Data Engineer Amsterdam • Orange Quarter
Gevraagd
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37 - 40 uur
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Medior/Senior
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Engels (taal)
Aanbod
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Vast contract
Vacature in het kort
Over het bedrijf
Volledige vacaturetekst
We’re working with the founders of a new start-up who have an outstanding track record of success in the payments industry. With their deep expertise and history of building transformative technology, they are now assembling a talented tech team to revolutionize operations for independent businesses.
The company is creating an all-in-one platform for businesses like restaurants and cafes, helping them save costs and streamline operations.
The platform combines advanced POS tools (order tracking, payment integration, kitchen displays, and reservation systems) with powerful financial features like double-entry bookkeeping to ensure precise revenue tracking. This year, they’re introducing an AI-powered Financial Assistant to help businesses make data-driven decisions, such as optimizing staffing costs based on reservations and customer flow.
The team values entrepreneurial, solution-driven data engineers who thrive in a flexible, hands-on environment. They foster collaboration across the platform and avoid working in silos, encouraging team members to take ownership of their work. To succeed, you’ll need to be comfortable working independently, proactive in identifying challenges, and skilled at designing effective solutions.
You’ll work with cutting-edge technologies like GCP, Airflow, Snowflake, BigQuery, and DBT, building scalable data pipelines and driving insights that power the AI-powered Financial Assistant. The role involves data modeling, transformation, and cleansing, enabling the business to provide actionable recommendations to customers—like optimizing staffing costs or enhancing reservation predictions.
Proficiency in data engineering tools and concepts is essential, including experience with SQL and NoSQL databases, data warehousing, version control (Git), and machine learning or AI concepts. If you have expertise in creating robust, scalable data solutions and want to contribute to a transformative platform, this is the role for you!
- Competitive Salary
- ESOPs in a business with huge potential
- The chance to work closely with succesfull entrepreneurs who have been there and done it in the payments industry
- Over 5 years experience as a Data Engineer
- Experience with Public Cloud preferably Google Cloud
- Understanding of Data Warehousing and Data Modeling Concepts
- Experience with Data Ingestion and Transformation
- Familiarity of AI and ML Concepts
- Experience with JVM languages a huge plus
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