English CV example for data roles

Data engineer CV example that opens directly in the editor

Start from a realistic data engineer CV written for applications in the Netherlands. The example focuses on pipelines, cloud platforms, data quality, and business impact instead of a loose list of tools.

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Maya Vermeer

Data Engineer

Data engineer with 5 years of experience building reliable batch and streaming pipelines for analytics, reporting, and machine learning use cases. Strong in Python, SQL, dbt, Airflow, Spark, Kafka, AWS, and Azure. Known for improving data quality, reducing pipeline failures, and translating business reporting needs into maintainable data models.

Experience

Data Engineer - Harbour Analytics B.V.

  • - Built Airflow and Spark pipelines processing 65 million logistics events per day for warehouse, transport, and customer reporting teams.
  • - Modelled trusted finance and operations datasets in dbt, reducing duplicated dashboard definitions across 4 business units.
  • - Added Great Expectations checks and alerting for critical tables, lowering recurring data quality incidents by 38% within two quarters.

What data hiring teams scan first

A strong data engineer CV should make production ownership obvious. Work in NL advises clear CV structure so employers can quickly understand work experience and education; for data engineering, that means stack, data scale, reliability, and stakeholders must be visible quickly.

Pipeline scope: batch, streaming, orchestration, data warehouse, lakehouse, or platform ownership.
Tool fit: Python, SQL, dbt, Airflow, Spark, Kafka, cloud storage, warehouses, and CI/CD where relevant.
Reliability proof: data quality checks, monitoring, alerting, incident reduction, freshness, lineage, or governance.
Business context: analytics, finance, logistics, product, risk, marketing, operations, or machine learning enablement.
Dutch-market clarity: English/Dutch language level, location preference, and work-authorisation details when they affect hiring.

Copy the structure, not the wording

Example profile summary

Target: data engineer, Netherlands

Data engineer with 5 years of experience building reliable batch and streaming pipelines for analytics, reporting, and machine learning use cases. Strong in Python, SQL, dbt, Airflow, Spark, Kafka, AWS, and Azure. Known for improving data quality, reducing pipeline failures, and translating business reporting needs into maintainable data models.

Experience bullets that show production value

Data Engineer

Harbour Analytics B.V., Rotterdam

Apr 2022 - Present

  • Built Airflow and Spark pipelines processing 65 million logistics events per day for warehouse, transport, and customer reporting teams.
  • Modelled trusted finance and operations datasets in dbt, reducing duplicated dashboard definitions across 4 business units.
  • Added Great Expectations checks and alerting for critical tables, lowering recurring data quality incidents by 38% within two quarters.
  • Partnered with analysts, product managers, and platform engineers to move legacy SQL jobs into version-controlled, observable pipelines.

Skills example

PythonSQLdbtAirflowSparkKafkaAWSAzure Data FactoryData qualityTerraform

Work route and language clarity

Data roles in international teams often accept English CVs, but language level and work-route clarity still matter. If sponsorship affects your application, verify the current IND thresholds before applying.

Mistakes that weaken a data engineer CV

Writing a data engineer CV like a data analyst CV and hiding pipeline ownership.
Listing tools without showing the scale, reliability, or business use case behind them.
Forgetting data quality, monitoring, and governance even though they are central to production data work.
Overloading the skills section with every library instead of the stack that matches the vacancy.
Using Dutch section labels or proficiency values inside an otherwise English CV.

Build from this data engineer example

The button creates a CV with this example already filled in. Replace the fictional details with your own pipelines, stack, data quality work, education, and language level.

FAQ

What should a data engineer CV show first?

Show your target title, core stack, pipeline ownership, data quality work, and business context quickly. Recruiters should understand whether you build production data systems, not only dashboards.

Should a data engineer CV include cloud certifications?

Include recent, relevant certifications when they support the vacancy. Put cloud, Databricks, dbt, or data engineering certificates below skills or education, not above your strongest work experience.

Should I mention Dutch language level?

Yes. English-speaking data roles are common in international teams, but an honest Dutch level such as Basic, Good, or Fluent helps employers understand communication fit.

Sources checked

Last reviewed on June 23, 2026. These sources support the page guidance; the CV itself is fictional and should be adapted before use.