Qogita
Data Engineer
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Job Description: Data Engineer
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.
- 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.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Requirements
- 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.
Compensation and Benefits
- Base salary: €60,000 – €75,000 (Amsterdam) / £72,000 – £90,000 (London)
- 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
Get help with your application
Your very own career expert that helps elevate your application to the next level.
About Us
Qogita [Ko-gi-ta] is revolutionizing wholesale procurement. We provide a one-stop shop for branded products, available in a single click at competitive prices. Our vision is to build the world's leading global wholesale trading hub, empowering efficient distribution of goods. We didn't just improve wholesale - we reinvented it.
We're one of the fastest-growing B2B companies globally, backed by top investors behind companies like Facebook, Etsy, and Shopify.
Our tight-knit, highly motivated team thrives on curiosity and impact. Everyone contributes hands-on, takes initiative, and drives results. We value a strong work ethic, smart prioritization, and a relentless focus on excellence.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location