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Data Engineer Jobs Worldwide
2 open roles · remote, seasonal, work exchange & visa-sponsored
About the Data Engineer role
Data Engineers build and maintain the pipelines that move and transform data so analysts and ML systems can rely on it — the unglamorous but essential plumbing behind data-driven decisions.
Skills you'll need
SQL (advanced)Python or ScalaETL/ELT pipeline tools (Airflow, dbt, Spark)Data warehousing (Snowflake, BigQuery, Redshift)Data modelingOrchestration and schedulingCloud data platforms
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Typical credentials
- •CS, data science, or engineering background common but not required
- •2+ years building production pipelines
- •Demonstrated experience with at least one modern data warehouse
Resume tips for Data Engineer applications
- •Quantify pipeline scale and reliability (data volume processed, pipeline uptime, latency reduced)
- •Name specific tools rather than "data engineering experience"
- •Show you've handled schema changes and data quality issues, not just happy-path pipelines
Sample resume for Data Engineer
A starting point to learn from, not a template to copy word for word — the Resume Enhancer below can tailor one to your own background.
ELENA VOSS
elena.voss@email.com · Remote (CET) · linkedin.com/in/elenavoss
SUMMARY
Data Engineer with 5 years building and maintaining production data pipelines, from ingestion through warehousing. Comfortable owning a pipeline's reliability end-to-end, not just its initial build.
EXPERIENCE
Data Engineer, Northfork Analytics — Remote | 2021–Present
• Own 30+ Airflow DAGs processing 2TB/day into Snowflake, maintaining 99.5% on-time delivery
• Rebuilt the event-ingestion pipeline to handle schema drift automatically, eliminating a recurring class of pipeline failures
• Cut warehouse compute costs by 28% through query optimization and incremental modeling with dbt
Data Engineer, Ashgrove Retail — Amsterdam, Netherlands (Hybrid) | 2019–2021
• Built the company's first centralized data warehouse (BigQuery), consolidating 6 previously siloed data sources
• Implemented data quality checks that caught and prevented 3 major reporting errors before they reached leadership dashboards
• Mentored 2 analysts in SQL and basic pipeline maintenance
SKILLS
Python, SQL, Airflow, dbt, Snowflake, BigQuery, Spark, data modeling, data quality testing
EDUCATION
B.S. Computer Science, TU Delft | 2019
Build your own with the Resume Enhancer →Cover letter tips
- •Reference the type of data problem the company likely has based on their product (e.g., high-volume event data, financial data integrity) and speak to relevant experience
Sample cover letter for Data Engineer
Same idea — a structure to learn from, not to send as-is.
Dear Hiring Manager,
I'm applying for the Data Engineer role because your job post's focus on pipeline reliability — not just building pipelines but keeping them healthy — is exactly what I've spent the last few years doing.
At Northfork Analytics, I own 30+ Airflow DAGs processing 2TB a day into Snowflake at 99.5% on-time delivery, and I rebuilt our event-ingestion pipeline to handle schema drift automatically after one too many 2am pages. Before that, at Ashgrove Retail, I built the company's first centralized data warehouse from six siloed sources, which is still the foundation their reporting runs on.
I care as much about data quality checks and monitoring as I do about the initial pipeline build, since that's usually where the real failures happen. I'd welcome the chance to discuss your current data stack.
Sincerely,
Elena Voss
Generate your own with the Cover Letter Generator →Common interview questions for Data Engineer roles
- •Walk me through how you'd design a pipeline to handle a new, messy data source.
- •Tell me about a time a pipeline failure caused a real problem downstream. What did you learn?
- •How do you think about data quality checks — where do you put them and why?
- •Describe how you'd approach a schema change on a table multiple downstream systems depend on.
- •What's your approach to documenting a pipeline so someone else could maintain it?
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