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- Aufgaben: Join an international team to design and implement cloud data science services.
- Arbeitgeber: Work with a major client in Zurich, leading the way in cloud technology.
- Mitarbeitervorteile: Enjoy a dynamic work environment with opportunities for growth and collaboration.
- Warum dieser Job: Be part of a cutting-edge Data Science Platform that impacts internal stakeholders.
- Gewünschte Qualifikationen: Master's or Bachelor's in Computer Science with 3+ years of relevant experience required.
- Andere Informationen: Immediate start available for this temporary position.
Das voraussichtliche Gehalt liegt zwischen 48000 - 84000 € pro Jahr.
For a major client based in Zurich, we are looking for a Data Engineer for the Data Science Platform team within the cloud center of excellence in the application platform department.
Tätigkeiten:
- Designing, implementing, and consulting on public cloud data science services
- Being part of an international team that envisions and implements the roadmap of a mature Azure cloud-based Data Science Platform (DSP)
- Support the lifecycle of the DSP which is offered as a service towards internal stakeholders by supporting features from data ingestion to reporting
- Developing its infrastructure closely and collaborating with the DSP Engineering team to support use cases and enhance DSP setup
Anforderungen:
- Master’s or Bachelor’s degree in Computer Science or similar
- Minimum of 3 years of practical experience in a similar role
- Multiple years of experience with building data pipelines and their infrastructure on public cloud services and platforms like Microsoft Azure (our primary cloud service provider) and/or Amazon Web Services, Google Cloud Platform
- Experience in Hadoop and Spark-based environments, especially Databricks
- Strong software development skills with proficiency in data transformation languages (such as Python, SQL, and Scala), infrastructure as code (IaC)
- Knowledge of CI/CD and automation concepts to enhance the maturity of DSP, proven knowledge of cloud foundation services (networking, security, storage, and IAM), their operation and configuration options
- Open-minded and proactive learning and development attitude to work with highly motivated engineers
- Fluent English (verbal and written) is required
Einsatzort: Zürich
Eintritt ab: sofort
Stellenart: Temporärstelle
Stellen-Nr.: 1255 #J-18808-Ljbffr
Cloud Data Engineer, Zürich District Arbeitgeber: TN Switzerland
Kontaktperson:
TN Switzerland HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Cloud Data Engineer, Zürich District
✨Tip Number 1
Make sure to showcase your experience with Azure and other cloud platforms in your conversations. Highlight specific projects where you've built data pipelines or worked with cloud services, as this will resonate well with the team.
✨Tip Number 2
Familiarize yourself with the latest trends in data engineering and cloud technologies. Being able to discuss recent advancements or tools in the field during your interview can demonstrate your proactive learning attitude.
✨Tip Number 3
Prepare to discuss your experience with CI/CD and automation concepts. Be ready to provide examples of how you've implemented these practices in previous roles, as they are crucial for enhancing the maturity of the Data Science Platform.
✨Tip Number 4
Since the role requires collaboration with an international team, practice your English communication skills. Being fluent in both verbal and written English will help you stand out and show that you're ready to engage with a diverse group of engineers.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Cloud Data Engineer, Zürich District
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Cloud Data Engineer position. Understand the key responsibilities and required skills, especially those related to Azure, data pipelines, and programming languages like Python and SQL.
Tailor Your CV: Customize your CV to highlight relevant experience in cloud services, data engineering, and software development. Emphasize your practical experience with Azure and any projects that showcase your ability to build data pipelines.
Craft a Strong Cover Letter: Write a cover letter that reflects your enthusiasm for the role and the company. Mention specific projects or experiences that align with the responsibilities of the position, and express your proactive learning attitude.
Highlight Soft Skills: In addition to technical skills, emphasize your soft skills such as teamwork, communication, and problem-solving abilities. These are crucial for working in an international team and supporting internal stakeholders.
Wie du dich auf ein Vorstellungsgespräch bei TN Switzerland vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with cloud platforms, especially Microsoft Azure. Highlight specific projects where you've built data pipelines and the technologies you used, such as Hadoop or Spark.
✨Demonstrate Problem-Solving Abilities
Expect scenario-based questions that assess your ability to troubleshoot and optimize data workflows. Share examples of challenges you've faced in previous roles and how you overcame them.
✨Emphasize Collaboration and Communication
Since you'll be part of an international team, it's crucial to demonstrate your ability to work well with others. Discuss experiences where you've collaborated on projects and how you communicated complex technical concepts to non-technical stakeholders.
✨Express Your Learning Mindset
The role requires a proactive attitude towards learning. Be ready to talk about new technologies or methodologies you've recently explored and how you stay updated in the fast-evolving field of data engineering.
