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Rituals

1 year ago

Staff Engineer - Data Products

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Company information

Company
Rituals
Location
Nederland, Noord-Holland, Amsterdam Netherlands
Posted
1 year ago
View all jobs at Rituals

Job description

Job Description

As a Staff Engineer within the Data Product teams, you will play a pivotal role in shaping and scaling Rituals’ data product strategy and delivery practices. Your core mission is to reduce cognitive load for developers, eliminate human error through automation, and improve engineering efficiency by building blueprints, frameworks, and accelerators that enable high-quality, reusable, and governed data products across domains.

This role is at the heart of Rituals’ evolution toward a modular, platform-oriented data ecosystem — ensuring that every data product is built with clarity, consistency, and long-term value in mind.

You will work alongside two other Staff Engineers in Data Products, and closely with peers in Analytics Engineering and Platform Engineering to align standards, promote reuse, and accelerate delivery at scale.


Key Responsibilities

  • Define and maintain architectural blueprints for reusable, governed, and contract-based data products.
  • Develop accelerators and frameworks (e.g. code scaffolds, testing templates, CI/CD components) that abstract complexity and drive consistency across product teams.
  • Partner with engineering leads to embed platform thinking into data product delivery, reducing duplication and cognitive overload for developers.
  • Drive quality through standardization of interfaces, schema patterns, lineage, and contract-first development.
  • Collaborate with product owners and domain leads to ensure product designs balance flexibility with standardization and scale.
  • Promote automation across the delivery lifecycle — including testing, monitoring, documentation, and deployment.
  • Mentor engineers within data product teams, fostering a culture of craftsmanship, autonomy, and accountability.
  • Work closely with Staff Engineers in analytics and platform to ensure end-to-end cohesion of the data ecosystem.

Required skills

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