Cloud Platform Engineer (m/f/d)

*depending on level of expertise and skills

As an industry leader in their field, my client unites several globally successful brands under its roof and has increased its market share consistently over the last 30 years. 

Their success has led to the creation of an AI department that currently consists of more than 350 experts in areas like Data Science, Data Engineering and Cloud Engineering, solving problems around topics like smart manufacturing (IIoT), logistical optimisation and data integration.

Expanding their Engineering unit, they are currently looking for an additional Cloud Platform Engineer (m/f/d) to join the team.

Responsibilities

As a Cloud Platform Engineer you work closely with other platform specialists and Data Engineers on designing, prototyping, developing and implementing a new cloud based data platform that will centralise all data services across the conglomerat.

The aim is to enable technical and non-technical departments and business divisons alike to fully self-service e.g. the complete process of creating and integrating new products and services with a unified tool stack and within one platform solution.

Tasks of the Cloud Platform Engineer include

• Design and implementation of architecture that supports e.g. connections to multiple clouds services (like Azure and GCP), sources (e.g. Snowflakes) and varying processing methods and speeds (batch and streaming)
• Automation of routine processes such as data access management and alerting
• Research, testing and introduction of new tech e.g. for the automated deployment of software and other features
• Testing and deployment of your own solutions and their components
• Close collaboration with other specialists like Data Scientists and Monitoring experts to e.g. identify potentials for the development and integration of new AI products as well as the introduction of data security measures

Skills & Experience

• At least 3 years of relevant professional experience, e.g. expertise in developing and implementing data processing platforms, infrastructures or applications
• Profound expertise in software development and with Python
• Keen interest in the cloud native development approach
• A plus (but not mandatory) would be professional experience with applications like Databricks, Confluent and/or Kubernetes
• Good communicational skills across all levels and areas (including non-technical staff)
• The ability of working in an international, versatile team
• Fluency in English; German is not required

Are you interested and want to learn more?