Smallpdf
Digital Document Solutions
DataPlatformEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Platform Engineer at Smallpdf. Skills: Data Platform Engineering, Redshift, Kubernetes, Python, SQL. Maintain healthy operations of Redshift and Kubernetes (EKS) clusters. Oversee the ingestion of terabytes of near-real-time events”
What You'll Achieve.
Deliver high-quality data into our dbt transformation layer; Own the systems that expose data back to the business; Ensure reliability, scalability, and self-serve access for internal teams; Enable data science, ML, and experimentation at scale; Bring data products closer to customers; Automate business-critical processes
Industry & Context.
Systematic problem solver
What They're Looking For.
Must Have
Experience in Redshift, Experience in Kubernetes, Experience in Python, Experience in SQL, Confident operating and owning critical applications and infrastructure
Nice to Have
Experience with systems of similar scale and complexity
What You'll Do.
Maintain healthy operations of Redshift and Kubernetes (EKS) clusters
Oversee the ingestion of terabytes of near-real-time events
Own the ingestion and infrastructure components that power data applications
Improve developer experience in and around dbt
Enhance monitoring and observability of data pipelines and data at rest
Shape the next generation of the data platform
Extend reverse ETL capabilities
Own and operate hybrid data backend pipelines
Partner with analysts and data scientists to ensure reliable
How You'll Work.
Team & Collaboration
Collaborate with technical and non-technical colleagues; Work closely with experienced data professionals and data-driven stakeholders; Partner with analysts and data scientists
Communication Scope
Communicator who enjoys collaborating
Full Job Description
ABOUT SMALLPDF Smallpdf and PDFtools are industry leaders in digital document solutions, helping millions worldwide streamline their workflow with powerful, easy-to-use tools. We are on a mission to simplify document management and enhance productivity. As a team of over >110 people from 34 nationalities in our offices in Zurich, Belgrade, and Barcelona, we’re proud to have made PDFs and life a little bit easier for over a billion customers across our web, mobile, and desktop applications. Our reputation for Swiss engineering standards has made us a trusted choice for industry leaders like Lufthansa, UBS, Swiss Life, and millions of people worldwide. YOUR MISSION We are seeking an expert Data Platform Engineer to work on the foundational components of our data stack. Our platform processes over 100M events per day and powers a large Redshift warehouse that supports everything from company-wide reporting to document analytics and AB testing. In this role, you’ll build and maintain reliable ingestion pipelines, ensure our Redshift warehouse performs consistently at scale, deliver high-quality data into our dbt transformation layer, and own the systems that expose data back to the business. You will work closely with experienced data professionals and data-driven stakeholders to gather complex data and turn it into actionable insights. The ideal candidate is a highly capable engineer with strong experience in Redshift, Kubernetes, Python, and SQL, and who is confident operating and owning critical applications and infrastructure. Experience with systems of similar scale and complexity is a strong plus. WHAT YOU WILL BE WORKING ON - Maintain healthy operations of our Redshift and Kubernetes (EKS) clusters, which sit at the foundation of our data delivery. - Oversee the ingestion of terabytes of near-real-time events from our products, backend, and third-party systems - the backbone of our reporting, AB testing, and operational monitoring. - Collaborate with technical an
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