Contact us for more information

Call us on 01753 898 765 or fill in the form below:

More about Data Engineering Training

What does a data engineer do?

Data engineers are often skilled coders, who are responsible for the creation and managing of databases. They play an important role in the overall data pipeline, supplying data scientists and analysts with the systems they need to interpret data.

Whilst an analyst is responsible for acting on insights, and a data scientist handles big data, a data engineer works mostly with data architecture and ensuring that databases are managed and maintained.

How to get into data engineering?

Data engineers often have a technical background in data or computer science. This includes understanding how databases work and how they are coded – therefore they may understand Python, R and SQL.

A degree in mathematics or programming can lead to a career in data engineering, where there is then opportunity to gain wider expertise in data, machine learning and AI. This includes understanding data safety, data storage and big data, as well as soft skills such as the ability to tell stories with data to non-technical stakeholders.

Those wanting to get into this field can also seek Data Apprenticeship opportunities, which can offer several routes into a career in data.

How in-demand are data engineers?

As organisations collect more and more customer and business data, data engineers are increasingly in-demand. The role of a data engineer is vital in the overall data pipeline, and can severely impact how well data scientists and analysts can complete their own roles. This has result in huge demand for more data engineers to help businesses better manage their digital databases.

Which software tools do data engineers use?

There a number of tools that data engineers will use on a regular bases. They may need to understand how to use Amazon Web Services and Microsoft Azure, as well as data visualisation tools, such as Microsoft Power BI and Tableau.

Data engineers may also need to learn programming codes, such as Python, or R, but these skills and software will likely vary depending on the organisation a data engineer is working for. With various tools available, there are opportunities to specialise in different areas of data engineering.