In the competitive field of data engineering, your CV needs to shine. Our guide equips you with the tools and knowledge to build a CV that stands out.
We'll provide expert advice, compelling CV examples, and a user-friendly CV builder that makes crafting a professional data engineer CV effortless.
Your CV is your first opportunity to showcase your data engineering expertise to potential employers.
To make sure your data engineer CV makes a lasting impression, include the following sections:
To craft a data engineer CV that stands out in New Zealand's competitive job market, it’s also a good idea to keep the following strategies in mind:
Bypass the ATS
Applicant Tracking Systems (ATS) are a key part of the hiring process. To ensure your CV gets seen, optimise it for the ATS by mirroring the language of the job description.
Identify the core skills and technologies mentioned – for example, "AWS," "Python," and "data pipelines" – and weave them naturally into your skills section and work experience.
Your software engineer CV should be a reflection of your unique skills and experience. While a chronological CV format is the most typical format, a combination or functional CV format can highlight your strengths if you have career gaps or limited work experience.
Whether you choose to emphasise specific projects, technical skills, or career progression, select a CV format that effectively captures the attention of potential employers.
Your CV header is the first thing recruiters see, so make it count. Present your contact information clearly and professionally, showcasing your meticulous approach to detail.
Be sure to include the following:
Sam Willis
Data Engineer
+640303031200
samwillis05@xtra.co.nz
Sam Willis
Data Wizard
+640303031200
samtheman@xtra.co.nz
Your professional statement is your opportunity to make a strong first impression on employers and expand upon your value as a data engineer. In a few sentences, highlight your key skills, career experience, and accomplishments.
Focus on the results you've achieved and how your expertise has benefited previous employers. For example: “Results-driven data engineer with 3+ years of experience designing, building, and maintaining data pipelines for large-scale data processing.”
Need more tips to help craft an engaging professional statement? Check out our related CV examples:
Highly motivated and detail-oriented University of Auckland graduate with a strong foundation in data engineering principles. Eager to begin a career as a data engineer, bringing proficiency in programming languages, data manipulation tools, and cloud technologies. Seeking an entry-level data engineering role where I can apply my skills and contribute to a dynamic team. Passionate about building scalable and efficient data solutions for clients.
Dynamic Data Engineer with 8 years of experience, adept at transforming complex data into actionable insights that drive strategic decision-making. Expertise includes designing real-time data pipelines, developing automated monitoring systems, and implementing data warehousing solutions that enhance data availability. Proficient in technologies such as SQL, Apache Spark, and Hadoop. A collaborative team player with a proven track record of delivering high-quality data solutions within tight deadlines. Passionate about exploring new technologies and methodologies to improve data engineering practices and drive innovation.
Highly accomplished data engineer with extensive experience in architecting and implementing complex data solutions. Proven ability to lead and mentor data engineering teams, drive innovation, and deliver impactful results. Deep understanding of data warehousing and data governance principles.
Don't just tell potential employers what you've done—show them what you've achieved. Instead of simply listing technologies and responsibilities, highlight your accomplishments and the impact you've made as a data engineer.
Each bullet point in your work history section should tell a story of how you used your skills to solve a problem, improve a process, or deliver valuable results.
For example, instead of:
Try:
Highlighting your achievements and quantifiable results effectively demonstrates your value and helps you stand out to potential employers. Ka pai!
Data Engineer at IBM, Auckland
December 2019 - Present
Data Engineer at Google, Sydney
January 2017 - July 2019
Programmer at ATLM Solutions, Auckland
January 2015 - August 2016
Your skills section is your chance to showcase your diverse technical and analytical abilities as a data engineer.
Don’t forget to include a strong command of technical skills, including computer skills and relevant tools and technologies.
Additionally, don’t forget to include soft skills that enable effective collaboration and communication. Other key data engineer skills include:
The education section of your data engineer CV should highlight your qualifications and commitment to continuous learning in the data engineering field.
List your academic credentials in reverse chronological order, starting with your most recent degree or diploma.
This section is also ideal for showcasing relevant training and certifications:
Bachelor of Science, University of Auckland, Auckland
February 2012 - July 2016
Your data engineer CV should reflect your technical expertise and meticulous approach to data.
Choose a professional or modern CV layout that presents your qualifications in a clear and concise manner, and use a professional font that is easy to read, such as Arial, Calibri, or Helvetica.
Avoid excessive, loud colours or graphics that may distract from the content.
Your CV layout is a reflection of your professionalism and attention to detail–essential qualities for a data engineer.
Profile
Dynamic Data Engineer with 8 years of experience, adept at transforming complex data into actionable insights that drive strategic decision-making. Expertise includes designing real-time data pipelines, developing automated monitoring systems, and implementing data warehousing solutions that enhance data availability. Proficient in technologies such as SQL, Apache Spark, and Hadoop. A collaborative team player with a proven track record of delivering high-quality data solutions within tight deadlines. Passionate about exploring new technologies and methodologies to improve data engineering practices and drive innovation.
Employment history
Data Engineer at IBM, Auckland
December 2019 - Present
Data Engineer at Google, Sydney
January 2017 - July 2019
Programmer at ATLM Solutions, Auckland
January 2015 - August 2016
Skills
Education
Bachelor of Science, University of Auckland, Auckland
February 2012 - July 2016
Excelling as a data engineer in New Zealand requires a unique blend of technical expertise, analytical thinking, and problem-solving skills.
Streamline your application process and try our online CV builder to start crafting a polished, professional CV. Get started today!