AI & ML Data Engineer | Databricks, SAP & API Integration

ThermoFisher Scientific; México; Remote; MXN 700.000 - 1.100.000; Vollzeit

Zusammenfassung

Thermo Fisher Scientific in Mexico is seeking a Data Engineer Developer to join the BI Delivery and Operations team. You will work on data pipelines, AI use cases, and analytics projects to enable internal stakeholders to make data-driven decisions.

You’ll collaborate with data analysts and engineers, apply Python and SQL, and contribute to SAP-related data workflows. This role requires strong problem solving and cross-functional teamwork in a global context.

Qualifikationen

• 3–5 years of practical experience in data engineering, software development, or data analytics.
• Hands-on Python coding, REST APIs, and data integration experience.
• Familiar with modern data platforms and AI workflows.
• Able to work independently and cross-functionally across global teams.
• Degree in computer science, data science, or software engineering; masters preferred.

Aufgaben

• AI & Data Solutioning: prototype and implement data/AI use cases using Databricks, SAP Business AI, or cloud AI services.
• LLM & API integration: build and integrate AI capabilities via LLM APIs and connectors.
• Data Engineering & Modeling: acquire, cleanse, transform, and map data for analytic reports and AI apps.
• Pipeline Development & ETL: design ETL/ELT pipelines and perform data prep.
• Process Automation: automate data workflows, tests, and monitoring scripts.

Kenntnisse

Python

SQL

REST APIs

AI frameworks

Cloud data platforms

Ausbildung

Bachelor's degree in computer science/data science/software engineering

Master's degree (preferred)

Tools

Databricks

PySpark

OpenAI API

SAP BW/4HANA

SAP Datasphere

LangChain

Jobbeschreibung

Thermo Fisher Scientific in Mexico is seeking a Data Engineer Developer to join the BI Delivery and Operations team. You will work on data pipelines, AI use cases, and analytics projects to enable internal stakeholders to make data-driven decisions.

You’ll collaborate with data analysts and engineers, apply Python and SQL, and contribute to SAP-related data workflows. This role requires strong problem solving and cross-functional teamwork in a global context.