Qode

20k-35k USD (based on experience and market rates for contract roles in KSA) (Estimated)

Role OverviewLead the SAP integration workstream — designing and hands-on building real-time, API-based integration between the MRO platform and SAP material master / inventory data using SAP Cloud Platform Integration (CPI / Integration Suite). This role covers both architecture and build, plus supporting the client's cybersecurity approval.Must-Have — technical depth expectedSAP CPI / Integration Suite: Hands-on build of integration flows (iFlows) — content modifiers, message mapping, routers, splitters, exception subprocesses; deployment and lifecycle management within the tenant.SAP MM data: Working knowledge of material master and inventory structures (MARA/MARC/MARD/MBEW or equivalent), movement/stock data, and how MRO-relevant fields map to downstream consumers.Integration protocols: OData, IDoc, BAPI, RFC — selecting the right mechanism per use case and implementing it within CPI.REST and SOAP APIs: Building and consuming both; payload transformation (JSON/XML), WSDL handling, adapter configuration.Integration architecture: End-to-end data flow design, interface specifications, error-handling and retry strategy, throughput/latency considerations for real-time integration.Good-to-HaveSAP BTP, S/4HANA, secure connectivity (Cloud Connector, OAuth, certificate-based auth) to support cybersecurity sign-off, API management, message monitoring and structured error handling.Scope of WorkDefine and document the integration approach and the APIs to be used.Produce the architecture diagram and detailed data flow documentation.Confirm whether any custom (ABAP/side-by-side) development is required.Build, configure, test, and deploy the real-time CPI integration to SAP material master and inventory — hands-on.Support the client cybersecurity approval process (secure connectivity, auth, certificates).Estimate CPI message volumes and run cost.Support rollout from the initial pilot plant across all plants.

Full Stack Developer (UI)

Qode

20k-35k AED (Estimated)

Role OverviewOwn the front-end and Node.js service layer of an MRO Inventory Optimization platform for a petrochemical client. You'll build production-grade React applications backed by REST services, integrated into the client's secure onsite environment, working as an extension of an offshore delivery team.Must-Have — technical depth expectedReactJS: Component architecture, hooks (useState/useEffect/useMemo/useCallback), context API, state management (Redux Toolkit, Zustand, or React Query), controlled forms, performance optimization (memoization, code-splitting, lazy loading).TypeScript: Strong typing across components and API contracts, interfaces/generics, discriminated unions, typing of API responses and props; avoiding any in production code.Node.js: Building and maintaining REST services (Express/NestJS), middleware, request validation, error-handling patterns, async/await, integration with downstream APIs and databases.REST APIs: Designing and consuming RESTful endpoints, status-code semantics, pagination, filtering, request/response schema design, error contracts.Authentication: Session vs token-based auth, JWT lifecycle (issue/refresh/revoke), secure cookie handling, route guarding, role-based access control on the UI.Good-to-HaveNext.js (SSR/SSG, app router), SSO/OAuth 2.0 + OIDC integration, responsive/accessible design (WCAG basics), Docker containerization, CI/CD pipelines, prior enterprise application experience (audit trails, RBAC, multi-tenant patterns).Scope of WorkBuild interactive dashboards and analytics visualizations (chart libraries such as Recharts/Chart.js/D3) backed by API data.Develop inventory management screens with complex tables, filtering, bulk actions, and inline editing.Implement approval workflows with multi-step states, role-based actions, and status tracking.Build user management (roles, permissions, RBAC-driven UI).Integrate with backend APIs (including data services feeding from SAP/BigQuery), handle auth flows, and ensure responsive behavior across devices.

Data Engineer (Python)

Qode

25k-35k AED (Estimated)

Role OverviewBuild the data backbone of the MRO Inventory Optimization solution — ingestion, cleansing, transformation, and the optimization logic that turns raw SAP material master and inventory data into actionable outputs. You'll own pipelines from source through to the analytics and application layers.Must-Have — technical depth expectedPython: Production-grade code, modular design, packaging, logging, config management, unit testing (pytest); strong grasp of data structures and performance.Pandas / NumPy: Vectorized transformations, joins/merges, groupby/aggregation, handling large datasets, deduplication, type coercion, working with messy real-world MRO/master data.Airflow: Authoring DAGs, operators/sensors, scheduling and backfills, task dependencies, retries/SLAs, idempotent pipeline design, parameterization.BigQuery: Writing performant SQL, partitioning/clustering, cost-aware querying, loading/exporting data, working with nested/repeated fields.SQL: Advanced joins, window functions, CTEs, aggregation, query optimization across relational and warehouse engines.API development: Building and consuming REST APIs (FastAPI/Flask), request validation, pagination, integration with upstream systems (e.g., SAP-sourced data via CPI/OData).Good-to-HavePySpark (distributed transforms)ML basics (forecasting/classification relevant to inventory optimization — EOQ, demand forecasting, slow-moving/obsolete stock detection)Data quality frameworks (Great Expectations or similar)DockerCI/CDScope of WorkData ingestion from SAP material master and inventory feeds (via API/OData) and other sources into the warehouse.Data cleansing and master data processing — standardizing material descriptions, deduplication, classification, handling incomplete records.Build and orchestrate ETL pipelines (Airflow → BigQuery), ensuring reliability, idempotency, and data lineage.Implement inventory optimization logic (reorder points, safety stock, EOQ, criticality/ABC analysis, obsolescence flags).Develop backend services / APIs exposing processed data to the UI and BI layers.

Power BI Developer

Qode

20k-30k AED (Estimated)

Role Overview Deliver the reporting and visualization layer of the MRO Inventory Optimization platform — building performant, governed Power BI models and dashboards for operational users and executives, sourced from BigQuery and the project's data services. Must-Have — technical depth expected Power BI: End-to-end report development, visual selection and design, drill-through, bookmarks, tooltips, performance tuning (reducing visual/query load). DAX: Measures vs calculated columns, CALCULATE and filter context, time-intelligence functions, iterators (SUMX/AVERAGEX), variables, debugging context transition. Power Query (M): Data shaping, merges/appends, parameterization, query folding awareness, handling incremental refresh sources. Data modeling: Star schema design, fact/dimension modeling, relationship cardinality and filter direction, avoiding many-to-many pitfalls, optimizing model size (column cardinality, aggregations). SQL / BigQuery: Writing and tuning source queries, DirectQuery vs Import trade-offs, working with partitioned warehouse tables. Row-Level Security (RLS): Static and dynamic RLS, role definitions, USERPRINCIPALNAME-based filtering, testing security roles. Good-to-Have Paginated reports (Report Builder), Power BI Service administration (workspaces, gateways, refresh schedules, deployment pipelines), data governance (sensitivity labels, lineage, certified datasets), Python/R visuals or scripting, Azure DevOps for version control and deployment. Scope of Work Build KPI dashboards for inventory metrics (stock levels, turnover, carrying cost, stockout risk, slow-moving/obsolete inventory). Develop inventory analytics views with drill-down by plant, material group, and criticality. Create executive dashboards with high-level summaries and trend analysis. Design the underlying semantic model, implement RLS for multi-plant/role access, and optimize refresh performance.

SAP Integration Consultant (SAP CPI)

Qode

Not specified, contract based on experience and duration. (Estimated)

Role Overview Lead the SAP integration workstream — designing and hands-on building real-time, API-based integration between the MRO platform and SAP material master / inventory data using SAP Cloud Platform Integration (CPI / Integration Suite). This role covers both architecture and build, plus supporting the client's cybersecurity approval. Must-Have — technical depth expected SAP CPI / Integration Suite: Hands-on build of integration flows (iFlows) — content modifiers, message mapping, routers, splitters, exception subprocesses; deployment and lifecycle management within the tenant. SAP MM data: Working knowledge of material master and inventory structures (MARA/MARC/MARD/MBEW or equivalent), movement/stock data, and how MRO-relevant fields map to downstream consumers. Integration protocols: OData, IDoc, BAPI, RFC — selecting the right mechanism per use case and implementing it within CPI. REST and SOAP APIs: Building and consuming both; payload transformation (JSON/XML), WSDL handling, adapter configuration. Integration architecture: End-to-end data flow design, interface specifications, error-handling and retry strategy, throughput/latency considerations for real-time integration. Good-to-Have SAP BTP, S/4HANA, secure connectivity (Cloud Connector, OAuth, certificate-based auth) to support cybersecurity sign-off, API management, message monitoring and structured error handling. Scope of Work Define and document the integration approach and the APIs to be used. Produce the architecture diagram and detailed data flow documentation. Confirm whether any custom (ABAP/side-by-side) development is required. Build, configure, test, and deploy the real-time CPI integration to SAP material master and inventory — hands-on. Support the client cybersecurity approval process (secure connectivity, auth, certificates). Estimate CPI message volumes and run cost. Support rollout from the initial pilot plant across all plants.