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Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : data architect (f/m/d) (switzerland)

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Data Architect (f/m/d)

Digitec Galaxus AG -
Zürich, ZH

Soumettre votre candidature

Détails de l'emploi

Temps partiel | Temps de travail : 80-100% | 100%
Il y a 6 heures

Qualifications

Anglais
Niveau Master
SQL
Compétences en communication
Python

Description complète du poste

Zurich

80% - 100%
Product Development
English

As the top Swiss e-commerce platform, with a crew of over 4’000 across Switzerland, Germany, and Serbia, Galaxus is poised to move into new markets. Our driving force is our determination to keep challenging the status quo. That’s why we’re on the lookout for characters who’re passionate about making genuine improvements. We’ll give you the freedom and trust to make an impact, to grow with us and to be yourself. Act galactic. Be you.

As a Data Architect, you will work closely with product owners, data professionals, software developers, and business stakeholders from finance, and fraud. You will turn customer feedback into actionable insights, enhancing interactions within the Digitec Galaxus Order Management Area. Your goal will be to advise on architectural design decisions for our products, and to centralise company-wide goals into objectives for the team.

Your responsibilities

Collaborate with other teams and stakeholders to understand the data architectural landscape within the company
Advise on best practices for technical decisions within the team that align with the company goals
Communicate and present updates across the company to the team, and convert these updates into actionable goals
Drive and expand data science and analytics engineering initiatives within the Finance area, enhancing our capabilities and impact
Contribute to the community of Data Scientists and Analytics Engineers at Digitec Galaxus by enhancing our models, our codebase and our platform

Your skills

Master's degree or higher in a data-focused field (e.g., Data Science, Statistics, Mathematics)
10+ years of experience with creating actionable insight from data, preferably in a financial risk domain, 5+ of which in a senior role
Practical experience in applying machine learning techniques. Particularly in the areas of fraud detection, and credit risk would be a plus
Hands-on experience with real-time and data streaming technologies would be advantageous
Strong communication skills, with the ability to explain concepts in a clear and relatable way to diverse audiences
Ability to coach and lead other Data Scientists and Analytics Engineers in best practices and technologies
Experience in making ETL architectural decisions for ML use cases in larger organisational settings, and up to date with the latest data technologies
Proven track record of projects in Python, and SQL, and able to lead conversations around the optimal use of both
Experience deploying ML models on cloud platforms
Knowledge of data privacy regulations (e.g., GDPR, EU AI act) and a commitment to maintaining high standards of data security
Experience with agile methodologies, effectively working within cross-functional teams and collaborating closely with product owners and business stakeholders
Ability to identify opportunities for improvement and acting as the interface between data and platform teams
Prioritises empathy and compassion in decision-making
Fluency in English is required
Identifying opportunities for improvement and implementing changes to enhance productivity and effectiveness
Taking calculated risks to create value and drive growth

Why start with us?

Values, not empty words: Cooperative, innovative, piratesque, responsible, ambitious – these five values are what we practise and preach.
Courageous thinking: We encourage everyone to think on their feet, and love it when they come up with bold or edgy ideas.
Uncomplicated approach: Simplicity is at our core. We avoid the unnecessary and focus on what really matters – from overcoming challenges to celebrating our shared successes.
Flexibility and freedom: We offer working-from-home options, up to 8 weeks of workation, and every position is possible with an 80% workload.
Rapid growth: With us, growth is a continuous journey. We also support you with 2'000 EDU points per year for your professional development so there’s no risk of you getting stuck in a rut.
More benefits: 25 days of holiday, exclusive employee conditions in our online shop, mobile, internet and TV plans at company rates and many other benefits.

Diversity is our culture.

To build the best team, we want to draw from the full spectrum of talent out there. This means people from all walks of life have the same opportunities with us, regardless of their ethnicity, religion, disability status, gender identity, sexual orientation or age. We believe true inclusion means everyone is welcome and each contribution is valuable.

Working Language

English

Workload

80% - 100%

Location

Digitec Galaxus AG
Pfingstweidstrasse 60b
CH-8005 Zürich

Soumettre votre candidature

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