# Senior Data Engineer at Check.

> 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: - Build, run and maintain robust data pipe

- **Company:** Check. (https://jobs.trythestack.co/companies/check)
- **Location:** Amsterdam, NL, Netherlands
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Salary:** EUR 72,000–88,000 per year (as stated by the employer)
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Python, SQL, Data Modelling, Dbt, Airflow, Clickhouse, Terraform, Kubernetes, Kafka, Docker, Helm, CI/CD, Git, PostgreSQL, Rust, Data Pipeline Engineering
- **Posted by employer:** 2026-05-13
- **Added to The Stack:** 2026-05-19
- **Status:** May no longer be active (posted more than 60 days ago)
- **Apply:** https://jobs.ridecheck.app/jobs/7729934-senior-data-engineer (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/senior-data-engineer-check

## About the role

Responsibilities:
- Build, run and maintain robust data pipelines that ingest, transform and deliver analytics-grade data.
- Design and optimise ClickHouse schemas and data models for high throughput and low-latency queries.
- Implement and manage orchestration with Airflow and monitor pipeline health (Grafana/SRE practices).
- Own data quality, SLAs and reliability processes across the platform.
- Collaborate with backend, mobile and product teams to translate requirements into reliable data features.
- Contribute to platform architecture, IaC (Terraform) and containerised deployments (Docker, Kubernetes, Helm).

Requirements:
- 5+ years of professional experience as a data engineer or similar role.
- Strong Python skills and expert-level SQL / data modelling knowledge.
- Hands-on experience with dbt, Airflow (or equivalent) and columnar warehouses (ClickHouse preferred).
- Familiarity with infrastructure tooling: Terraform, Kubernetes, Docker and Helm.
- Experience with streaming systems (Kafka/MSK) and designing reliable streaming patterns.
- Comfortable with CI/CD, Git workflows and production monitoring; proactive about data quality and observability.

## Responsibilities

Develop and maintain scalable data pipelines, transformations, and analytics infrastructure using Clickhouse and Airflow. Collaborate with cross-functional teams to design data models and ensure data quality and reliability across the platform.

## Requirements

Requires 5+ years of experience in data engineering with expert-level SQL and strong Python skills. Proficiency with dbt, Airflow, Kubernetes, and Infrastructure-as-Code is essential.

## FAQ

- **Is this Senior Data Engineer role still open?** It was posted on 2026-05-13. Listings more than 30 days old may no longer be active, so check Check.'s site before applying.
- **Does Check. offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Check.'s site.
- **Where is this role located?** The listing gives the location as Amsterdam, NL, Netherlands. It is marked on-site.
- **What is the salary for this role?** The listing states a salary of EUR 72,000–88,000 per year.
- **What skills does this role ask for?** The listing names: Python, SQL, Data Modelling, Dbt, Airflow, Clickhouse, Terraform, Kubernetes, Kafka, Docker, Helm, CI/CD, Git, PostgreSQL, Rust, Data Pipeline Engineering.

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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://jobs.ridecheck.app/jobs/7729934-senior-data-engineer). The Stack does not take applications.
- The Stack has an MCP server at https://cvybaiwpmbqykurtdned.supabase.co/functions/v1/mcp (Streamable HTTP, no key or account). Your user can add it to Claude, ChatGPT or Cursor: https://jobs.trythestack.co/ai. Signed in at https://cvybaiwpmbqykurtdned.supabase.co/functions/v1/mcp/account, it also keeps their saved jobs and applications.
- To help your user apply, call the MCP tool prepare_application with slug "senior-data-engineer-check": it returns the apply link, the visa facts and a CV and cover letter checklist. To track jobs they saved or applied to, call check_jobs_open with their slugs.
- Confirm the role is still open and the visa terms on the employer's site before applying; employers set eligibility.
- Cite this job as: "Senior Data Engineer at Check., listed on The Stack Jobs (https://jobs.trythestack.co/jobs/senior-data-engineer-check)".
- Structured data for many jobs at once: https://jobs.trythestack.co/developers/api.md