Senior Data Engineer at Check.

May no longer be active — verify on the employer site

At a glance

Company
Check.
Location
Amsterdam, NL, Netherlands
Work arrangement
On-site
Employment type
Full-time
Experience
5–10 years
Working hours
40 hours
Salary (as listed)
EUR 72,000–88,000 per year
Visa sponsorship
Offered, according to the listing
Posted
Added to The Stack

✨ The Stack take on this Check. job

  • 🏢 This is Check.'s only job here right now
  • 🛂 Visa: Highly Skilled Migrant permit. 30 or older: €5,942 a month guide

Updated 2026-11-05, from our data and official sources.

Apply for this role at Check.

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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.

Key skills

  • Python — in 1200 other listings on The Stack
  • SQL — in 545 other listings on The Stack
  • Data Modelling — in 24 other listings on The Stack
  • Dbt — in 102 other listings on The Stack
  • Airflow — in 95 other listings on The Stack
  • Clickhouse — in 48 other listings on The Stack
  • Terraform — in 470 other listings on The Stack
  • Kubernetes — in 585 other listings on The Stack
  • Kafka
  • Docker
  • Helm
  • CI/CD
  • Git
  • PostgreSQL
  • Rust
  • Data Pipeline Engineering

On The Stack (as of 2026-11-05)

Frequently asked questions about Check.

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.

All roles at Check.

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