11 beste Stellen als data engineer data integration platform in zürich zh – aktuell auf Personalsuche

Senior Data Engineer
Google —Zürich, ZH
- CHF 156’000 - CHF 227’000 pro Jahr
- 100%
- Bachelor
- Ohne Hochschulabschluss
1 Tag
System Engineer
Destinus —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Management-Erfahrung
- Militär
- Englisch
Direkt bewerben
1 Tag
Senior System Engineer
Destinus —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Management-Erfahrung
- Militär
- Englisch
Direkt bewerben
1 Tag
Embedded Electronics Engineer (f/m/d) | 40 - 60% | Deep Tech Startup
Subatron GmbH —Zürich, ZH
- Teilzeit
- Hybrides Arbeiten
- Englisch
- Master
- C++
Direkt bewerben
15 Std.
Sr Platform Architect
ServiceNow —Zürich, ZH
- 100%
- Hybrides Arbeiten
- Management-Erfahrung
- Bis zu 50% Reiseanteil
Direkt bewerben
1 Tag
Data Engineering Consultant (w/m/x)
Avanade —Zürich, ZH
- Homeoffice
- Englisch
- SQL
- Python
8 Std.
Senior Solutions Architect
Avaloq —Zürich, ZH
- 100%
- Management-Erfahrung
- AWS
- Analysefähigkeit
Direkt bewerben
1 Tag
Senior HPC and AI Network Software Architect
NVIDIA —Zürich, ZH
- CHF 221’250 - CHF 507’000 pro Jahr
- 100%
- Informatik
- Doktorat
- C++
Named Account Manager - Retail & CG (Consumer Goods)
Salesforce —Zürich, ZH
- 100%
- Salesforce
- Englisch
Forward Deployed Engineer
Salesforce —Zürich, ZH
- 100%
- Informatik
- Salesforce
- Java
4 Std.
Senior Product Security Engineer
Thomson Reuters —Zug, ZG
- 100%
- Homeoffice
- AWS
- Analysefähigkeit
- Bachelor
- Homeoffice-Möglichkeit
7 Std.

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data engineer data integration platform jobs near zürich zh

Senior Data Engineer

Google -
Zürich, ZH

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Details zur Stelle

100% | Pensum: 90-100%
CHF 156’000 - CHF 227’000 pro Jahr
vor 1 Tag

Leistungen

Unterkunft

Qualifikationen

Power BI
Spark
Tableau
Bachelor

Vollständige Stellenbeschreibung

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Zürich, Switzerland.

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
5 years of experience designing data pipelines, and dimensional data modeling for synch and asynch system integration and implementation using internal (e.g., Flume, etc.) and external stacks (DataFlow, Spark, etc.).
5 years of experience coding in one or more programming languages.
5 years of experience working with data infrastructure and data models by performing exploratory queries and scripts.

Preferred qualifications:

5 years of experience with statistical methodology and data consumption tools such as business intelligence tools, collabs, jupyter notebooks, Tableau, Power BI, DataStudio, and business intelligence platforms.
3 years of experience developing project plans and delivering projects on time within budget and scope.
3 years of experience partnering with stakeholders (e.g., users, partners, customer), and managing stakeholders/customers.
Experience with Machine Learning for production workflows.

About the job

The Merchant Data Science team is a group within the Merchant Shopping Organization. We work on building scalable data products that empower data-driven decision-making.

In this role, you will innovate and build durable, impactful data products. You will bridge the gap between software engineering, data engineering, and data science.

As a Data Engineer in the Merchant Shopping organization, you will build data products and foundations to improve Google's Shopping products. You will collaborate with a multidisciplinary team of data scientists, engineers, and PMs on a wide range of problems. You will bring an undertanding of data, logging, and engineering. You will solve non-routine problems, build reliable data products used across the organization, and drive impact on cross-functional projects.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $156000 - $227000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

Identify the underlying need, process datasets, and apply advanced data engineering, data modleing, and architectural frameworks when needed.
Design, build, and scale innovative data products, including self-serve tools, and automated pipelines.
Advance data infrastructure, product quality, and foundational understanding through automated validation frameworks, data quality, and reliability monitoring.
Operate with a high degree of autonomy, owning data engineering projects from initial conception to landing and impact.
Advocate impactful data products while contributing to a team culture that values engineering excellence, robust data, and sharp communication.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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Erweiterte Suche

data engineer data integration platform Jobs in zürich zh

Senior Data Engineer

System Engineer

Senior System Engineer

Embedded Electronics Engineer (f/m/d) | 40 - 60% | Deep Tech Startup

Sr Platform Architect

Data Engineering Consultant (w/m/x)

Senior Solutions Architect

Senior HPC and AI Network Software Architect

Named Account Manager - Retail & CG (Consumer Goods)

Forward Deployed Engineer

Senior Product Security Engineer

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