Data Engineer
Core
Design, develop, and maintain data solutions for data generation, collection, and processing; define data requirements and structure for AI-first SAP cloud applications.
Role type
Senior Data/ML Engineer (Embedded FDE) (via careerplan.io/jobs/ATCI-5329423-S1944471-1-data-engineer-at-accenture)
Builds
End-to-end cloud architectures and production apps on SAP BTP with AI/LLM/Agentic features
Domain
Enterprise SaaS, Cloud Data Engineering, Generative AI
Deliverable
production ML models | product features
Required skills
Data Engineering, Cloud Architecture, AI/LLM/Agentic frameworks, Python, ML stack, REST/gRPC integration, Vector DBs, Data Modeling, Data Warehousing, Performance Optimization
Preferred skills
Machine Learning concepts, Big Data processing, Data Orchestration, CI/CD pipelines, ETL tools, DBT
Technologies
SAP BTP, SAP HANA, Databricks, Databricks Vector Search, MLflow, Databricks Asset Bundles, GitHub, GitLab, Photon engine, LangChain, LangGraph, MCP, Spark, Hadoop, Hive, Kafka, Apache Airflow, Informatica, Talend, Mati Llion, Five Tran, DBT
Responsibilities
Discover customer problems and frame AI-driven solutions; Design and implement end-to-end cloud architectures and production apps on SAP BTP; Build AI/LLM/Agentic features (RAG, hybrid retrieval) and integrate ML services; Ensure quality, security, observability, and CI/CD; Prepare Gen AI-compatible datasets (vector embeddings, index, Feature Store); Package and deploy pipelines using Databricks Asset Bundles; Troubleshoot, tune, and optimize jobs using Photon engine and serverless compute.
Seniority
Senior, hands-on IC (5–10 yrs)
