IT and data

Data engineer CV: example and template

This example is for data engineers at product companies, banks, online retail and consultancies, and for developers, database administrators and analysts who want to build data pipelines.

The employer wants to know which pipelines you build, in which tools and cloud, how you look after quality and costs and who you deliver data to. We show you how to describe this on your CV.

Example CV: data engineer

All the details in this example are fictional. Treat it as a model of layout and wording, and replace the content with your own experience.

Mateusz Kurowski

Data engineer

Krakow +48 123 456 789 mateusz.kurowski@example.com

Professional profile

Data engineer with 6 years of experience, the last 3 at a product company with an appointment booking platform. I build data pipelines in Airflow and Spark, models in dbt and a cloud warehouse for analyst and data science teams. Yesterday's data is ready at 6 am instead of noon, and processing cost fell by 35%.

Work experience

Data engineer

02.2022 - present

Product company, appointment booking platform, Krakow

  • Data pipelines in Airflow and Spark from 25 sources.
  • A cloud data warehouse and dbt models for 4 teams.
  • Yesterday's data ready at 6 am instead of noon.
  • Data quality tests and alerts, 80% fewer reports of wrong data.
  • Processing cost down 35% after changing schedules and partitioning.

Database developer

07.2019 - 01.2022

Consultancy, Krakow

  • Data loading processes for clients.
  • Reports in SQL.
  • Query optimisation.

Education

Master's degree, computer science

2014 - 2019

AGH University of Krakow

Skills

  • Python and SQL
  • Airflow and Spark
  • dbt and data modelling
  • Cloud data warehouses
  • Data quality and testing
  • Processing cost and performance

Certificates

  • Cloud data engineer certificate, 2023
  • dbt course, 2022
  • Spark course, 2021

Languages

  • English: C1

Additional information

  • Remote or hybrid work

I hereby consent to the processing of my personal data for the purposes necessary to carry out the recruitment process, in accordance with Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 (GDPR).

How to write a data engineer CV

Professional summary

Write which pipelines you build, from how many sources, in which tools and for whom. Add a result, for example data available sooner or lower costs. The employer is looking for someone who will deliver reliable data on time and not burn through the cloud budget.

Database developer with 3 years of experience at a consultancy. I build data loading processes for clients, SQL reports and optimise queries. I am looking for work as a data engineer.

Experience: duties and achievements

Describe the sources, pipelines, tools, warehouse, quality, costs and data consumers. Show results in numbers. Add automation and monitoring. Also say how you work with analysts, because they most often use your work.

Weaker: Data pipelines.

Better: Data pipelines in Airflow and Spark from 25 sources.

Weaker: Availability.

Better: Yesterday's data ready at 6 am instead of noon.

Weaker: Costs.

Better: Processing cost down 35% after changing schedules and partitioning.

Skills worth listing

List languages, pipeline tools, processing, modelling, the cloud and data quality. In your soft skills show accuracy, systems thinking and work with analysts. If you know several clouds, say which you have the most experience with.

Professional skills

  • Python and SQL
  • Airflow
  • Spark
  • dbt
  • Cloud warehouses
  • Data quality

Personal skills

  • Accuracy
  • Systems thinking
  • Work with analysts
  • Independence
  • Communication

Certificates

List cloud certificates and data tool courses. A link to a repository with a sample pipeline also helps.

How to become a data engineer

Most people move from database development, administration or data analysis. On your CV show the data loading processes you already build.

Add your own project with a cloud data pipeline. Employers want to see that you know the tools in practice.

Tailoring your CV to the job offer

A product company looks for timely data and event analytics, a bank for security and data quality, and a consultancy for work with many clients and sources. Move to the top what the job ad is about.

The most common mistakes on a data engineer CV

Questions and answers

What should a data engineer put on a CV?

Sources, pipelines, tools, the warehouse, data quality, costs, consumers, results and certificates.

How does a data engineer differ from a data scientist?

A data engineer builds pipelines and warehouses, and a data scientist uses the data to build models.

Which results are worth giving?

Data availability time, processing costs, the number of sources and fewer data errors.

Is a cloud certificate needed?

Not always, but it helps, because most warehouses now run in the cloud.

Create a data engineer CV in the builder

In the CV Majster builder you enter your details step by step and see right away what the document looks like. You can copy the wording from this page and adapt it to yourself. The finished CV as a PDF costs a one-off PLN 5, with no subscription, and you see the preview before you pay.

Go to the CV builder

See also

All resume examples by job