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Data & ai lakehouse engineer (w/m/d) @ victorinox

Schwyz
Festanstellung
LIONSTEP
EUR 95’000 pro Jahr
Inserat online seit: 26 November
Beschreibung

Overview

Data & AI Lakehouse Engineer (w/m/d) – 80-100% – Ibach, Schwyz.

VictorinoX AG invites you to shape the future of data architecture and AI solutions. The role blends modern Data‑Engineering tools with AI readiness on Microsoft Fabric and Power BI.


Responsibilities

* Design, implement and optimize the Fabric lakehouse architecture including ELT pipelines and capacity management.
* Develop, maintain and tune complex Power BI data models and reports in close collaboration with business units.
* Enable AI readiness: prepare data products for machine‑learning and generative‑AI use‑cases and build first prototypes on the Fabric lakehouse platform.
* Transfer knowledge and coach within the BI community to embed best practices for Fabric and Power BI.
* Ensure data quality, security and compliance; automate CI/CD workflows.


Qualifications

* Completed studies in Computer Science, Data Science or a comparable field.
* Professional experience in Data/BI Engineering on the Microsoft stack.
* Hands‑on experience with Microsoft Fabric, DAX, Power Query, SQL, SparkSQL and Python.
* Familiarity with modern Data‑Engineering tools and AI technologies.
* Analytical mindset, self‑initiative and a collaborative attitude.
* German C1 – professional working proficiency.
* English B2 – independent use.


Team & Reporting

* Reports to the Head of DWH/BI.
* Team size: 4 colleagues.


Benefits

* Pension fund program.
* Competitive social insurance and benefits package.
* Discounts with external suppliers and purchasing savings.
* Annual staff sales and lunch & learn sessions.
* Wellness offerings, including yoga and sports club access.
* Annual holiday allowance (up to 30 days) plus paid public holidays.
* Extensive training and development opportunities.

VictorinoX AG, founded in 1884, is a global leader in high‑quality Swiss products and values a family‑centric culture with close collaboration and knowledge transfer.

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