data engineeringData engineering is the complex task of making raw data usable to data scientists and groups within an organization. Data engineering encompasses numerous specialties of data science.

In addition to making data accessible, data engineers create raw data analyses to provide predictive models and show trends for the short- and long-term. Without data engineering, it would be impossible to make sense of the huge amounts of data that are available to businesses.

If your company lacks a fundamental data engineering strategy, the data that is collected is essentially useless. Data engineering is a vital aspect of company growth, network interactions, and predicting future trends.

The future of data engineering is certainly bright because most data engineers and data analysts are wearing many hats today. This is because the investment into the data team has only recently increased.

As the value of data teams becomes more evident and more investment is placed in this department, data teams will specialize to focus on a particular function.

This could mean having a reliable data engineer, a visualization lead and a separation between backend and frontend data engineering teams.

How will data engineering continue to evolve?

The “data gap” between data producers and consumers will shrink

As more investment is directed towards self-service analytics, the gap between data consumers and data producers will continue to shrink.

Tools that help teams centralize an understanding of data will become mandatory across all data teams. We’ve solved storing data, and moving data, as well as visualizing data. When we look at the challenges that a team faces today, the idea of self-serve analytics and understanding is the next largest issue.

Data Roles Will Get a Board Level Seat

There will certainly be changes in data engineering “on the ground,” but one trend that will shape organizations in a significant way over the next 10 years will be the increasing value and responsibility of data executives.

Leadership and the decisions made by leadership shape organizations. As we see more and more data roles in the boardroom, the data function (and data itself) will increasingly become a first-class citizen and a key consideration in all decision making; whereas in the past it has been important but not critical, it’s now treated as a required business function for modern organizations.

Data will become a product

More data teams will adopt practices that help them measure, manage and develop data like a product team. On the surface, this might mean a transition towards agile project management. At a more intricate level, this might mean transitioning towards data tools that enable cross-organization collaboration, version control and monitoring. We believe that innovation in this area of data analytics will be interesting.

As data becomes more valued inside of businesses and the technology makes what were once challenging problems easy to solve, data engineers will be able to spend more time adding strategic value — not trying to make the data and plumbing work.

It is also important to note that data engineers are in demand in any medium or large business, especially in projects that relate to digital and IT. Fintech banks, digital agencies, food companies, or consulting projects are all included.

There are representatives of business in almost all spheres among data engineering job offers. That’s why investing in your skills right now can make such a huge impact on your future.

Also, a data engineer can later grow into a product, marketing, or business analyst. That is an impressive step to take responsibility for the development of a specific product or project. Similarly, an opportunity to make strategic business decisions could develop, where you can back up your opinions with analytical data.

If you are in the engineering job market, now would be the best time to check out our job board for vast engineering job opportunities.