Data Engineer CV Example
Employers hiring a Data Engineer usually screen for these skills first: Python, SQL and ETL and ELT pipelines. This example shows how to present them clearly, with achievements you can adapt and a layout that applicant tracking systems read correctly.
Professional summary example
Data engineer with [X] years building reliable pipelines and warehouses on [platform] with Python, SQL and dbt.
Skills employers search for
- Python
- SQL
- ETL and ELT pipelines
- Data modelling
- Spark
- Data warehousing
- Orchestration (Airflow)
- Cloud data platforms
Tools and systems
- Databricks
- Snowflake
- Airflow
- dbt
- Azure Data Factory
- BigQuery
Personal strengths
- Problem solving
- Clear written communication
- Collaboration
- Ownership
Example achievements
Replace each [X] with your own numbers.
- Built pipelines processing [X] GB of data a day
- Migrated the warehouse to Snowflake, cutting query costs by [X]%
- Reduced pipeline failures by [X]% with data quality checks
- Modelled [X] tables in dbt for analytics teams
Turn duties into results
Weak
Moved data between systems
Strong
Built [X] production pipelines processing [X] GB a day with [X]% reliability
Action verbs to start your bullet points
- Built
- Migrated
- Optimised
- Automated
- Designed
- Reduced
- Scaled
- Monitored
Qualifications and certifications to list
- Databricks Data Engineer Associate
- Microsoft DP-203
- Google Professional Data Engineer
Typical education: Degree in Computing or a quantitative field
Common mistakes on a Data Engineer CV
- No data volumes
- Tools listed without architecture
- No data quality work
- Unclear ownership
Build your Data Engineer CV
The builder opens with these skills and example achievements ready to edit. One column, ATS-friendly, PDF or Word.
Open the builderCover letter opening line
I am applying for the Data Engineer role because it matches the work I do best, and I can show results in the areas this job asks for most.
Questions
What skills should a Data Engineer put on a CV?
Lead with the skills named in the job ad. For most Data Engineer roles these include: Python, SQL, ETL and ELT pipelines and Data modelling, each backed by an example in your work history.
Which qualifications help a Data Engineer CV?
Employers often look for Databricks Data Engineer Associate, Microsoft DP-203 or Google Professional Data Engineer. List the ones you hold in a Certifications section with the year you achieved them.
How do I show results as a Data Engineer?
Use the measures employers in this field recognise, such as data pipelines, lakehouse, data quality, and say what changed because of your work. Replace every [X] in the examples with your real figures.