Custom Software Engineer

Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : SAP BTP Datasphere
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
Manage SAP Datasphere diagnostic and delivery workstreams covering integration, modeling, governance and analytics consumption, and lead teams through remediation.

Roles & Responsibilities:
a) Manage diagnostics across connections, remote tables, replication flows, data flows, transformation flows, spaces, semantic models, analytical models and consumption interfaces.
b) Design layered inbound, harmonization, propagation and consumption models that preserve business context and support reusable data products.
c) Maintain evidence-based RAG ratings, data-quality findings, reconciliation gaps, risks, dependencies, decisions and prioritized remediation backlogs.
d) Lead federation or replication decisions, performance tuning, failed-load recovery, delta validation, lineage checks and access-control remediation.
e) Facilitate business, data, analytics and SI workshops assure model, pipeline and test deliverables prepare steering materials and escalate risks.
f) Support BW modernization, SAC integration, cross-space sharing, data catalog adoption, knowledge transfer and production stabilization.

Professional & Technical Skills:
a) Must To Have Skills: SAP Datasphere, data integration, federation and replication, spaces, data flows, transformation flows, SQL and graphical modeling, analytical models, semantic modeling, security and governance.
b) Good to have Skills: SAP Business Data Cloud, SAP Analytics Cloud, SAP BW or BW/4HANA, BW bridge, SAP HANA Cloud, SLT, ODP, CDS extraction, data products and enterprise data-platform integration.
c) Experience designing SAP and non-SAP source connectivity, layered data models, data quality, lineage, cataloging, access controls, reconciliation and operational monitoring.
d) Ability to choose federation or replication based on latency, volume, source load, transformation, retention, performance and recovery needs.
e) Demonstrated experience in distressed programme or workstream diagnostics, stabilization, turnaround planning, remediation governance and recovery execution, with evidence of improving delivery confidence, data or application quality, performance, operational stability or go-live readiness.

AI and Digital Expectations:
a) Use SAP Generative AI, Joule, Microsoft Copilot and other approved AI tools to analyse programme documents, technical artefacts, code or data models, tests, incidents, RAID logs and delivery data identify patterns, dependencies, inconsistencies and improvement opportunities.
b) Apply human validation, confidentiality, security, bias awareness, traceability and compliance with client and organisational policies to all AI-assisted outputs.

Leadership and Stakeholder Competencies:
a) Communicate evidence-based findings clearly, facilitate accountable decisions and collaborate effectively across client, SI, business, architecture, engineering, data, security and operations teams.
b) Coach team members, own outcomes appropriate to the level, and escalate material risks with clear evidence and recommended actions.

Desirable Experience:
a) Relevant SAP certifications in SAP BTP, SAP HANA Cloud, SAP Datasphere, SAP Business Data Cloud, SAP Analytics Cloud, SAP Generative AI or related technologies.
b) Exposure to programme assurance, quality audits, commercial controls, multi-vendor delivery and S/4HANA transformation.

Additional Information:
a) Typically 10-14 years of relevant enterprise application, data-platform or SAP delivery experience.
b) A 15 years full-time education is required.