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Role & responsibilities Platform ownership: Lead the build and run of SAP Datasphere and SAC connectivity, data integration pipelines, and modelling standards. Architecture and design: Define integration patterns (live, federated, acquired), connectivity topologies (Cloud Connector, SDI/SDQ), and performance optimization (pushdown, caching). Security and compliance: Govern SSO/SAML, trusted connections, roles/authorizations, and data protection aligned to enterprise policies. Reliability and operations: Implement end-to-end monitoring, alerting, SLAs, runbooks, and incident/problem management for connectors, agents, and data pipelines. Collaboration and leadership: Partner with SAP functional teams, data/analytics, network/security, and business stakeholders; mentor engineers and enforce standards. Collaborate with cross-functional teams, contributing to the solution design and integration of SAC and Datasphere in end-to-end business processes. Preferred candidate profile Degree in Computer Science, Business Informatics or a comparable degree. Overall, 8-10 years of experience and at least 2-3 years experience working on SAP SAC / Datasphere solutions as a platform engineer / platform owner or relevant role. Proven experience designing and implementing solutions utilizing SAC for planning, forecasting, and KPI reporting, as well as integrating with SAP Datasphere and upstream processes. Platform engineering and modelling: Lead Datasphere space/design modelling (semantic, fact/dimension, associations, hierarchies, measures) with strong performance optimization, cost control, and pipeline orchestration (federation, query pushdown). SAC solutions and usability: Deliver high-quality SAC stories, input templates, Analytics Designer apps, and guided workflows, emphasizing usability, governance, and performance; manage live/import models and secure refresh scheduling. Enterprise connectivity and security: Own live/acquired connectivity across S/4HANA, Datasphere, and non-SAP sources using Cloud Connector, Destination service, OData/JDBC, SDI/SDQ, remote tables; enforce SSO/SAML, trusted connections, RBAC, and compliance. Operations, monitoring, and resilience: Establish observability (health checks, alerts), error handling, auto-recovery, and SLA-driven operations; optimize performance via partitioning, caching, and connectivity tuning. Governance and quality assurance: Define standards, naming conventions, data lineage, Data products and catalogue/metadata; drive testing (strategy, UAT, performance), defect management, and produce architecture/design documentation, runbooks, and user guides. DevOps and lifecycle management: Manage environment promotion (dev/test/prod), transport/deployment tooling, dependencies, and release readiness; oversee incident, problem, and change management. Stakeholder engagement and troubleshooting: Translate senior stakeholder requirements, prioritize value, and drive adoption; perform root-cause analysis across network/security/SAP basis/Datasphere/SAC with strong communication and diagnostic skills. SAP Coordination: Manage SAP OSS notes, service requests, and vendor engagements; evaluate and roll out feature packs and roadmap items. FinOps and cost optimization: Implement cloud cost governance for Datasphere and SAC, including usage analytics, rightsizing, tagging/chargeback, budget forecasting, and cost guardrails; drive performance-to-cost optimization. License management and entitlement governance: Administer SAC license allocations (BI, Planning) and Datasphere capacity; monitor active vs dormant users, reclaim and reassign entitlements, ensure compliance with contract terms, and report license utilization and optimization opportunities to leadership. Excellent communication skills and ability to work in an Agile environment. Energetic, organised and self-motivated. Fluent in business English. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.