Senior Data Engineer, Catawiki
2 days a week in office
Online auctioning for special objects
Be an early applicant
Online auctioning for special objects
501-1000 employees
Be an early applicant
2 days a week in office
501-1000 employees
Company mission
To make special objects more accessible.
Role
Who you are
- Experienced Data Engineer: You have 3+ years of hands-on experience building and operating data systems in production
- Strong in Python, SQL & Data Integration: You’re fluent in Python and SQL and have experience with data integration tools such as Fivetran and/or Airbyte
- Infrastructure & DataOps Minded: You have experience with CI/CD, Infrastructure as Code (e.g. Terraform), and modern DataOps practices
- Cloud & Platform Savvy: You’ve worked with cloud platforms (GCP is a plus) and are familiar with parts of our data stack such as BigQuery, PubSub, DataFlow, GKE, Airflow, Airbyte, FastAPI and Prometheus
- Comfortable with Streaming & Scale: You have experience with streaming pipelines using technologies like Kafka, Pub/Sub, Dataflow, or Apache Beam
- Curious, Collaborative & Privacy-Aware: You’re keen to learn new tools, support data platform and machine learning engineering initiatives, and understand the importance of data privacy and GDPR
- If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles
What the job involves
- Build and Scale Data Pipelines: Maintain and develop reliable batch and streaming pipelines that ingest data from internal systems and third-party sources into Catawiki’s data warehouse
- Empower Data Science and AI: Maintain and enhance the tools and platforms used by Data Scientists for analysis, experimentation, model training, and model deployment
- Protect Data and Privacy: Ensure data is stored securely and that governance, access control, and privacy standards are consistently applied across the data platform
- Run and Evolve the Data Platform: Maintain the infrastructure that hosts our data tools and applications, keeping it scalable, stable, and cost-effective
- Own Core Data Tooling: Self-host and operate key data engineering tools such as Airflow and Airbyte on Kubernetes
- Keep the Lights On: Provide operational support to ensure pipelines, platforms, and tools run smoothly and reliably for teams across the business
Our take
In the past, it was only possible to purchase special items such as rare coins, antiques, and vintage cars at auctions held at physical locations. These days, many people prefer online auctions, but whilst they provide a wider range of objects for sale, this comes at the cost of proper pricing and quality control. Catawiki provides an expert-regulated online auctioning marketplace where users can browse and bid for special objects easily via the web or mobile app.
The objects listed on Catawiki are curated, valued, and verified by in-house experts, with over 100,000 objects passing through the marketplace every week. In this approach, the company has combined the community knowledge found at traditional auctions with the benefits of digital auctioning platforms, occupying a space that has long remained empty, and avoiding competition from bidding marketplace giants such as eBay.
Catawiki has received good funding in the past, which contributed to it becoming the success it is today. A recent venture has seen the company expand to serve artisanal artists with its handmade products auction series.
Freddie
Company Specialist at Welcome to the Jungle
Insights
2% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Dec 2020
$175.1m
GROWTH EQUITY VC
Jul 2015
$87.6m
SERIES C
Total funding: $274.4m
Company HQ
Westelijk Havengebied, Amsterdam, Netherlands
Leadership
Ravi V.
(CEO)Ravi joined Catawiki in 2017 as Chief Demand Officer, becoming CEO in 2018. Prior to this, he was Chief Marketing & Business Officer at HOOQ. He also spent 4 years at Flipkart as VP of Marketing and CEO.
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