20 meilleures offres (devops engineer cloud devops platforms) (à pourvoir)

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ML Platform Engineer | Zurich OR Fribourg | Switzerland
Acquism SARL —Zürich, ZH
- 100%
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Senior Data Engineer - Azure, AWS, Databricks
ELCA Informatique SA —Pully, VD
- 100%
- Anglais
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DB&L Services SA —Canton du Tessin
- Télétravail
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Coopérative de la Caisse des Médecins —Thônex, GE
- 100%
- Anglais
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P2625 - Data Platform Engineer - Full Stack
Debiopharm —Lausanne, VD
- 100%
- Anglais
- Niveau Master
- SQL
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Platform Engineer - Infrastructure Control Plane & Workflow Automation 100% (f/m/d)
Julius Baer —Zürich, ZH
- 100%
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Abbott Laboratories —Bâle, BS
- 100%
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- 100%
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- 100%
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Forward Deployed Engineer
Ethon —Zürich, ZH
- 100%
- SQL
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Senior Software Engineer, Observe by Snowflake Frontend
Snowflake —Zürich, ZH
- 100%
- Informatique
- Windows
- SQL
Senior AI Engineer / Consultant
Artifact —Zürich, ZH
- 100%
- Anglais
- Niveau Master
- SQL

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Data Engineer - QuantumBlack, AI by McKinsey

McKinsey & Company -
Zürich, ZH

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Détails de l'emploi

Qualifications

Informatique
Spark
Anglais
Google Cloud Platform
Java
SQL
AWS
Docker
Compétences en communication
Python
Allemand

Description complète du poste

Job ID: 102705

Zurich

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You’ve come to the right place.

YOUR IMPACT

As a Data Engineer, you will design and maintain scalable data pipelines, manage secure data environments, and prepare data for advanced analytics while collaborating with cross-functional teams and clients.

You’ll tackle real-world challenges, contribute to innovative AI solutions, and grow as a technologist by working alongside diverse experts across industries.

In this role, you will design and build scalable, reproducible data pipelines for machine learning. You’ll assess data landscapes, ensure data quality, and prepare data for advanced analytics models. Additionally, you’ll manage secure data environments and contribute to R&D projects and internal asset development, expanding your technical expertise.

Your work will address real-world challenges across industries. Collaborating with McKinsey’s QuantumBlack and Labs teams, you’ll help build innovative machine learning systems that accelerate AI adoption and solve business problems at scale, enabling clients to achieve meaningful impact.

You’ll be based in Zurich as part of our global Data Engineering community. Working in cross-functional Agile teams, you’ll collaborate with Data Scientists, Machine Learning Engineers, and industry experts to deliver advanced analytics solutions. You’ll be partnering with clients, from data owners to C-level executives, and help solve complex problems that drive business value.

This role offers an exceptional environment to grow as a technologist and collaborator. You’ll develop expertise at the intersection of technology and business by tackling diverse challenges. Surrounded by inspiring, multidisciplinary teams, you’ll gain a holistic understanding of AI while working with some of the best talent in the world.

YOUR GROWTH

Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.

In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.

When you join us, you will have:

Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

YOUR QUALIFICATIONS AND SKILLS

Degree in Computer Science, Engineering, Mathematics, or equivalent experience
Up to 2 years of experience building data pipelines in a professional setting (for example, internship) to solve business problems
Ability to write clean and maintainable code in an object-oriented language, e.g., Python, Scala, Java
Familiarity with analytics libraries (e.g. pandas, numpy, matplotlib), distributed computing frameworks (e.g. Spark, Dask), and cloud platforms (e.g. AWS, Azure, GCP)
Exposure to software engineering concepts and best practices, inc. DevOps, DataOps and MLOps will be beneficial
While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, our own open-source data pipelining framework called Kedro, Dask/RAPIDS, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP, and Azure, and more.
Practical experience in generative AI application development
Proven record of advisory works
Proven record of leadership in a work setting and/or through extracurricular activities
Proficient communication skills in German and English
Effective communication and presentation skills, particularly the ability to explain complex technical concepts in a comprehensible manner adapted to different groups of non-technical audiences e.g. business managers, heads of products, sales & marketing leads

Please review the additional requirements regarding essential job functions of McKinsey colleagues.

Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

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devops engineer cloud devops platforms emplois

Data Engineer - QuantumBlack, AI by McKinsey

Data Engineer

Senior Software & Platform Engineer – Risk Modeling Platform

(Senior) Software Engineer (m/f) 80-100%

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ML Platform Engineer | Zurich OR Fribourg | Switzerland

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Senior GCP DevOps for a Lugano bank

Database Engineer (w/m)

P2625 - Data Platform Engineer - Full Stack

Platform Engineer - Infrastructure Control Plane & Workflow Automation 100% (f/m/d)

Cloud Architect

Head of Engineering & Product Delivery – Pricing, Modelling & Accumulation

Advanced Data Engineer

OpenShift Migration Lead

Systems, Infrastructure and Operations Engineer

Cloud Security Architect

Forward Deployed Engineer

Senior Software Engineer, Observe by Snowflake Frontend

Senior AI Engineer / Consultant

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