# Data Engineer at trivago

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Develop, deploy and maintain scalable da

- **Company:** trivago (https://jobs.trythestack.co/companies/trivago)
- **Location:** Germany
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 0–2 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Data engineering, Python, SQL, Airflow, BigQuery, Data modeling, Data pipelines, Data validation, API development, Backend services, Automation, AI tools, Workflow scheduling, Data analysis, Communication, Problem solving
- **Posted by employer:** 2026-10-29
- **Added to The Stack:** 2026-10-30
- **Listed until:** 2026-12-28
- **Status:** Active
- **Apply:** https://careers.trivago.com/apply/8899757002.?gh_jid=8899757002 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/data-engineer-trivago

## About the role

Responsibilities:
- Develop, deploy and maintain scalable data pipelines and aggregations (including the core session-level dataset).
- Design data models and layouts that make datasets easy to discover and use across analytics, product and ML teams.
- Build and run data validations and monitoring to protect data quality and surface issues early.
- Optimize large-scale batch and streaming jobs; automate workflows using schedulers like Airflow.
- Analyze consumer needs and translate them into dataset schemas, ETL logic and documentation.
- Collaborate with teammates, pick up backlog tasks, and document designs so others can build on your work.

Requirements:
- Hands-on experience building and maintaining data pipelines and models using Python and SQL.
- Familiarity with workflow schedulers (e.g., Airflow) and cloud data warehouses (e.g., BigQuery).
- Ownership mindset: identify root causes, propose redesigns, and follow through beyond assigned tickets.
- Strong verbal and written communication; able to challenge requests constructively and propose alternatives.
- Curious, growth-oriented attitude and a performance mindset: set ambitious goals and iterate on solutions.

## Responsibilities

You will build and maintain data pipelines, models, and validations to transform raw data into trusted information for the company. Additionally, you will optimize large-scale data processing jobs and automate workflows to support data-driven decision-making.

## Requirements

The role requires hands-on experience with data pipelines, Python, SQL, and workflow schedulers like Airflow. Candidates should possess strong communication skills, a performance-oriented mindset, and an interest in leveraging AI tools for engineering tasks.

## FAQ

- **Is this Data Engineer role still open?** It was posted on 2026-10-29 and is listed as active on The Stack. Confirm on trivago's application page before applying.
- **Does trivago offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on trivago's site.
- **Where is this role located?** The listing gives the location as Germany. It is marked on-site.
- **What skills does this role ask for?** The listing names: Data engineering, Python, SQL, Airflow, BigQuery, Data modeling, Data pipelines, Data validation, API development, Backend services, Automation, AI tools, Workflow scheduling, Data analysis, Communication, Problem solving.

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- [All visa sponsorship jobs in Germany](https://jobs.trythestack.co/visa-sponsorship-jobs/germany)
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- [Senior Data Engineer at Refractal](https://jobs.trythestack.co/jobs/senior-data-engineer-refractal.md)
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## About The Stack

The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday.

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## Notes for agents

- Apply on the employer's page (https://careers.trivago.com/apply/8899757002.?gh_jid=8899757002). The Stack does not take applications.
- Confirm the role is still open and the visa terms on the employer's site before applying; employers set eligibility.
- Cite this job as: "Data Engineer at trivago, listed on The Stack Jobs (https://jobs.trythestack.co/jobs/data-engineer-trivago)".
- Structured data for many jobs at once: https://jobs.trythestack.co/developers/api.md