SAP BI/BW Developer

🔥 3 hours ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🖥 Software Engineer

👻 Ghost score 12%

What it means: the chance that no one is really hiring for this job.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

🧬 Biotechnology

💊 Pharmaceuticals

🏥 Healthcare

Biotechnology • Pharmaceuticals • Healthcare

Thermo Fisher Scientific is the world leader in serving science, with a stated mission to enable customers to make the world healthier, cleaner and safer. The company provides a broad portfolio of laboratory instruments, analytical technologies, diagnostics, consumables, software and services that support life‑sciences research, analytical testing, clinical diagnostics and the development and manufacture of therapies. Its operations and offerings (as described on its site and in its news) include advanced imaging and electron microscopes, chromatography and mass‑spectrometry systems, genetic and clinical testing, lab automation and AI tools, bioprocessing and contract development/manufacturing services (brands cited include Thermo Scientific, Applied Biosystems, Invitrogen, Gibco, Fisher Scientific, Unity Lab Services, Patheon and PPD). Thermo Fisher reports annual revenue over $45 billion and emphasizes corporate social responsibility, environmental and community programs alongside its scientific products and services.

📋 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, or retrieval workflows • Participate in data acquisition, cleansing, transformation, and mapping to build clean data models 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 • Passion for applications, analytics, and end-user productivity • Exceptional customer focus • 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 • Complex SQL query proficiency • Practical experience with Databricks, PySpark, or similar cloud data platforms • Experience working with LLM APIs such as OpenAI, Anthropic, or Azure OpenAI, or building API-driven integrations/prototypes • 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 concepts or orchestration frameworks such as LangChain/LlamaIndex (desirable) • Familiarity with traditional BI reporting tools such as SAP BOBJ or Power BI, or SAP Analytics Cloud (desirable)

🏖️ Benefits

• Challenging work in a growing global organization • Resources and opportunities to make significant contributions • On-call schedule participation for critical operational incidents

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