Lead Data

Jobtailor; Paris; Sur place; EUR 70 000 - 110 000; Plein temps

Résumé du poste

Jobtailor seeks a data lead in Paris to grow and structure the data team, turning business needs into actionable data projects and driving performance through analytics.

You will work hands-on with dbt/BigQuery, oversee ML lead scoring and Airflow workflows, and ensure data security and GDPR compliance while collaborating with stakeholders across the organization.

Qualifications

• Around 5–6 years of experience building data stacks in production.
• Strong technical understanding: able to challenge and scope dbt/BigQuery, Python/Airflow, ML and LLMs.
• Communication and simplification skills: able to make data understandable for non-technical audiences.
• Strong awareness of security and compliance (GDPR, personal data); comfortable liaising with a Data Protection Officer (DPO).
• Engineering degree or equivalent.

Responsabilités

• Grow your team: one-on-ones, goal setting, and skills development.
• Recruit and structure the team to reach the target of one data lead per business unit.
• Project management & business-facing role: turn business needs into actionable data projects.
• Help optimize paid acquisition, lead scoring, and management of commercial performance.
• Hands‑on involvement in critical projects: dbt/BigQuery modeling, ML lead scoring, Airflow orchestration.
• Documentation, cataloging and traceability: make data discoverable for everyone, with data quality monitoring.

Connaissances

communication

goal setting

team structuring

simplification

interpersonal skills

collaboration

problem solving

leadership

documentation

Formation

engineering degree

Outils

dbt

BigQuery

Python

Airflow

machine learning

lead scoring

data modeling

data quality monitoring

data stack building

project management

Description du poste

Responsibilities

• Grow your team: one-on-ones, goal setting, and skills development.
• Recruit and structure the team to reach the target of one data lead per business unit.
• Project management & business-facing role: turn business needs into actionable data projects.
• Help optimize paid acquisition, lead scoring, and management of commercial performance.
• Hands‑on involvement in critical projects: dbt/BigQuery modeling, ML lead scoring, Airflow orchestration.
• Documentation, cataloging and traceability: make data discoverable for everyone, with data quality monitoring.

Requirements

• Around 5–6 years of experience building data stacks in production.
• Strong technical understanding: able to challenge and scope dbt/BigQuery, Python/Airflow, ML and LLMs.
• Communication and simplification skills: able to make data understandable for non-technical audiences.
• Strong awareness of security and compliance (GDPR, personal data); comfortable liaising with a Data Protection Officer (DPO).
• Engineering degree or equivalent.

Hard Skills

• dbt
• BigQuery
• Python
• Airflow
• machine learning
• lead scoring
• data modeling
• data quality monitoring
• data stack building
• project management

Soft Skills

• communication
• goal setting
• skills development
• team structuring
• simplification
• interpersonal skills
• collaboration
• problem-solving
• leadership
• documentation

Certifications & Qualifications

• engineering degree