Jobs in the Netherlands, in English.

Data Engineer

Hybrid in Amsterdam - Qogita·Added 1 month ago

Still open when we checked on 8 Oct

Qogita

19 open roles

Apply

Overview

Job details

€60,000 - €75,000 a year
Gross, as stated in the ad.
Permanent contract
Per the ad.
Hybrid
Office and home days — the ad has the split.

Requirements

Be near Amsterdam - Qogita for hybrid days
No relocation package mentioned.

Skills

Pay & benefits

What you'll get

Base salary: €60,000 – €75,000
26 days of annual leave, plus 4 additional personal days
Company performance-based bonus
Attractive equity package
Pension contributions
Annual learning & development budget
Office-led culture with hybrid flexibility
Dog-friendly offices
Home-office setup package
Office socials and annual company-wide offsite

The role

You're a data engineer who builds and maintains reliable pipelines that turn raw commercial and operational data into trusted, queryable datasets. You bring hands-on experience with modern ELT tooling and a track record of shipping pipelines that hold up under production load. This role exists to make sure every team at Qogita can trust the data they build on.

The Data Engineering team owns the ingestion, transformation, and delivery of data across Qogita's platform, working closely with Analytics, Product, Science, and Engineering to keep the data warehouse accurate and available.

What you'll do

3+ years of experience building production data pipelines with a modern ELT stack.
Hands-on experience with dbt for data modeling and transformation.
Working knowledge of SQL and Python, applied to pipeline development and data validation.
Experience with a cloud data warehouse such as Snowflake, BigQuery, or Redshift.
Familiarity with orchestration tools such as Airflow or Dagster.
Able to work independently with minimal guidance and identify data quality issues before they affect downstream teams.
Comfortable operating in a fast-moving scale-up environment with evolving priorities.

What you'll do

Build and maintain ELT pipelines that move data from Qogita's production systems into the data warehouse.
Manage the modeling layer in dbt, ensuring transformations are tested, documented, and performant at scale.
Deliver new datasets and metrics in partnership with Analytics and Product to support cross-functional reporting needs.
Own the monitoring and alerting for pipeline failures and data quality issues, resolving incidents before they reach downstream consumers.
Analyse query performance and warehouse costs, and improve schema design and partitioning strategy accordingly.
Develop internal tooling and documentation that make the data platform easier for other engineers to use.
Work as part of the platform team, partnering with other platform engineers to keep the data infrastructure reliable and well-integrated with the broader systems other teams build on.

About Qogita

Website: qogita.com

In their own words

About the company & team

Qogita [Ko-gi-ta] is on a mission to make global trade radically efficient by building the operating system for modern wholesale.

Wholesale is a €50 trillion market still largely run through phone calls, catalogues and trade shows. Behind every product sits a fragmented chain of sourcing, trading and logistics that makes wholesale slower, more complex and expensive than it should be.

Qogita is changing this by connecting the global market into a single order book, building the rails to move products across borders efficiently, and providing the intelligence to help businesses know what to stock, what it’s worth and where it should go.

We operate across health and beauty in 30+ European markets, with ambitions to reach every category, everywhere. Backed by Accel, Bessemer, Dawn and LocalGlobe, we’re one of Europe’s fastest-growing B2B companies.

We’re an ambitious, pragmatic and highly collaborative team, united by a desire to reshape one of the world’s biggest markets.

All open roles at Qogita