Codeconvergence Limited (CCL)

About the Company

Code Convergence Limited (CCL) was founded in 2016 and head quartered in London, UK. Having spent many years working in the IT & Engineering Services, Solutions, Delivery and Recruitment industry, our founders' vision was to create a unique consulting experience for our clients, candidates and employees.

Taking a specialist approach and promoting open, honest and ethical values to run as a thread throughout our business operations; we aim to become the instinctive partner of choice when clients' needs

We believe that the very core of our values can be strengthened and redirected to the purpose of making a stronger impact on our customers, our people and society with IT. We dedicate ourselves to going deeper with thought, commitment and action in meeting the needs of our stakeholders

Our Footprints have extended to Europe and India serving trust and dedicated workforce for our customers

We work with our customers to define the right IT and Engineering strategy, and translate that into viable and sustainable solutions that meet business objectives. Our capabilities span creation, design, audit and optimization as well as development and implementation of technology products.
Specialities
Recruitment Specialists in IT & Engineering, Information Technology, Telecommunications, Media, Healthcare, Pharmacy We specialize in sector specific search of IT professionals.

Listed Jobs

Company Name

Codeconvergence Limited (CCL)

Job Title

SAP Data & Analytics Lead

Job Description

**Job Title** SAP Data & Analytics Lead **Role Summary** Lead the design, architecture, and delivery of enterprise data and analytics solutions using SAP Datasphere and SAP Analytics Cloud (SAC). Own end‑to‑end data modeling, pipeline development, and dashboarding for finance and cross‑functional domains while ensuring data governance, security, and performance. **Expectations** - 10‑12+ years of SAP data and analytics experience, with a focus on finance data modeling. - Proven leadership of design and implementation projects, from requirements gathering to production rollout. - Hands‑on development in SAP Datasphere and SAC, plus integration with S/4HANA, ECC, SuccessFactors, and third‑party sources. - Ability to mentor a small team of developers and collaborate with Finance, IT, Data Governance, and Architecture stakeholders. **Key Responsibilities** 1. Design, architect, and implement scalable data models and analytics solutions in SAP Datasphere and SAC. 2. Build, optimize, and maintain data pipelines, ODS models, and data integration (in/out) for finance and other domains. 3. Translate finance requirements into efficient, secure data models and dashboards, ensuring alignment with KPIs and regulatory rules. 4. Develop advanced calculations, KPIs, planning, and predictive analytics in SAC; create compelling stories and dashboards. 5. Establish and enforce data governance, lineage, and security best practices across Datasphere and SAC environments. 6. Integrate data from S/4HANA, ECC, SuccessFactors, external sources, and cloud systems; manage migration impacts such as ECC → S/4HANA. 7. Mentor and manage a small team of developers while staying hands‑on in solutioning and coding. 8. Perform performance tuning on large data sets for efficient querying and reporting. 9. Coordinate with cross‑functional teams to ensure end‑to‑end delivery and stakeholder satisfaction. **Required Skills** - SAP Datasphere: data modeling, semantic modeling, integration, transformations. - SAP Analytics Cloud: story building, planning, predictive features, dashboarding. - Data integration technologies and cloud data solutions. - Finance data modeling (FI – GL, AP, AR, AA, CO) and analytics. - Integration with S/4HANA, ECC, SuccessFactors, and non‑SAP data sources. - Data governance, lineage, security, and performance optimization. - End‑to‑end analytics solution design and implementation. - Strong communication and stakeholder management. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Information Systems, Finance, or related field. - SAP Certified Application Associate – SAP Analytics Cloud. - SAP Certified Application Associate – SAP Data Warehouse Cloud or SAP Datasphere (preferred).

London, United kingdom

On site

Senior

13-10-2025

Company Name

Codeconvergence Limited (CCL)

Job Title

SAP Datasphere Consultant

Job Description

**Job Title**: SAP Datasphere Consultant **Role Summary**: Design, implement, and govern HR data models in SAP Datasphere, integrating SuccessFactors data via OData APIs for analytics and reporting. Collaborate with HR stakeholders and technical teams to deliver optimized, secure data solutions for planning, performance analysis, and reporting in SAP Analytics Cloud. **Expectations**: 10–17 years in SAP Data & Analytics, 5+ years in HR data modeling and SuccessFactors integration. Demonstrated communication and stakeholder‑management skills; ability to deliver complex, secure data solutions on schedule. **Key Responsibilities** - Develop HR‑specific data models and semantic layers in SAP Datasphere (Recruitment, Onboarding, Payroll, Performance, Compensation). - Build fact tables, views, and analytical models aligned with HR KPIs and business requirements. - Model and harmonize SuccessFactors modules (Employee Central, Recruiting, Compensation) using OData APIs. - Implement data lineage, governance, and security controls for HR datasets. - Optimize ingestion pipelines for large HR datasets, ensuring real‑time or scheduled replication. - Prepare data models for consumption in SAP Analytics Cloud (SAC) for planning and reporting. - Work closely with HR business users, data engineers, and BI teams throughout the solution lifecycle. **Required Skills** - SAP Datasphere expertise (Spaces, Connections, Data Flows, Views, Analytical Models) and semantic modeling. - Deep HR domain knowledge: Recruitment, Onboarding, Payroll, Performance, Compensation. - SuccessFactors integration experience, OData API modeling, and data mapping from Employee Central, Recruiting, Compensation. - Data architecture, quality, lineage, governance, security, and performance optimization. - Strong analytical, problem‑solving, and communication skills. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field. - 10–17 years of SAP Data & Analytics experience; at least 5 years in HR data modeling and SuccessFactors integration. - SAP Datasphere and/or SAP SuccessFactors certifications preferred but not mandatory.

London, United kingdom

Hybrid

Senior

17-11-2025

Company Name

Codeconvergence Limited (CCL)

Job Title

Test Environment Manager

Job Description

**Job Title** Test Environment Manager **Role Summary** Lead end‑to‑end management of non‑production test environments, focusing on reliability, automation, and performance. Drive infrastructure as code (IaC) practices, define and monitor SLOs/SLIs, and cultivate a blameless, continuous improvement culture across development, QA, and SRE teams. **Expectations** - Minimum 15 years of engineering/operations experience - Proven track record in IaC, CI/CD, observability, and SRE practices - Strong leadership, analytical, and communication skills - Ability to influence cross‑functional stakeholders and drive process change **Key Responsibilities** - Design, implement, and maintain IaC (Terraform, Ansible, CloudFormation) to automate provisioning, teardown, and configuration of test environments. - Integrate environment management with CI/CD pipelines (Jenkins, GitLab CI, etc.). - Define SLOs/SLIs (availability, provisioning time) and develop dashboards/lists for monitoring. - Deploy and configure observability stack (Prometheus, Grafana, Splunk). - Lead incident response, conduct blameless post‑mortems, and implement corrective actions. - Identify and automate manual tasks to reduce operational toil. - Analyze environment performance data, incidents, and post‑mortem insights for continuous improvement. - Apply error‑budget principles to balance reliability and feature velocity. - Promote reliability culture; coordinate with development, QA, and SRE to foster shared ownership. - Perform capacity planning based on usage patterns and project forecasts. - Collaborate with Test Data Managers to ensure compliant, consistently provisioned test data. **Required Skills** - **IaC & Configuration**: Terraform, Ansible, CloudFormation - **CI/CD**: Jenkins, GitLab CI, others - **Observability**: Prometheus, Grafana, Splunk - **Cloud Platforms**: AWS (EC2, RDS, S3, Lambda, ECS/EKS), containerization (Docker, Kubernetes), serverless - **Scripting**: Python, Bash - **Systems & Networking**: Linux administration, networking concepts, database fundamentals - **Soft Skills**: Leadership & influence, analytical problem‑solving, clear communication, adaptability **Required Education & Certifications** - Bachelor’s degree (or higher) in Computer Science, Software Engineering, Information Technology, or related field. - Relevant certifications (e.g., AWS Certified Solutions Architect, Certified Kubernetes Administrator, Terraform Associate, or SRE/DevOps certifications). ---

London, United kingdom

Hybrid

Senior

05-12-2025