According to LinkedIn’s 2020 Emerging Jobs Report, the recruitment rate of Data Engineers has increased by around 35% since 2015, with industries from banking to automotive and retail rapidly onboarding this valuable talent. Interestingly, an even higher-ranking role was Data Scientist at 37% annual growth.
Here at Dufrain, we believe the role of the Data Engineer is equally as important as the Data Scientist responsible for carrying out data analytics. In this blog, we’ll explain why that is and how Data Engineering Consulting Services can help your business grow.
To compete and thrive in today’s world of big data, organisations must be data-driven. Of course, being data-driven relies largely on data science, which is probably the first thing that springs to mind when you think of people working in data. However, with data proliferating at such advancing rates, data science is only part of the solution.
Data Engineering enables powerful BI & Data Analytics
Data Engineers are responsible for the important role of obtaining, cleaning, and integrating an organisation’s data. They do all the upfront legwork so that Data Scientists can more efficiently perform analysis and extract insights, enabling an organisation to make better-informed decisions.
Without getting into too much technical detail, Data Engineers are tasked with designing, developing, and maintaining your data platform, including the data infrastructure, data applications, data warehouse, and data pipelines. These are all vital components for a data-driven enterprise.
The main reason to become a data-driven company is to enable your business to thrive and ultimately grow. Using data to understand how your customers and business work will provide deeper insights to help your organisation grow faster. In turn, this growth produces even greater amounts of data – and so the cycle continues.
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Just think of all the additional work this generates in terms of readying your data. The onus shouldn’t just be on your analytics team to deal with it. After all, their primary focus should be uncovering meaning from the data.
But the greater the amount, the greater the requirement becomes to prepare all that data. That’s where the Data Engineer comes in – to collect, clean and organise the data sets, thus allowing the data scientist to fully focus on the data analysis processes.
A Data Engineer will support your Data Analysts and enable business growth by:
- Increasing data pipeline throughput
- Delivering data warehousing for scalable data analytics and BI
- Building a real-time data platform
- Maintaining a secure environment for data in motion and at rest
- Automating data compliance and auditing
One of the responsibilities of a Data Engineer is to building data pipelines, which are a key component of the overall data infrastructure that they are responsible for. Data pipelines effectively transform raw data into “clean” data that is optimised for use by Data Scientists in a range of data disciplines including business intelligence (BI), data analytics, machine learning and AI systems.
The role of Data Engineers goes way beyond building technical data solutions. They will carefully plan your data infrastructure to increase the overall levels of flexibility, innovation, and growth of your company. They will ensure data reaches your business faster, more reliably, and even continuously, given the right tools. In addition, Data Engineers allow their data science colleagues to firmly focus on the core aspect of their role – including BI and data analytics – giving your business greater opportunities to innovate and grow.
Your business needs to be data-driven in 2021
Dufrain’s consultants provide market-leading Data Engineering, BI and data analytics services. Find out how our Data Engineers could give your organisation a competitive advantage.