Bloomberg’s Data Technologies Engineering team is responsible for the data collection systems that onboard all of the referential data that drive the company’s applications and enterprise solutions.

It’s always tempting to say that things were simple in the old days. But speak with any surviving COBOL or Fortran programmer, especially those who had to deal with punch cards or rotating drums, and ...

The rise of machine learning and automation, coupled with an increased availability of data, has led to a renaissance in data analytics. Bloomberg’s rapidly growing Data Services Engineering team is ...

Database administrator has been a long-standing and highly in-demand job. But technology, as it has with desktop, server and storage administrators, continues to march on and change the role of ...

Though the AI era conjures a futuristic, tech-advanced image of the present, AI fundamentally depends on the same data standards that have been around forever. These data standards—such as being clean ...

Big data engineers develop, maintain, test, and evaluate big data solutions within organizations. Duties include resolving ambiguities in data, performance optimization, and data extraction. Big data ...

While popular advancements in data science, machine learning (ML), and AI have been at the forefront of data-centric business, data engineering is the metaphorical match that keeps these exciting ...

The latest trends in software development from the Computer Weekly Application Developer Network. This is a guest post for the Computer Weekly Developer Network written by Gordon Robinson in his ...

Mukul Garg is the Head of Support Engineering at PubNub, which powers apps for virtual work, play, learning and health. In my journey through data engineering, one of the most remarkable shifts I’ve ...

Located in Amsterdam, our EMEA HQ offices are a stone's throw away from the beautiful NEMO Science Museum, and the Amsterdam Central train station. Famous for its breathtaking architecture, canals, ...