Landing Data Engineering Jobs In The UK

Why should you pursue a data engineering career in the UK?

Data engineering can be a rewarding career, but it is not for everyone. If you're interested in pursuing a career in data engineering, you'll need to make sure that it's right for you. Here are five reasons why you should pursue a data engineering career in the UK:

1. Data engineers are in high demand. While many industries are struggling with an excess of qualified workers and a shortage of skilled ones, data engineering is one of the few professions where there are more jobs than people available to fill them. The number of workers in this field has been increasing steadily since 2013, but there still aren't enough qualified applicants to fill every job opening. That means that if you want to enter this field, there's a good chance that your skills will be in high demand.
2. You'll be able to work with cutting-edge technology. Many businesses rely on big data systems for their day-to-day operations, and this trend isn't going away anytime soon. If you're interested in working with new technologies and tools, then pursuing a career as a data engineer might be the right choice for you!
3. You'll have plenty of opportunities for advancement within your organization or industry as a whole if your skillset is in-demand.
4. The average salary for data engineer jobs in the UK is £50,000 per year. That's nearly double the national average salary!
5. You'll be able to work in a variety of industries. Data engineering is one of the few professions that is needed in nearly every industry, from healthcare to finance. No matter what your interests are, there's a good chance that you'll be able to find a data engineering job that aligns with them.

If you're convinced that data engineering is the most suitable career option for you, here's how you can land a lucrative job in this field.

Building a portfolio

The best way to demonstrate your abilities is through your portfolio. Your portfolio should include a variety of projects that showcase your skills and experience, including:

• A collection of blog posts or data science articles that you’ve written. If you don’t have any published work yet, consider writing about something related to the data science field for an online publication such as myself! You can also share links to other people's content (with their permission) as part of your portfolio.
• Examples of code that you've worked on in your past python data engineer jobs—either large projects or small scripts/commands will do fine here! You may even want to include links to some open source repositories where you've contributed code if it helps show off what kind of developer experience you've had so far. It’s also helpful if these examples show off both frontend (e.g., JavaScript) and backend (e.g., Python) development skills because most companies will look for both types of engineers when hiring new tech talent."

Learn new skills

Learning new skills is important, no matter the level of your career. It's a great way to keep up to date, show that you are committed to your job and that you're a team player.

The UK pays a lot of attention to data science and machine learning, so it can be an excellent place for any career-minded software engineer with these interests. Learning how to use Python and other data science tools will help you stay abreast of industry trends in this area.

How to network and make the most of it

Networking is a key part of finding data center engineer jobs, and it can be difficult because you don't have control over who applies for your roles. However, there are things you can do to make networking more effective:

• Being friendly. If you're friendly and welcoming when people approach your table at an event or stand in the corridor on their way to lunch, it will be much easier for them to remember you. Remembering someone's name is one of the most important things for building relationships so try making an effort with this!
• Being helpful. It's important not just that you are able to help people when they ask questions but also that they notice that they've been helped by asking questions! If someone asks if they can borrow a pen because theirs has run out then offer another one straight away instead of waiting until later in conversation before offering help – this will show them how genuine and thoughtful (and useful!) you are as both a person and potential colleague.

Preparation is key

When preparing for a job interview, you should think about the following:

• Prepare for interviews by thinking through your strengths and weaknesses.
• Prepare for technical tests by reviewing the material you'll be tested on.
• Prepare for the job by researching the company's values and culture, as well as doing some networking with current employees.
• Prepare for your team members to challenge you during meetings and critique your work productively.

For example, if an engineer tells you that they worked at an event-planning startup in downtown Chicago and gained experience with data science tools like Google Sheets, Tableau Public or RStudio (a popular programming language used in data science), then that's likely what kind of company this is!

Showing initiative and interest

In order to impress your interviewer and show that you are interested in the company, it is important to do some research. You should be able to talk about their biggest clients and mention any recent news or developments.

If you’re applying for senior data engineer jobs  or data engineer, then you should also have an understanding of what these roles entail. You can look at what skills are required on job boards and sites like LinkedIn or Glassdoor to get an idea of what's needed.

To demonstrate your initiative, I would recommend sending a follow-up email after an interview where you thank them for their time, but also reiterate how much interest you have in joining their team. This shows that even if there hasn't been any contact since your initial meeting (which can often happen), there's still active interest from both parties.

What are recruiters looking for? From their perspective

As a candidate, you're probably wondering what recruiters are looking for when they're vetting candidates. Here's what they think:

• What is the job description? This will tell you if the role is right for you or not—you'll know whether your skills match what the company needs. If there's anything in the job description that sounds like it might be difficult to do, don't worry! Most recruiters will give honest feedback about what skills are needed and how much experience is required. You can also ask them questions during your interview if something isn't clear enough from reading through their process documents alone.
• How do I apply? This can vary depending on where you want to work/which companies interest you most, but generally speaking there should be some kind of online application form which asks questions about yourself (such as education history), gives some basic information about yourself, including why would want this job) and then asks more detailed questions about specific skillsets.

It's not enough to be a qualified data engineer, you need to know how to get that job in the UK

• It's not enough to be a qualified data engineer, you need to know how to get that job in the UK.
• Show initiative. You may think that you understand how things work and how people will respond based on your experiences abroad, but remember that other people have different ways of working and thinking. So make sure you ask questions when in doubt--it shows curiosity and enthusiasm, both of which are great qualities in any employee.
• Be prepared for anything. In my experience as a former recruiter at DeepMind, I've seen many applicants come unprepared for their interviews (on both sides). For example: one candidate was asked what he would do if someone asked him about processes he didn't know about; he replied: "I'd Google it." This response isn't ideal because it doesn't show confidence or that he even knows how Google works! Be prepared for every situation by researching common interview questions ahead of time--this will help ensure that nothing catches you off guard during an interview or training session.

Conclusion

In conclusion, there are many factors to consider when looking for a data engineering job in the UK. You need to have the right skills and experience and show that you’re interested in the role and eager to learn more about it.

During interviews, you must build up your portfolio with relevant projects and talk about your achievements whenever possible. Finally, remember that nobody gets hired without being prepared, so take some time before applying for jobs so that you feel confident when meeting recruiters face-to-face!

People who want to work with data should work with Data Jobs UK. We can help you find a job that is the perfect fit for you. We also help people learn new skills so they can do their best work.

Browse our Data Jobs blog page to get more useful tips on how to find the perfect data engineering jobs for you. We also give helpful insights for data science jobs, data analyst jobs, data management jobs, data entry jobs, data protection jobs and many more!