Extensible Markup Language (XML)

markup language, data exchange, data storage, file format
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Companies looking for XML

168

Back in the late nineties, when the internet was still largely a Wild West of poorly formatted HTML, came a beacon of hope—or so we were told. Extensible Markup Language promised to solve the problem of data transport and storage with a simple idea: define your own tags. It was the lovechild of SGML and HTML, aiming for machine-readability and self-documentation. Quite clever, really, though one does wonder if anyone actually read those verbose XML files.

The reality? XML became a sprawling beast of configuration files, web services contracts, and data exchange formats. While it delivered on interoperability, it also delivered a hefty dose of parsing overhead and verbosity. JSON, the scrappy upstart, quickly stole its lunch as the preferred data format for the web. Today, XML persists in legacy systems and certain enterprise applications—a testament to sunk costs and the enduring power of established standards. It's still there, quietly humming along, proving that sometimes, "good enough" is good enough indeed.

Used together with XML

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Jobs (this month)

181

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Jobs in using Extensible Markup Language (XML) for but please no

analytics engineer

Principal Statistical Programmer @ ipsen

FR | 2025-12-27
As a Principal Statistical Programmer with Ipsen, you’ll be elbow-deep in clinical datasets, wrangling SAS through the chaos of regulatory requirements. This role demands a 5+ year veteran in... read more »
Management, SAS, Data Management, SQL, XML, SAP
analyst

Stage Logiciel : Développement d'un outil d'extraction, d'analyse et de visualisation de données F/H @ mbda

FR | 2025-12-26
MBDA’s student/alternance role reads like a grounded data tooling internship rather than a buzzword-filled data science job. You’ll build a graphical tool to search, extract, and analyze... read more »
Word, DataViz, KPI, Python, Java, C, XML, R
promoted

BigQuery Cost Optimization Guide by Masthead Data

The BigQuery Cost Optimization Guide is a valuable resource that offers a deep dive into understanding and managing the complexities of BigQuery costs. It provides practical guidelines and strategies to help you optimize both storage and compute expenses, ensuring you get the most value out of...

Learn More
data engineer

Director, Principal Data Architect @ tiffany-and-co

FR | 2025-12-26
The role is an ambitious opportunity for a seasoned data engineer with deep expertise in GCP, but it lacks specificity in defining responsibilities and expectations. The candidate must lead a... read more »
Management, GCP, Analytics, Cloud Computing, Big Data, AI/ML, Data Streaming, Data Lake, DWH, Data Engineering, AWS, Azure, SaaS, Data Management, DevOps, CI/CD, Marketing, Agile/Scrum, BigQuery, Cloud Composer, Fivetran, Power BI, Dataiku, SQL, ETL/ELT, Jira, Azure DevOps, GitHub, Computer Science, Cyber Security, Data Quality, API, Parquet, Avro, XML, CSV, dbt, Python, Data Science