SAP BI/BW Developer

🕒 August 31

🇲🇽 Mexico – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🖥 Software Engineer

👻 Ghost score 19%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Thermo Fisher Scientific

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1956

🏥 Healthcare

📦 Logistics

🏭 Manufacturing

Healthcare • Logistics • Manufacturing

Thermo Fisher Scientific is the world leader in serving science, with annual revenue of more than $40 billion. Their mission is to enable customers to make the world healthier, cleaner, and safer by supporting life sciences research, solving complex analytical challenges, increasing laboratory productivity, and improving patient health through diagnostics and the development of life-changing therapies. With a global team, they offer innovative technologies and pharmaceutical services through brands such as Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon, and PPD.

📋 Description

• Support prototyping, testing, and implementation of data and AI use cases using Databricks, SAP Business AI, AWS, Azure, or other cloud AI services • Assist in building and integrating AI capabilities using LLM APIs, custom API connectors such as MCP, and retrieval workflows • Participate in data acquisition, cleansing, transformation, and mapping for analytical reporting and AI applications in SAP and non-SAP ecosystems • Evaluate data sources and design basic ETL/ELT pipelines • 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 activities according to standard ITSM lifecycles • Participate in on-call schedules for critical operational incidents and data pipeline issues • Perform other related duties as assigned

🎯 Requirements

• 3–5 years of practical experience in data engineering, software development, or data analytics with hands-on exposure to modern data platforms • Hands-on familiarity with writing clean Python code, consuming REST APIs, and working with modern AI frameworks • Ability to work independently and as a member of a cross-functional team across the globe • Strong willingness to learn enterprise systems such as SAP and innovate new solutions • Degree with major in computer science, data science, software engineering, or equivalent from an accredited university (preferred) • Master's degree in computer science or related technical field from an accredited university (desired) • Strong proficiency in Python, including Pandas and 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 such as OpenAI, Anthropic, or Azure OpenAI, or building API-driven integrations/prototypes (Must have) • Basic familiarity with SAP data structures or tools such as SAP BW/4HANA, SAP Datasphere, CDS views, or SAP Business AI (Desirable) • Exposure to Model Context Protocol (MCP) concepts or orchestration frameworks such as LangChain/LlamaIndex (Desirable) • Familiarity with traditional BI reporting tools such as SAP BOBJ and Power BI, or SAP Analytics Cloud (Desirable)