality code and AI components within agreed timelines. - Accurately estimate effort and manage risks during sprint planning. - Maintain comprehensive documentation and test coverage for all deliverables. **Key Responsibilities** - Define project scope and create detailed deliverables. - Translate functional requirements into technical design and implementation plans. - Develop and integrate AI features, including generative AI models, using Java and React. - Deploy and manage services on GCP and AWS platforms. - Perform unit, integration, and regression testing; maintain test documentation. - Identify and mitigate potential risks or dependencies early in the project lifecycle. - Collaborate with team leads, product owners, and stakeholders to align development with project milestones. - Participate actively in sprint planning and retrospectives to improve process and output. **Required Skills** - Full stack development (frontend React, backend Java). - Hands‑on AI and generative AI integration. - Cloud proficiency (Google Cloud Platform, Amazon Web Services). - Strong understanding of software architecture, CI/CD pipelines, and automated testing. - Ability to produce clear documentation and maintain code quality standards. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Software Engineering, or related field. - Certifications in cloud platforms (AWS Certified Developer/Architect, GCP Associate Cloud Engineer) are desirable.

London, United kingdom

Hybrid

12-11-2025

Company Name

N Consulting Global

Job Title

AWS Data Engineer

Job Description

Job title: AWS Data Engineer Role Summary: Design, develop, and maintain scalable, testable data pipelines on AWS using Python, Apache Spark, and AWS Glue/EMR. Implement lakehouse architecture with Apache Iceberg, integrate data observability and quality checks, and collaborate with business teams to translate requirements into data‑driven solutions. Expectations: - Deliver clean, maintainable Python code with type hints, linters, and automated tests (pytest). - Apply modern software engineering practices: version control, CI/CD, modular design, and automated testing. - Work effectively in Agile teams, participating in code reviews, pair programming, and architecture discussions. - Continuously learn and provide insights on financial indices and investment analytics. Key Responsibilities: - Design and construct scalable ETL pipelines using Python and Spark. - Orchestrate data workflows with AWS Glue, EMR Serverless, Lambda, and S3. - Implement lakehouse data layers and table formats using Apache Iceberg. - Build and maintain observability for data flows, including basic quality checks and schema evolution. - Translate business requirements into technical solutions in collaboration with stakeholders. - Participate in code reviews, pair programming, and architectural discussions. - Maintain CI/CD pipelines and automated testing suites. Required Skills: - Proficient in Python programming (type hints, linters, pytest). - Strong understanding of data engineering fundamentals: batch processing, ETL pipeline design, schema evolution. - Experience with or willingness to learn Apache Spark for large‑scale processing. - Familiarity with the AWS data stack (S3, Glue, Lambda, EMR). - Experience with version control (Git) and CI/CD tools (GitLab CI, Jenkins, GitHub Actions). - Knowledge of data quality frameworks such as Great Expectations or Deequ (desirable). - Agile mindset, collaborative communication, and stakeholder engagement. Required Education & Certifications: - Bachelor’s degree (or equivalent) in Computer Science, Information Systems, or related field. - AWS certifications (e.g., AWS Certified Data Analytics – Specialty, AWS Certified Big Data – Specialty) preferred but not mandatory.

London, United kingdom

Hybrid

12-11-2025