Jade Business Services (JBS)
SAP S/4HANA Finance Databricks – AI/ML Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an SAP S/4HANA Finance Databricks – AI/ML Data Engineer with a contract length of "unknown," offering a pay rate of "unknown." Key skills include SAP S/4HANA Finance, Databricks, Python, SQL, and ETL pipeline development. Experience in the Energy/Utilities domain is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 3, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Houston, TX
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Data Pipeline #Data Quality #SAP BW #Data Science #Databricks #PySpark #SQL (Structured Query Language) #Scala #SAP #Spark (Apache Spark) #Anomaly Detection #Data Extraction #Data Engineering #AI (Artificial Intelligence) #Forecasting #ML (Machine Learning) #Apache Spark #Python #Delta Lake
Role description
We are looking for a Data Engineer with strong experience in SAP S/4HANA Finance (FI/CO) and modern data platforms like Databricks/Spark. This role focuses on extracting SAP financial data, building scalable pipelines, and enabling analytics and AI/ML use cases.
Key Responsibilities
• Extract data from SAP S/4HANA (FI/CO) using CDS views, OData, SLT, or SAP BW
• Design and build data pipelines into Databricks (Spark/Delta Lake)
• Transform and model financial data for reporting and analytics
• Develop and optimize ETL/ELT workflows
• Collaborate with data science teams to support AI/ML use cases
• Ensure data quality, consistency, and performance
Required Skills
• Strong experience with SAP S/4HANA Finance (FI/CO) data
• Hands-on experience in SAP data extraction (CDS views, OData, SLT, or BW)
• Experience with Databricks or Apache Spark (PySpark preferred)
• Proficiency in Python and SQL
• Experience building ETL/ELT pipelines
Preferred Skills
• Exposure to AI/ML use cases (forecasting, anomaly detection)
• Experience in Energy/Utilities domain
• Familiarity with Delta Lake / Lakehouse architecture
We are looking for a Data Engineer with strong experience in SAP S/4HANA Finance (FI/CO) and modern data platforms like Databricks/Spark. This role focuses on extracting SAP financial data, building scalable pipelines, and enabling analytics and AI/ML use cases.
Key Responsibilities
• Extract data from SAP S/4HANA (FI/CO) using CDS views, OData, SLT, or SAP BW
• Design and build data pipelines into Databricks (Spark/Delta Lake)
• Transform and model financial data for reporting and analytics
• Develop and optimize ETL/ELT workflows
• Collaborate with data science teams to support AI/ML use cases
• Ensure data quality, consistency, and performance
Required Skills
• Strong experience with SAP S/4HANA Finance (FI/CO) data
• Hands-on experience in SAP data extraction (CDS views, OData, SLT, or BW)
• Experience with Databricks or Apache Spark (PySpark preferred)
• Proficiency in Python and SQL
• Experience building ETL/ELT pipelines
Preferred Skills
• Exposure to AI/ML use cases (forecasting, anomaly detection)
• Experience in Energy/Utilities domain
• Familiarity with Delta Lake / Lakehouse architecture
