Data Engineer CV Example

A data engineer CV that's well-written, engaging and showcases the most relevant skills and experience gives you the best chance of progressing to the next stage of the recruitment process. Let’s take a closer look at the key parts of a CV and how to develop them for maximum impact.

Standard data engineer CV sections

Your approach to creating your winning data engineer CV will differ depending on your experience, your seniority and the details listed in the job description.

However, regardless of your seniority, a data engineer CV needs to tell a cohesive story of your professional growth. In the following sections, we’ll dive into each part of the CV step-by-step, starting with your header and moving through to your professional achievements.

CV Header

At the top of your data engineer CV, add a header that establishes the design language of the document. Include the necessary contact information: your full name, email address, phone number and location. It's not typically necessary to include your full address. If you have a LinkedIn profile, consider adding a URL to this in your header, to help the reader easily find more information on your career and credentials.

For UK applications, it's not usually advisable to include a personal photo or any other personal details, such as your age, gender, nationality or ethnicity. These can risk introducing bias to the decision-making process and are discouraged under the terms of the Equality Act 2010.

CV Summary or Objective

Underneath your contact information, write a brief CV summary or CV objective to introduce yourself and highlight a few key skills and qualities. This can help the employer to quickly form a first impression on your suitability for the data engineer role. While a CV summary showcases your key skills and achievements in the context of your career to date, a CV objective provides an alternative approach. It focuses instead on your ambitions for the future, making it ideal for junior candidates without much work experience.

Both a CV summary and objective should be concise, with an ideal length of two or three sentences. List your key skills, personal strengths and career achievements or ambitions, taking care to ensure the content reflects the requirements listed in the job description.

A good CV summary would typically focus on a couple of key skills that match the job description, demonstrating how you've used them to good effect in previous roles. It's important to focus on your unique qualities and provide a preview of how they've made an impact in your career to date, which you'll unpack later in the document. Below you'll find an example of a strong data engineer CV summary.

The CV summary above contains various red flags and things to avoid. While the differences are subtle, they can make all the difference. For a summary to make less of an impact, it might include generic or vague information, lack evidence of your impact, or fail to highlight specific personal qualities that make you stand out from other candidates. It may also lack tailoring to the job description or include long, poorly structured sentences.

Professional Experience

A CV's work experience section is usually its most important element. Employers tend to value the work experience section, as it shows evidence of how you've put your relevant skills to good use in your career to date. It's crucial to tailor your work experience section to match the requirements listed in the job description, using keywords and phrases so employers can easily see how well you fit the role and organisation.

This section should contain a list of your most relevant previous jobs in the last 10 or 15 years. Add the job title, the name of the employer, its location and your dates of employment. Include detail in bullet points, outlining the skills you used in the role and the impact they made.

What differentiates an excellent work experience section from an average one is the use of action verbs and quantifiable evidence, showing how your actions led directly to positive results in previous roles. You'll also want to show how you've added relevant skills and increased your impact throughout your career progression. Here's an example of best practice in a data engineer CV work experience section:

Above is an example of what not to do with your data engineer CV. The work experience section could fail to make an impression if it's too generic, focuses on older or irrelevant roles or lacks tailoring to the job description. It's also important to avoid focusing too much on responsibilities that don't tell the reader anything of the value you added to the role.

Education and Qualifications

In your education section you'll want to list your highest and most recent qualifications, particularly if they're a requirement for the role.

To be eligible for data engineer positions, you typically need to have a relevant university degree, and include it in your CV. If you have a Bachelor of Science in Data Engineering or another related degree that qualifies you for the role, you should definitely mention it in your CV, along with any other degrees or qualifications that highlight your most relevant skills, such as sql database schema design or AWS cloud infrastructure design.

Creating the education section of your CV means selecting the most relevant and highest qualifications, and listing them in reverse-chronological order, starting with your most recent achievements and working back from there. Add the name and level of the award, the institution, its location and your dates of study or graduation. If you have space or if you particularly want to emphasise your qualifications, you could add one or two bullet points under each entry, highlighting specialist areas of study, projects you worked on, awards you won or societies you were a member of.

Specialist licences or certifications can also be a valuable addition to your CV's education section. If these are essential for the job and are referenced in the job description, it's a good idea to include them here rather than further down your CV. Include any expiration or renewal dates for certifications, if applicable.

Key Skills

A CV's skills section is the place to show the reader, in an easily accessible format, that you have the necessary skills for the job. Read the job description to understand the most essential skills, and create a list of both hard and soft skills, ensuring you include some of your strongest, most unique characteristics and qualities to set you apart from the competition. In a data engineer CV, only list the most relevant and essential skills you possess, such as problem solving and ETL process automation skills, to make a positive first impression and show you're qualified for the data engineer position.

Hard Skills

Hard skills and technical skills are the specialist skills required for completing the everyday duties of the role, such as the use of certain software or equipment, or specialist industry knowledge. You can develop these skills through study, training, on-the-job or through completing industry certifications. For data engineer roles, key hard skills you've gained, such as sql database schema design, and distributed computing framework expertise, are typically among the most critical for the job. Check the skills specified in the job description, and add four or five key hard skills to your CV that show employers you're capable of completing the key duties of the role.

You'll want to include a list of hard skills that closely matches the skills listed as 'essential' or 'desirable' in the job description, while also reflecting your own strongest technical skills.

Take a look below to see the type of skills that are commonly listed in a data engineer CV hard skills section:

Soft Skills

Your soft skills list should contain a list of your personal strengths that make you suitable for the role, and a good fit for the team and the organisation. In contrast to hard skills, these tend to be transferable and applicable to different roles and levels. The world of work is evolving at a rapid pace, changing the types of hard skills required for many roles, and therefore rendering soft and transferable skills more valuable than ever. Soft skills are also extremely valuable for junior and entry-level roles, where candidates aren't necessarily expected to have a wealth of relevant work experience.

As with your data engineer CV hard skills list, review the job description to learn the key soft skills for the role. Include the best soft skills that you can provide evidence for throughout your CV. Craft a list of up to five key soft and transferable skills that reflect the job description, while also including some of your strongest, most unique skills to stand out from the crowd.

Here are typical soft skills candidates include in a data engineer CV.

Language Skills

Including a section on language skills can be beneficial, if you speak at least one language to a reasonable level of competency, in addition to your mother tongue. This is true even if language skills aren't a requirement for the role, as foreign language abilities often correlate to other valuable soft skills. In this section, include any foreign languages you speak to a standard that could be useful in the world of work, with an indication of your proficiency level.

The methods for indicating your foreign language skills on your CV include assigning a basic descriptive word, such as:

• English: Fluent
• Spanish: Intermediate

You could adopt the Common European Framework of Reference (CEFR), as this provides standardised levels to describe your competence, as follows:

• A1: Beginner
• A2: Elementary
• B1: Intermediate
• B2: Upper intermediate
• C1: Advanced
• C2: Proficiency

Certifications, Training and Licences

Depending on the role and your qualifications, it might be necessary to include a certifications section. If you've been proactive in pursuing professional development opportunities throughout your career, it's worth showcasing them. Not only do they make you more qualified, they also show a proactive and motivated mindset. In addition, the certifications section can be a valuable addition to your data engineer CV if you're applying for a role that cites certain certifications or licences as a necessity in the job description. These might include roles where the use of specialist software or equipment forms part of your everyday duties.

Here is a list of some key certifications and licences that can be particularly useful for data engineer applications:

Additional Sections

In addition to the core sections of your CV, optional sections can be a useful way of proving you've got the necessary data engineer skills. If you're struggling to show all the necessary skills for the job through your work experience or other core sections, optional sections can give your CV the boost it needs to progress you to the interview stage. This could be particularly helpful for entry-level candidates or career changers.

You’ll find more in-depth guidance on structuring your CV in our career resources, designed to help you present your skills as effectively as possible.

Hobbies and Interests

If you participate in hobbies and activities that are related to the role, or use some of the same skill set, you could include them in a hobbies and interests section. Additionally, this section gives you the chance to show employers different facets of your personality and interests beyond work, which can help them to differentiate you from other applicants. However, a hobbies and interests section is only valuable if it helps you to show relevant skills you've been unable to evidence in other parts of your CV. If your hobbies and interests are unrelated to the job, it's best to leave them off your CV.

Awards and Achievements

Compiling your key career achievements into a single list is an effective way of making your CV more readable at a glance. Add any awards you've won or career milestones you've reached, so employers can easily see the impact you've made in your career to date.

Volunteer Roles

Another alternative to showcasing your skills and experience through work experience is by adding a volunteering section. This can give you a valuable showcase of your skills, particularly if you're a junior candidate or career changer without much relevant work experience. For this section, use a similar structure to your work experience section.

List your job title or a description of the role, the organisation name, its location and the dates you occupied the role. Use bullet points to show employers how you put your skills to use, and any positive achievements from your time in the role.

Most effective action verbs for a data engineer CV

Starting each of your work experience bullet points with strong action verbs is a great way to showcase your key skills and qualities, and demonstrate the impact they've had in your career to date. Start each bullet point with a verb linked to the skills required in the job description, to add focus to your work experience section and make it easy for the reader to identify your strengths. You'll also want to back up any action verbs you're using with quantifiable evidence that showcases the value you added for previous employers. Use the past tense for action verbs that describe previous roles, with the present tense for any current responsibilities and achievements.

Full example of data engineer CV

Now we've shown you everything that needs to go into your data engineer CV, we can take a look at how it comes together in its final form in the following example:

If you're not sure what your one-page, finalised CV design might look like, check out our examples.

Guide to making your CV ATS compatible

Many employers now use applicant tracking systems (ATS) to assist with managing the recruitment process. One of the key elements of most ATS apps is the ability to scan CVs and rank them according to their likely match to the job description. By taking on this task, the systems can save hiring managers the time and effort of reviewing every CV in detail. With vacancies regularly receiving hundreds of applications, this can increase the efficiency of the recruitment process.

Because ATS software is becoming more common in the recruitment process, it's important to make some concessions in your CV to give yourself the best chance of progressing beyond the initial screening. With that in mind, here are some tips on preparing your CV for ATS screening:

• Include keywords and phrases from the job description that are easy for ATS apps to identify, and help make you appear a strong fit for the role.
• Use standard CV headings that make your CV easier to navigate, such as 'work experience', 'education' and 'skills'.
• Choose a standard CV layout that avoids the use of any special design elements that might make your CV less compatible with ATS scanning software.
• Select a font that enhances the readability of your CV, including recognised serif and sans serif fonts between sizes 10 and 12 for body text, and 14 and 16 for headings.
• Use bullet points throughout your CV in place of full sentences. This serves a few purposes, reducing the overall length, helping keywords stand out and making it overall more scannable by ATS apps.

It's easy to get overwhelmed by the steps to creating an ATS-compatible data engineer CV, but a few small changes can make a big difference. To smooth the process, use one of our expert-designed, ATS-optimised CV templates to increase your chances of success at this stage of the screening process.

Key takeaways for your data engineer CV

For the best chance of impressing employers, always tailor your CV for every application and include keywords and phrases that reflect the job description. Pick a CV format that matches your experience level, and focus on showing the reader how you've developed relevant skills and put them to good use to add value for previous employers.

Finally, enhancing the look and feel of your CV using one of Jobseeker's HR-approved CV templates can help leave a lasting impression on the reader, and boost your chances of success with your job applications.

References:

1. Barnet Council (UK local government), Recruitment tips: How to write a supporting statement
2. Jobseeker, Hiring Trends