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The right way to Change into a Data Engineer

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The right way to Change into a Data Engineer

A shortcut for beginners in 2024

Towards Data Science
Photo by Gabriel Vasiliu on Unsplash

This story explains an accelerated way of moving into the information engineering role by learning the required skills and familiarising yourself with data engineering tools and techniques. It would be useful for beginner-level IT practitioners and intermediate software engineers who would really like to make a profession change. Through my years as a Head of Data Engineering for some of the successful start-ups within the UK and mid-east, I learned lots from my profession and I would really like to share this data and experience with you. This can be a reflection of my personal experience in the information engineering field I acquired over the past 12 years. I hope it’ll be useful for you.

Data engineer — the role

Before everything, why data engineer?

Data engineering is an exciting and really rewarding field. It’s an enchanting job where we have now a likelihood to work with all the things that touches data — APIs, data connectors, data platforms, business intelligence and dozens of knowledge tools available out there. Data engineering is closely connected with Machine learning (ML). You’ll create and deploy all forms of data and ML pipelines.

It definitely won’t be boring and it pays well.

It pays well since it’s difficult to construct data platform. It starts with requirements gathering and design and requires considerable experience. It’s not a straightforward task and requires some really good programming skills as well. The job itself is secure because as long businesses generate data this job will probably be in high demand.

The businesses will all the time hire someone who knows how you can process (ETL) data efficiently.

Data engineering has been one in every of the fastest-growing careers within the UK over the past five years, rating 13 on LinkedIn’s list of probably the most in-demand jobs in 2023 [1]. The opposite reason to affix is the scarcity. In IT space it’s incredibly difficult to search out data engineer nowadays.

As a “Head of Data Engineering” I receive 4 job interview invites on LinkedIn each week. On average. Entry level data engineering roles are in…

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