

Jade Business Services (JBS)
AI Engineer – Databricks & SAP Business Data Cloud (BDC)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Engineer specializing in Databricks and SAP Business Data Cloud, offering a remote contract with occasional Houston office visits. Required skills include 5+ years in AI/ML, Databricks, strong Python/SQL, and SAP data experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 7, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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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
#SAP #Compliance #Databricks #Data Engineering #Security #ML (Machine Learning) #Spark (Apache Spark) #Monitoring #Scala #Azure #Data Governance #AI (Artificial Intelligence) #Data Pipeline #"ETL (Extract #Transform #Load)" #Delta Lake #AWS (Amazon Web Services) #MLflow #Cloud #Python #GCP (Google Cloud Platform) #SQL (Structured Query Language)
Role description
AI Engineer – Databricks & SAP Business Data Cloud (BDC)
Location – Remote with sometime in Houston office
Role Overview
We are looking for an AI Engineer to build and deploy AI/ML solutions using Databricks and SAP Business Data Cloud (BDC). This role focuses on transforming trusted SAP data into scalable AI-driven insights for enterprise analytics and finance use cases.
Key Responsibilities
• Design, build, and deploy AI/ML models using Databricks
• Develop data pipelines and feature engineering using Spark / Delta Lake
• Consume SAP data via SAP Business Data Cloud (BDC) and SAP Datasphere
• Enable governed, zero-copy data sharing between SAP and Databricks
• Productionize models using MLflow, model serving, and monitoring
• Partner with Finance, Analytics, and IT teams on AI use cases
• Ensure compliance with data governance, security, and enterprise standards
Required Qualifications
• 5+ years in AI/ML, Data Engineering, or Analytics Engineering
• Hands-on experience with Databricks (Spark, Delta Lake, MLflow)
• Strong Python and SQL skills
• Experience working with SAP data (S/4HANA, CDS, Datasphere, or BDC)
• Experience building production-grade data and ML pipelines
Preferred Qualifications
• Experience with Generative AI / LLMs on Databricks
• Knowledge of SAP Business Data Cloud (BDC) and Delta Sharing
• Cloud experience (GCP, Azure, or AWS)
• Finance or FP&A analytics experience is a plus
AI Engineer – Databricks & SAP Business Data Cloud (BDC)
Location – Remote with sometime in Houston office
Role Overview
We are looking for an AI Engineer to build and deploy AI/ML solutions using Databricks and SAP Business Data Cloud (BDC). This role focuses on transforming trusted SAP data into scalable AI-driven insights for enterprise analytics and finance use cases.
Key Responsibilities
• Design, build, and deploy AI/ML models using Databricks
• Develop data pipelines and feature engineering using Spark / Delta Lake
• Consume SAP data via SAP Business Data Cloud (BDC) and SAP Datasphere
• Enable governed, zero-copy data sharing between SAP and Databricks
• Productionize models using MLflow, model serving, and monitoring
• Partner with Finance, Analytics, and IT teams on AI use cases
• Ensure compliance with data governance, security, and enterprise standards
Required Qualifications
• 5+ years in AI/ML, Data Engineering, or Analytics Engineering
• Hands-on experience with Databricks (Spark, Delta Lake, MLflow)
• Strong Python and SQL skills
• Experience working with SAP data (S/4HANA, CDS, Datasphere, or BDC)
• Experience building production-grade data and ML pipelines
Preferred Qualifications
• Experience with Generative AI / LLMs on Databricks
• Knowledge of SAP Business Data Cloud (BDC) and Delta Sharing
• Cloud experience (GCP, Azure, or AWS)
• Finance or FP&A analytics experience is a plus






