Data Engineering’s Role Is Scaling Beyond Scope — And That Should Be Celebrated

Saravanakumar Subramaniam, Principal Data Engineer, Matthieu Vautrot, Principal Data Engineer, Evangelos Theodoridis, Principal Data Engineer, QuantumBlack. With contributions from Toby Sykes, Global Head Of Data Engineering, QuantumBlack

Toby Sykes, Global Head Of Data Engineering, QuantumBlack

The 2021 Data Engineer

There are few question marks around advanced analytics these days — people know that it can be applied to drive business value. There are still questions around fragmented, legacy data landscapes and therefore there is a challenge around how quickly, efficiently, and effectively solutions can be scaled in order to drive the most value across an organisation. This is where data engineering plays a crucial role.

Building An Environment For Data Engineering Growth

With high functioning analytics teams increasingly relying on data engineers, organisations have had to adapt. The race for engineering talent has certainly grown hotter in recent years as companies recognise the business value in iterating faster with data and scaling value delivery in order to continuously learn and drive better organisational performance.

An advanced analytics firm operating at the intersection of strategy, technology and design. www.quantumblack.com @quantumblack

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