Senior Data Engineer
Senior Data Engineer
Founded in 2014, we are a fast\-growing, award winning scaleup with offices around the globe. Our talented team consists of amazing and colorful individuals who can declare, “I love where I work!” and actually mean it. We built the leading connected products platform for companies that depend on selling physical products in an increasingly connected world. We enable active brand protection, supply chain awareness, and direct consumer engagement benefits by securely binding billions of physical products with online identities, and processing millions of scans every day for these products. Our solutions help some of the world’s biggest brands to maintain brand integrity, deliver valuable consumer insights, and unlock growth potential. We are very international with a presence in Lausanne, Shanghai, Amsterdam, Ukraine, Thailand, New Zealand and the US. Find out more at
Scantrust is currently looking for a Senior Data Engineer (based in Amsterdam) with the following scope
Key Responsibilities of our Senior Data Engineer:
- Develop and expand our existing data platform.
- Make architectural design decisions and communicate tradeoffs clearly with senior management.
- Continuously improve and maintain data ingestions \& pipelines from internal and external systems.
- Collaborate with business and analytics teams to design insightful visualizations, define KPIs, and support ad\-hoc analytical needs.
- Work with product and technical teams to gather requirements for data storage and processing architecture that can handle our growing needs.
- Prepare us for the age of agentic AI.
- 5\+ years of data engineering experience, including migration projects
- 3\+ years of SQL experience
- 3\+ years of Python
- 3\+ years of experience with a reporting system (Tableau, Looker, PowerBI, etc)
- Creating and maintaining operations and financial data pipelines
- Managing AWS cloud data services (Glue, DMS, Athena preferred)
- Setting up and managing a cloud data warehouse (Redshift preferred)
- Hands\-on working with Airflow or an equivalent orchestrator in production (Dagster, Prefect)
- Solid understanding of data modelling: dimensional modelling, slowly changing dimensions, and event\-sourced schemas
- Knowledge of best practices and IT operations in an always\-up, always\-available service
- Excellent problem solving and troubleshooting skills
- Process oriented with great documentation skills
- Excellent oral and written communication skills with a keen sense of customer service
- Experience with AI tooling. (experience developing MCP servers or other AI connectors is a big plus)
- A small but fast\-growing international company
- Laid\-back office in the heart of Amsterdam @ the Hacker Building
- Fun International team with a sense of purpose
- We celebrate diversity, care about our work\-life balance and value emotional safety
Job Type: Full\-time
Pay: €4\.500,00 \- €7\.000,00 per month
Experience:
- SQL: 3 years (Preferred)
- Data engineering: 3 years (Preferred)
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