What Makes A Great Data Engineer?

Data engineers are critical to advancing your organisation. Their multi-disciplined skill set, which enables them to build, develop and maintain databases and large systems, means they’re very much in demand – and they rarely come cheap.

The best ones are a bit like gold dust, and businesses are often forced to settle for a lower-quality candidate as a result.

But it doesn’t have to be this way. With Lennon Wright by your side, you can find the leading data engineers on the market.

Here are some of the key ways in which to identify and attract these outstanding candidates.


They love to learn


Aptitude and a passion for the trade is essential. That’s why the best data engineers are often fluent in multiple programming languages and have used a range of systems.

Businesses are always looking to modernise their processes, and without knowing the pros and cons of each coding language, a data engineer can’t effectively deliver on an enterprise’s analytics. Problem-solvers at heart, data engineers need to be trusted to choose solutions that drive the business forward.

It’s their curiosity for new and emerging technologies, attendance at industry events, and disposition towards others in the field that should demonstrate this enthusiasm. To attract a top candidate, you need to present your organisation as a place where someone with this mindset can flourish.


They’re collaborative


A great data engineer works well with other members of the organisation. IT departments and business development teams rely on data, for example; engineers should foresee this and encourage collaboration.

In addition, excellent data engineers appreciate that the work of others can support their own. Companies can’t sustain themselves on siloed efforts, so data engineers should lead by listening to the pain points of their colleagues and tailoring their efforts for the overall betterment of the business.


They’re experienced


A lot of data engineering can be taught, whereas communication with teams and clients requires previous experience. So check their work history for clues. Multiple placements can be a sign of adaptability – provided they aren’t job-hopping.

You need evidence that they’re capable of aligning themselves to multiple brands and ways of working. The data engineers who will make a real difference to your business are those who’ve spent time applying numerous solutions in various real-world scenarios.


How thryve deliver top-tier talent


Of course, you need to attract attention to your vacancy in the first instance by describing your data engineer position as one that offers variation, progression and a supportive environment.

That’s where we come in. Our team are experts in capturing the perks of your organisation and sourcing high-calibre candidates.

We understand that a skilful data engineer is hard to come by – but with offices in Munich, London and Berlin, we guarantee access to the best in global talent.

Interested in accelerating your business with great data engineers? Get in touch today through our contact page, or use our Live Chat in the bottom right corner for immediate support.

Women in Tech | Germany’s Industry Leaders

It may not come to a surprise to you to hear that there are generally more males that work in the tech industry in comparison to women – but why? We speak to some of Germany’s most inspira...
24-01-2020 Read

Mistakes Engineers Make at Interview Stage by Hamza Ouaghad

So you have a confirmed interview lined up for an engineering role and you’re looking for some advice – look no further!   Hamza Ouaghad (Software Engineer at expertlead) has in...
24-01-2020 Read

5 Qualities of a Great Software Developer

What makes a good Software Developer? What qualities do you need? Here are our top attributes that equal a fantastic Software Developer.   1. Passionate     ...
22-01-2020 Read

Some of our clients.

Let's Talk!

  • I'm looking to hire
  • I'm looking for work
  • I'm interested in working for thryve
  • LinkedIN-
  • MeetUp
  • Conference
  • Xing
  • Facebook
  • Recommendation
  • Word of mouth
  • Twitter
  • Google
  • Instagram