On Zürich vor 1 Monaten

Senior Lead - Data Engineer

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Das ist der Job

What We Offer On is a place that is centered around growth and progress.

Darum lohnt es sich

In short As the Engineering Manager of the Data Enablement team for FinOps you will be responsible for driving the design of data models, bringing in new data sources and building data pipelines, while leveraging SQL to provide clean, tested, documented and well‑defined data.

Lead Decisive Execution: Enable the team to make timely and informed decisions for consequential, potentially irreversible decisions, and provide direction/support to others in tackling complex new problems by identifying underlying issues and root causes.

Provide Technical Leadership: Be accountable for your team's technical decisions and solutions, ensuring they align with Data Engineering best practices and On's overall Tech architecture, security, and compliance guidelines.

Champion Team & Talent Development: Actively promote formal and informal mentoring, provide growth opportunities to your team, and build an inclusive team environment that fosters a culture of seeking out and delivering candid feedback.

Proven People Leadership: Experience managing one or more teams with ICs under direct management, empowering them to ship high‑quality code at pace while navigating trade‑offs.

Collaborative Influence: Exceptional communicator and team player, adept at guiding team decisions, fostering consensus, and effectively conveying complex technical information to diverse audiences.

Our distinctive approach combines a supportive, team‑oriented atmosphere with access to personal self‑care for both physical and mental well‑being, so each person is led by purpose.

You will act as a leader for data engineers, data analysts and data scientists by providing guidance on architectural and design decisions, while evangelizing and encouraging our best practices and governance policies.

You will also act as a point of contact for multiple business functions and collaborate with stakeholders to create relevant data products to enhance data adoption and increase trust.

Your mission Drive Strategic Alignment & Business Impact: Partner with cross‑functional stakeholders to understand business requirements, and proactively identify and deliver data products that have a significant impact on stakeholders across functions or regions.

Your story Deep Data Proficiency: 8+ years of related experience or equivalent, with deep technical expertise in data warehousing, data modeling and ELT concepts, and are experienced in SQL, Python or equivalent programming.

Finance & Operations Domain Expertise: Significant experience partnering with Finance and Operations stakeholders, translating complex business needs into robust data solutions and high‑quality data models.

Cloud & Platform Fluency: Expert knowledge of data infrastructure, APIs, data pipelines, observability and workflow orchestration in distributed cloud environments, with hands‑on experience on cloud platforms (GCP preferred) and automated CI/CD.

AI Savvy: Familiarity with AI tooling for data such as analytics LLMs or conversational analytics, and demonstrable knowledge of using AI to innovate in the data sphere. We offer an environment designed to give people the tools to develop holistically – to stay active, to learn, explore and innovate. On is an Equal Opportunity Employer.

We are committed to creating a work environment that is fair and inclusive, where all decisions related to recruitment, advancement, and retention are free of discrimination. #J-18808-Ljbffr

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