Data Platform Lead & ML Scientist — Hybrid Role

Harnham

Amsterdam

Hybrid

EUR 85,000 - 110,000

Full time

2 days ago
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Benefits offered by this job

Hybrid work model (2 office days/wk)
Relocation sponsorship
Autonomy and ownership
Modern tech stack

Job summary

Harnham in Amsterdam, Netherlands offers a hybrid role leading the data platform and data science efforts. You will shape both data products and the platform, delivering analytics, ML, and self-service BI that drive commercial outcomes.

The role combines strategic leadership with hands-on delivery across data and ML projects, collaborating with technology, product, and commercial teams.

Qualifications

  • Designing and operating modern cloud data platforms.
  • Hands-on data transformation with dbt best practices.
  • Experience with orchestration tools such as Airflow.
  • Strong data modelling knowledge (dimensional modelling).
  • Proven ML or statistical model deployment into production.
  • Experience with experimentation frameworks and AB testing.

Responsibilities

  • Take ownership of the data platform and its ongoing development.
  • Lead design and operation of cloud-based data solutions.
  • Introduce and improve model lifecycle management, monitoring, and governance.
  • Build scalable analytics, ML, and self-service BI capabilities.
  • Drive initiatives in recommendation systems, search, experimentation and analytics.
  • Partner with product/business to define success metrics and priorities.
  • Support growth and development of the data team.
  • Balance strategic leadership with hands-on technical contributions.

Skills

Cloud data platform design
dbt
Airflow
BigQuery
ML deployment
Experimentation
Stakeholder communication
Team leadership

Tools

GCP
dbt
Airflow
BigQuery
Python
Tableau

Job description

Harnham in Amsterdam, Netherlands offers a hybrid role leading the data platform and data science efforts. You will shape both data products and the platform, delivering analytics, ML, and self-service BI that drive commercial outcomes.

The role combines strategic leadership with hands-on delivery across data and ML projects, collaborating with technology, product, and commercial teams.

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