Your gateway to unique online auctions
Catawiki is a leading online auction platform headquartered in Amsterdam, Netherlands, specializing in unique items such as rare coins, antiques, and vintage cars. With over 100,000 curated objects auctioned weekly, Catawiki combines expert valuation and verification to ensure quality and proper pri...
Catawiki offers competitive salaries, equity options, and a flexible remote work policy. Employees enjoy generous PTO, parental leave, and opportuniti...
Catawiki fosters a culture of expertise and quality, emphasizing the importance of in-house specialists who curate and verify auction items. The compa...
Catawiki • Amsterdam, Netherlands
Catawiki is seeking a Senior Data Engineer to build and maintain a robust data ecosystem that supports their global marketplace. You'll collaborate with Machine Learning Engineers and Backend Engineers, utilizing skills in Python, SQL, and Apache Spark. This role is based in Amsterdam and focuses on ensuring data integrity and scalability.
At Catawiki, every day brings the extraordinary! Whether it’s Daniel Ricciardo’s Formula 1 Car, a Woolly Mammoth’s Skeleton, Lady Gaga's Jumpsuit or Usain Bolt’s running shoe, we encounter exceptional objects every day.
We're a one-of-a-kind marketplace for buying and selling special objects! Each week we offer over 75,000 unique items in auction, carefully curated by our passionate in-house experts.
Having sold over 20 million unique objects to date, we’re on a mission to become the world’s most popular destination for special objects. As a growing, diverse and sustainable scale-up, we proudly live by our core values:
If these values resonate with you, we’d love to explore how you can join us on this exciting journey!
At Catawiki, data sits at the core of our decision-making, powering everything from commercial strategy and analytics to machine learning, AI, and performance marketing. The Data Engineering role exists to ensure this data foundation is robust, scalable, and ready to support a fast-growing global marketplace.
You’ll join a highly collaborative engineering environment, working closely with Machine Learning Engineers, Platform Engineers, and Backend Engineers. The team is responsible for building and evolving the data ecosystem that enables teams across Catawiki to explore, experiment, and innovate with confidence.
The scope of the role is intentionally broad, sitting at the intersection of data engineering, data platform engineering, and machine learning enablement. As Catawiki continues to grow, we’re expanding our data engineering capabilities to help scale the business, support more advanced use cases, and keep data a true competitive advantage.
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.
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.
The role is based in The Netherlands (Amsterdam) or Portugal (Lisbon) with a hybrid arrangement (2 days in the office per week).
Please note that benefits can vary by location. For specific information regarding what’s available in your country, please consult your recruiter.
Our vibrant offices in Amsterdam, Paris and Lisbon are designed to inspire and connect. Most Catawikians are within commuting distance of one of our offices and enjoy the flexibility of a hybrid work model. That said, some roles may be an exception: if the job description states that the position is fully remote or 100% office-based, that arrangement will apply instead.
Apply directly with an English CV and cover letter by submitting your information at the bottom of this page. By submitting your application you agree to Catawiki’s Applicant Privacy Policy.
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.
Apply now or save it for later. Get alerts for similar jobs at Catawiki.
