Sr Data Engineer Supply Chain Analytics.

☞ Johnson & Johnson

看过: 245

更新日: 26-11-2025

位置: Geel Antwerp

类别: IT-软件

行业: Hospital & Health Care Medical Devices Pharmaceuticals

工作类型: Full-time

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工作内容

The Supply Chain Analytics (SCAN) program aims to provide Analytics as a Service to the Janssen Supply Chain (JSC) and democratize data to empower our work force. The Senior Data Engineer is responsible for preparing the Data Foundation in SCAN. They play a significant role in designing how we as manufacturing organization consume data from our Azure ADLS2 and other cloud storage solutions. They build and then maintain efficient and stable data pipelines that facilitate deeper analysis and reporting by data scientists, analysts, and hobbyists within JSC under the data architecture crafted by the JSC Digital Strategy and Manufacturing for the Future Strategy.

Principal Responsibilities

Should you join us, you will assemble large, sophisticated data sets that meet business requirements. These will be built from raw and unstructured data, including sensor data, user-input data, operational-data, and transactional data. You will build and maintain an efficient data pipeline architecture using appropriate programming languages (e.g., python, R, scala, spark, …), cloud computing tools (e.g., Databricks) and big data storage formats (e.g., Apache Parquet, Databricks Delta tables).

You will develop sustainable algorithms and pipelines to help make raw data usable for data analysis and visualization across JSC. You will assure these tools are aligned with the JSC data architecture, helping us to develop scalable solutions that enable better decisions, increased reliability, and improved business performance.

You will provide thought leadership to a highly diverse data engineering and science team, driving a culture of accountability. Working with our IT partners you will ensure our data architecture is fit-for-purpose. You will lead the way in building the software stack that powers SCAN with your strong programming know-how.

To be most effective, you show an ability to learn the key business processes and their systems as well as the data used and generated by these processes. You have the willingness to work with in- and external partners to translate the data into business opportunities through data analytics.

Up for the challenge?

Qualifications

Required Qualification
  • Advanced experience in software and data pipeline development using cloud solutions (e.g., Azure, AWS, GCP)
  • A strong technical understanding of ETL processes, data analytics tools and their associated technologies and a proven eye for business
  • Excellent coding skills including Python and/or R and their spark libraries (pyspark, sparklyr). The best candidates demonstrate an open-source spirit and are able to work effectively with others
  • Sound understanding design patterns, version control, and CI/CD; attention to detail
  • Curiosity and a high energy level so as to proactively engage our diverse set of business partners; self-starter with an independent mentality, ready to engage in hands-on work and fast prototyping
  • Excellent personal leadership, teamwork, communication, and analytical skills; strong project management skills
  • Proficient in English both verbally and in writing.
  • Credo: Ethics and Value, Integrity and Trust.


Desirable Skills
  • Experience in Tools used in the SCAN Digital Stack (Microsoft Azure, ADLS2, ADF, ...) and using multiprocessing/multithreading
  • Familiarity with pharmaceutical manufacturing processes
  • Experience with computer system validation (CSV) and familiarity with industry standards related to GxP IT solutions (CFR Pt. 11, EU Annex 11, GAMP5)
  • Experience with machine learning (regression, classification, clustering, NLP, …) as there will be opportunities to work on data science projects as well


Primary Location
United States-New Jersey-Titusville-1125 Trenton Harbourton Road
Other Locations
Europe/Middle East/Africa-Italy-Lazio-Latina, Europe/Middle East/Africa-Belgium-Antwerp-Geel, Europe/Middle East/Africa-Ireland-Cork-Cork, Switzerland-Zug-Zug, Switzerland-Schaffhausen-Schaffhausen
Organization
JANSSEN SUPPLY GROUP, LLC (6046)
Job Function
R&D
Requisition ID
2105949435W

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最后期限: 10-01-2026

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