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  • Senior Data Engineer

Senior Data Engineer

Lisbon, Portugal

Catawiki

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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 ‘catalogue’ and ‘wiki’. 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.

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.

 

What You’ll 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 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.

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: 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.

What we offer

  • Create a Visible Impact by working at scale in a global organisation that serves millions of customers across 80+ categories. In our flat structure, every role has a broad scope that directly impacts both our customers and the business.
  • Learn and Grow with Us through our Learning & Development initiatives, which include clear development plans and mentorship programmes designed to support your career progression.
  • A Culture of Connection defines us. We’re a passionate, diverse and collaborative team of 800+ Catawikains and 60+ nationalities, all coming together to build a one-of-a-kind marketplace. We foster an inclusive and queer-friendly work environment, committed to making every Catawikian feel welcomed and empowered. Whatever your story, we encourage you to bring your unique perspective to our team. 
  • Celebrate Life’s Moments with us at Catawiki. When you join us, you’ll receive a €100 Catavoucher, and on each birthday, you'll get a €50 Catavoucher to celebrate. Enjoy an extra day off each year to "Pursue Your Passion". We also recognise significant work anniversaries (3, 5, 8, 10 years) with additional time off, plus extra leave for life’s big moments like marriage, engagements, or moving house.

Please note that benefits can vary by location. For specific information regarding what’s available in your country, please consult your recruiter.

Additional details

Where You’ll Be 

The role is based in Portugal (Lisbon) 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 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. 


Engineer Python Developer Programmer SQL Data Data Engineer Kafka Terraform GCP BigQuery Code Catawiki CI/CD Fivetran
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Facts about Lisbon
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