Data Enablement Engineering Lead

ON.com LLC; Zürich; On-site; CHF 180,000 - 240,000; Full time

Job summary

ON.com LLC is seeking an Engineering Manager for the Data Enablement team in Zürich, leading data engineers, analysts and scientists to deliver impactful data products for Commercial (Digital, Retail and B2B). You will design data models, bring in new sources, build pipelines and ensure clean, tested, documented data while guiding architecture and governance.

You will mentor the team, align with stakeholders, drive data strategy, and champion best practices across the cloud environment (GCP)

Qualifications

• 8+ years of experience in data warehousing, data modeling and ELT.
• Proficient in SQL and Python.
• Strong commercial domain experience with e.g. Ecommerce, Retail or Sales.
• Experience managing one or more IC teams.
• Cloud and platform fluency with cloud environments, APIs, data pipelines, observability and CI/CD (GCP preferred).
• Familiar with AI tooling for data and applying AI to data solutions.
• Excellent collaborative communication and stakeholder influence.

Responsibilities

• Lead data engineering, data science, and analytics teams to deliver data products.
• Partner with cross-functional stakeholders to translate business needs into robust data models.
• Define data architecture, governance and best practices.
• Drive data strategy and ensure security and compliance.
• Mentor and develop team members.

Skills

Data warehousing

Data modeling

ELT concepts

SQL

Python

Cloud platforms

AI tooling

Stakeholder influence

Tools

GCP

Job description

ON.com LLC is seeking an Engineering Manager for the Data Enablement team in Zürich, leading data engineers, analysts and scientists to deliver impactful data products for Commercial (Digital, Retail and B2B). You will design data models, bring in new sources, build pipelines and ensure clean, tested, documented data while guiding architecture and governance.

You will mentor the team, align with stakeholders, drive data strategy, and champion best practices across the cloud environment (GCP)