Data & Analytics Engineering — AI & Data

Description

You work in a team (customer and ipt) where you implement an innovative, scalable data solution in the field of Big Data with modern technologies. You will gather and understand the needs of our customers that are relevant for the implementation of Big Data projects. You prepare structured and unstructured data sets with different data types and formats for analytical purposes. You support the customer through agile development methods and automation of data pipelines.

Responsibilities

• Implement innovative, scalable data solution in the field of Big Data with modern technologies
• Gather and understand needs of customers relevant for implementation of Big Data projects
• Prepare structured and unstructured data sets with different data types and formats for analytical purposes
• Support customers through agile development methods and automation of data pipelines

Qualifications

• Successfully completed studies in computer science or business informatics
• First experience in software engineering in a complex IT environment (at least 1 year, part-time possible)
• Know-how in Big Data technologies is an advantage, e.g. Databricks/Spark, Snowflake, Microsoft Azure Synapse, Google Dataproc, Google BigQuery, AWS Lake Formation, AWS Redshift, etc.
• Know-how in storage technologies is an advantage, e.g. Datalake, S3 compatible storage, RDBMS, noSQL databases, Kafka, etc.
• Passion to quickly familiarize yourself with new topics and technologies
• Team player and good communication skills. Professional appearance and very good German and English skills

Benefits

• Development + Perspective: Personal further education and development opportunities based on your career aspirations
• Joint activities: After work, we like to meet for sports or after-work drinks
• Bring Your Own Device: Credit for your own devices that you select yourself – according to your preferences

Hard Facts
Your place of work is on site at the customer's premises in German-speaking Switzerland (Zurich, Lucerne, Basel, Bern, St. Gallen)
Workload: 80% or more