Software Engineer - Data Engineering | Relocation Offered
Relocate.meNetherlands2 days ago
Full-timeRemote FriendlyEngineering, Information Technology
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Software Engineer - Data Engineering
Amsterdam, Netherlands
Catawiki
Advanced relocation package
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Money for moving expenses
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About Catawiki
Catawiki was founded in 2008. It was originally designed as a website where collectors could manage and keep track of their collections online. Visitors can still add new items to the existing catalogue of collectibles. Unsurprisingly, the name Catawiki is a combination of the words âcatalogueâ and âwikiâ. In 2011, Catawiki began hosting weekly auctions in various categories, including art, antiques, classic cars, watches, jewellery, fashion, books, and stamps.
Position
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.
Youâll 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, weâre expanding our data engineering capabilities to help scale the business, support more advanced use cases, and keep data a true competitive advantage.
What Youâll Do
Build and Scale Data Pipelines: Maintain and develop reliable batch and streaming pipelines that ingest data from internal systems and third-party sources into Catawikiâs 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.
Your qualification
Experienced Data Engineer: You have 3+ years of hands-on experience building and operating data systems in production.
Strong in Python, SQL & Data Integration: Youâre 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: Youâve 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: Youâre keen to learn new tools, support data platform and machine learning engineering initiatives, and understand the importance of data privacy and GDPR.
What we offer
Where Youâll Be
The role is based in the Netherlands (Amsterdam) with a hybrid arrangement (at least 2 days in the office per week).
Our Offices and Way of Working
Our vibrant offices in Amsterdam, Paris and Lisbon are designed to inspire collaboration. Most Catawikians operate in a hybrid setup, combining office-based and remote work, with a minimum of two days per week in the office, unless a role is explicitly stated as fully remote or fully office-based.
Engineer Python Developer Software Programmer SQL Data Engineer Kafka Terraform GCP BigQuery Catawiki Dataflow Data Engineering CI/CD Fivetran
Amsterdam, Netherlands
Catawiki
Advanced relocation package
Adaptation tips
Flight ticket
Money for moving expenses
Housing search assistance
Visa services
đ© Get the premium jobs newsletter
~100 relocation-friendly tech jobs every Thursday ($15/mo)
Get
About Catawiki
Catawiki was founded in 2008. It was originally designed as a website where collectors could manage and keep track of their collections online. Visitors can still add new items to the existing catalogue of collectibles. Unsurprisingly, the name Catawiki is a combination of the words âcatalogueâ and âwikiâ. In 2011, Catawiki began hosting weekly auctions in various categories, including art, antiques, classic cars, watches, jewellery, fashion, books, and stamps.
Position
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.
Youâll 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, weâre expanding our data engineering capabilities to help scale the business, support more advanced use cases, and keep data a true competitive advantage.
What Youâll Do
Build and Scale Data Pipelines: Maintain and develop reliable batch and streaming pipelines that ingest data from internal systems and third-party sources into Catawikiâs 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.
Your qualification
Experienced Data Engineer: You have 3+ years of hands-on experience building and operating data systems in production.
Strong in Python, SQL & Data Integration: Youâre 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: Youâve 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: Youâre keen to learn new tools, support data platform and machine learning engineering initiatives, and understand the importance of data privacy and GDPR.
What we offer
- Create a visible impact by working at scale in a global organisation serving millions of customers across 80+ categories. In our flat structure, every role has a broad scope and directly impacts both our customers and the business.
- Learn and grow through our Learning & Development initiatives, including clear development plans and mentorship programmes to support your career progression.
- A culture of connection defines us. Weâre a passionate, diverse team of 800+ Catawikians representing 60+ nationalities. We foster an inclusive and queer-friendly environment where everyone is encouraged to bring their full self to work.
- Celebrate lifeâs moments with us. Youâll receive a âŹ100 Catavoucher when you join, a âŹ50 Catavoucher on your birthday, and an extra day off each year to âPursue Your Passionâ. We also offer additional leave for key work anniversaries and important life events. Benefits may vary by location.
Where Youâll Be
The role is based in the Netherlands (Amsterdam) with a hybrid arrangement (at least 2 days in the office per week).
Our Offices and Way of Working
Our vibrant offices in Amsterdam, Paris and Lisbon are designed to inspire collaboration. Most Catawikians operate in a hybrid setup, combining office-based and remote work, with a minimum of two days per week in the office, unless a role is explicitly stated as fully remote or fully office-based.
Engineer Python Developer Software Programmer SQL Data Engineer Kafka Terraform GCP BigQuery Catawiki Dataflow Data Engineering CI/CD Fivetran
Key Skills
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