DevOps Engineer

  • Post Date: August 28, 2019
  • Applications 0
  • Views 427
Job Overview

Is Azure more than just a blue sky for you and a Kafka not only a famous author? Build a state of the art Data Lake, data pipelines and fully automated DevOps solutions based on Microsoft Azure Cloud technologies.

We are committed to actively shaping our future. We create and pursue investment opportunities that get our clients ahead. As a global financial service provider with Swiss roots, we specialize in wealth management, active asset management and investment solutions that fit. We believe that this future is driven by data.

As a Cloud Data and DevOps engineer, you will closely collaborate with our top-notch data science team. You will drive the design and implementation of a data lake and the required data pipelines to support the implementation of machine learning and foster the adoption of cloud computing at bigger scale.

In this role, you are ensuring that data is flowing through scalable and secured data pipelines in a hybrid cloud environment including Microsoft Azure, Salesforce.cometc. by using event streaming and processing technologies and considering important topics like GDPR and data privacy.

Your Challenge

Developing, filling and running a data lake as well as data pipelines

Collaborating closely with your colleagues within integration services, enterprise platform, IT security and the data science team in identifying, evaluating and solving all challenges around big data

You will be working on projects that have a big impact for the business – from predictions to recommendations and fully automated systems – from product creation, execution to distribution

Using latest Microsoft Azure based technologies in the context of finance and Swiss banking
RequirementsUniversity degree in computer science, data engineering or comparable work experience

Excellent data engineering and DevOps skills

Passion for big data, data processing, data privacy and finance

Strong programming and engineering skills using Microsoft Azure (e.g. Databricks), Python, Scala, SQL, kafka Stream processing and Docker / Kubernetes

Good knowledge of CI/CD tools (Azure DevOps etc.) and agile methodologies (Scrum, Kanban)

Fluent communication skills in English, conversational skills in German

Job Detail
  • Offerd Salary80,000 CHF
  • GenderBoth
  • QualificationMaster’s Degree
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