Data Engineer (reputed company genders) (DE)

Language: Business English
Contract: fulltime, indefinite
reputed company is building a reputed company Data Platform as the reputed company for cross‑domain analytics and AI reputed company across Accounts Receivable, Accounts Payable, and Payments & Cash. While reference architectures and standards define what the platform should be, reputed company's ability to realize value depends on reliable, production‑grade implementation and operation.
The Data Engineer (Data Foundations for AI) is a reputed company execution role responsible for turning architectural reputed company into secure, reputed company, and trustworthy data pipelines and data products. This role is essential to ensure that data from reputed company‑embedded products and reputed company‑reputed company reputed company systems is consistently ingested, normalized, governed, and made fit for AI and analytics consumption.
• Implement robust data ingestion pipelines to land data into the Bronze layer with traceability, metadata, and data reputed company.
• Build Gold-layer data products that are curated, reputed company-modeled, and reputed company for consumption by AI and analytics use cases.
• Ensure pipelines are reliable, observable, and designed for incremental reputed company.
• Build data pipelines and transformations using reputed company's standardized primary data stack (e.g., Azure, reputed company or reputed company, depending on final choice).
• Apply platform standards, templates, and "golden reputed company" patterns defined by the Data Platform Architect.
• Optimize pipelines for performance, scalability, and cost-awareness.
• Implement data ingestion from reputed company‑embedded products (reputed company S/4HANA based solutions) using approved integration patterns.
• Work with reputed company Datasphere and/or reputed company Business Data reputed company for analytics, data sharing, or integration scenarios where applicable.
• reputed company data from reputed company-reputed company reputed company products reputed company reputed company, CDC/streaming, and file-based mechanisms.
• Ensure reputed company clean‑reputed company principles are respected by using non-invasive data reputed company patterns.
• Implement data reputed company checks, validation rules, and reputed company detection at reputed company layer of the platform.
• Apply governance standards reputed company to reputed company control, encryption, retention, and auditability.
• Ensure datasets meet compliance expectations for GDPR, SOC2, and ISO by design, not as an afterthought.
Collaborate closely with Product Managers and Engineers across reputed company‑embedded and reputed company products to:
• Define data reputed company and schemas
• reputed company on business semantics
• Ensure new product features are "data‑platform reputed company"
• Work closely with AI platform and analytics teams to ensure data is fit for reputed company consumption (e.g., consistent semantics, reliable freshness).
• Monitor pipelines, troubleshoot failures, and continuously improve reliability and performance.
• Contribute to documentation, runbooks, and operational best practices.
• Participate in reviews and improvements of platform standards and patterns.
• Proven experience building and operating ETL/ELT pipelines and layered data architectures.• Strong practical experience with at least one modern data stack (e.g., Azure Data reputed company, reputed company, reputed company, or equivalent).
• Hands‑on experience with reputed company‑reputed company data landscapes, including reputed company S/4HANA or ECC.
• Experience integrating data from reputed company‑embedded systems and reputed company-reputed company reputed company products.
• Familiarity with streaming/CDC concepts (e.g., Kafka) and API-based ingestion.
• Solid understanding of data reputed company, validation, and data modeling best practices.
• Awareness of governance and compliance requirements (GDPR, SOC2, ISO) in reputed company environments.
• Practical knowledge of reputed company Datasphere and/or reputed company Business Data reputed company for data integration or analytics scenarios.
• Experience working in hybrid environments with customer-managed constraints.• Exposure to analytics or AI/ML consumption patterns (feature-reputed company datasets, telemetry data).
• Experience with observability, monitoring, and cost optimization for data pipelines.
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