Tech Lead: Scalable Data & Analytics Platform

Rituals Cosmetics Enterprise B.V.

Amsterdam

Hybrid

EUR 110,000 - 150,000

Full time

10 days ago
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Benefits offered by this job

Competitive salary package
Bonus opportunity
Pension plan
Travel allowance
Learning & development
Employee discount
Wellbeing support

Job summary

Rituals Cosmetics Enterprise B.V. in Amsterdam is seeking a Tech Lead – Data & Analytical Engineering to strengthen how we build and scale data products within our Tech & Data organisation.

You will be the technical leader for a data engineering team, mentoring engineers, guiding external partners, and partnering with Product Owners to align priorities. The role emphasizes governance, production standards, and enterprise data platform adoption, with 80/20 office/remote work and competitive

Qualifications

  • Experience in data and analytical engineering from end-to-end
  • Ability to define and drive scalable data architectures
  • Excellent communication with business and technical stakeholders

Responsibilities

  • Lead the technical design, build, and rollout of scalable data products for value stream teams on the Enterprise Data Platform.
  • Define and evolve architectural patterns for data and analytical solutions, including batch and event-driven approaches.
  • Drive engineering excellence across development, testing, deployment, observability, security, and documentation standards.
  • Mentor data engineers and analytical engineers, while guiding external engineering partners to align with agreed ways of working.
  • Partner with Product Owners and sponsors to align priorities and support platform adoption.

Skills

Data engineering
Leadership
GCP
BigQuery
Mentoring
Business English

Tools

GCP
Cloud Run
BigQuery
Pub/Sub
GCS

Job description

Rituals Cosmetics Enterprise B.V. in Amsterdam is seeking a Tech Lead – Data & Analytical Engineering to strengthen how we build and scale data products within our Tech & Data organisation.

You will be the technical leader for a data engineering team, mentoring engineers, guiding external partners, and partnering with Product Owners to align priorities. The role emphasizes governance, production standards, and enterprise data platform adoption, with 80/20 office/remote work and competitive

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