SAP Cloud Data Platforms Engineer, Apple

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Job Description

The SAP Cloud Data Platforms Engineer position at Apple is a segment of the IS&T SAP Global Systems team that supports the whole company’s operations and monetary transactions thereby serving as its backbone. The main area of the job involves not only envisaging and constructing but also running advanced cloud data architectures that make it possible for all sales, production, distribution, and finance to base their decisions on data. The position integrates experienced knowledge of SAP data with the latest in cloud architecture, automation, and innovation.

Date Posted: Jan 15, 2026

Expiration Date: NA

Role Number: 200640998-1052

Role: SAP Cloud Data Platforms Engineer

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Primary Responsibilities

  • Design, develop and manage cloud-native data platforms that are both scalable and secure.
  • Utilize SAP Datasphere, SAP Business Data Cloud (BDC), SAP Analytics Cloud, SLT Replication Server, and SAP HANA Cloud to provide data solutions.
  • Create data integration solutions in a complex hybrid landscape where both SAP and Non-SAP systems like Oracle, Kafka, MySQL, Postgres, Snowflake, and S3 co-exist.
  • Conduct data prep, integration, modeling, and governance in line with data mesh practices.
  • Facilitate Data Science, AI, and ML use cases across SAP and cloud environments.
  • Apply security, monitoring, logging, and alerting best practices in cloud-native infrastructures.
  • Lead automation initiatives to eliminate manual tasks and expand platform reliability.
  • Work with cross-functional teams to create data architectures that are high-performance and cost-efficient.

Key Qualifications

  • 7 to 10 years of experience in data engineering, data platforms or analytics.
  • Wide-ranging and deep knowledge of SAP Data and Analytics landscape made up of SAP Datasphere, SAP BDC and SAP Analytics Cloud.
  • Hands-on experience in HANA data modeling, SQL scripting, data transformations and performance optimization.
  • Collaboration in the domain of data integration, replication, federation, scheduling and monitoring both between SAP and Non-SAP systems.
  • Full understanding of SAP BTP and cloud-native architectures.
  • Excellent analytical, communication and stakeholder management skills.
  • Able to work independently while being a helpful and supportive team member in cross-functional teams too.

Preferred Qualifications 

  • A Bachelor’s degree in Computer Science, Engineering or related fields is a must.
  • Good knowledge of Python and integration of HANA-ML; awareness of AI Core and ML Ops is a plus.
  • A comprehension of authentication mechanisms, certificates, secrets, and security protocols is required.
  • Practical experience with SAP BW 7.x, BW/4HANA, and S/4HANA embedded analytics would be good.
  • Awareness regarding orchestration and monitoring patterns for data pipelines would be fine.
  • An understanding of hybrid cloud architectures, including regions, availability zones, VPCs, load balancers and API gateways is a plus.
  • Proven experience in communication and cooperation with business stakeholders, as well as in solving complex cross-component problems are required.