SAP BI/BW Developer

Stack

Responsibilities

• ▹Support the prototyping, testing and implementation of data and AI use cases using Databricks, SAP Business AI or any cloud AI services (AWS or Azure)
• ▹Assist in building and integrating AI capabilities using LLM APIs, custom API connectors (such as MCP) or retrieval workflows to enhance analytics deliverables
• ▹Participate in data acquisition, cleansing, transformation and mapping to build clean data models for analytical reporting and AI use cases within SAP and non-SAP ecosystems
• ▹Perform data source evaluations, design basic ETL/ELT pipelines, and perform data preparation and business rule development
• ▹Identify and automate repetitive data workflows, testing tasks and monitoring scripts using Python and SQL
• ▹Create and maintain technical documentation for integrations and applications
• ▹Support incidents, requests and operational support activities per the standard ITSM lifecycle
• ▹Participate in on-call schedules to address critical operational incidents and data pipeline issues
• ▹Perform all other related duties as assigned

Requirements

• ▹3–5 years of practical experience in data engineering, software development or data analytics with modern data platforms
• ▹Hands-on familiarity with writing clean Python code, consuming REST APIs and working with modern AI frameworks
• ▹Strong proficiency in Python (Pandas, API integration) and complex SQL queries (must have)
• ▹Practical experience with Databricks, PySpark or similar cloud data platforms (must have)
• ▹Experience working with LLM APIs (e.g. OpenAI, Anthropic, Azure OpenAI) or building API-driven integrations/prototypes (must have)
• ▹Ability to work independently and as a member of a cross-functional team across the globe
• ▹Strong willingness to learn enterprise systems (like SAP) and innovate new solutions
• ▹Passion for applications, analytics and end-user productivity
• ▹Exceptional customer focus
• ▹Degree in computer science, data science, software engineering or equivalent from an accredited university (preferred)

Nice to have

• ▹Basic familiarity with SAP data structures or exposure to tools like SAP BW/4HANA, SAP Datasphere, CDS views or SAP Business AI
• ▹Exposure to Model Context Protocol (MCP) concepts or orchestration frameworks like LangChain/LlamaIndex
• ▹Familiarity with traditional BI reporting tools (e.g. SAP BOBJ, Power BI) or SAP Analytics Cloud
• ▹Master's degree in computer science or a related technical field

Soft skills

What we offer

• ▹Standard Monday-Friday work schedule
• ▹Office work environment

About the company

Thermo Fisher Scientific is a global organization with revenues of more than $40 billion and the largest investment in R&D in its industry. The Business Intelligence team within corporate IT provides data services, data lake and analytics services to internal customers.