August 8

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What is a Data Engineer and what do they do? 

By Ryan Freeman

August 8, 2022


Introduction
Big data is changing the way we do business and creating a need for Data Engineers who can collect and manage large quantities of data.

Data Engineers are very much in demand in the UK right now and they are becoming more expensive. According to Indeed.com at the time of writing, they have an average salary of £59,472 per year in United Kingdom, with contractors going for much more.

So, who are these golden data professionals and what are they tasked to deliver? Let’s delve into the world of the Data Engineer and find out …

The Data Engineer
The Data Engineer’s primary role is to prepare data for analytical or operational uses. They are the data pipeline builders who bring together information from various sources. The data is integrated, consolidated and cleansed for use in analytics applications.

Depending on the size of an organisation, the Data Engineer will work with a different scale and complexity of data. The larger the organisation the more complicated the analytics architecture and the more data they will be responsible for.

Data Engineers work in data teams with Database Administrators and Data Analysts to improve data transparency and enable businesses to make more trustworthy business decisions.

Data Engineering Skills
The very basics include the fundamentals of cloud computing, coding skills, and database design. Data Engineers however should be proficient in the following …

  1. ETL, which stands for extract, transform, and load, is the process data engineers use to extract data from different sources, transform the data into a usable and trusted resource, and load that data into the systems end-users can access and use downstream to solve business problems. ETL tools include Xplenty, Stitch, Alooma, and Talend.
  2. Data is most commonly stored in databases, so a thorough understanding of relational and non-relational databases is essential.
  3. Languages such as SQL, NoSQL, Python, Java, R, and Scala. Data Engineers need to be confident and efficient coders.
  4. There are many different types of data storage, from data lakes to data warehouses. Data Engineers need to understand the various types of data storage available and when and where to use them.
  5. Repetitive tasks call for automation and in the world of big data there is a lot that can and should be automated.
  6. Big data management is something Data Engineers can be responsible for so skills in technologies like Hadoop, MongoDB, and Kafka are very helpful.
  7. Data security is an area that all data professionals should be experts in, even if the organisation they are working with have their own dedicated data security teams. Data needs to be protected at all times.

Hopefully this article has helped to clear up what a Data Engineer is and what they do.

To stay competitive, organisations need to leverage data whenever and wherever possible to enhance business effectiveness and efficiency. To create such an environment, organisations need to create and develop data teams and understand who the key role-players are that contribute to their organisation being data-driven.

Digital Samurai is made up of a team of data professionals with skills and experience stretching across the spectrum of roles and technologies. We would love to hear what plans you have for your data team and data projects so please feel free to get in touch.

Ryan Freeman

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