Data Engineer (m/f/x)

  • Kyndryl
  • Switzerland
  • 15/06/2022
Full time Data Engineering Big Data Artificial Intelligence Software Engineering DevOps

Job Description

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Full Job Description

Why Kyndryl

Our world has never been more alive with opportunities and, at Kyndryl, we’re ready to seize them. We’re combining the mentality of a start-up with the footprint of a market leader. We’re a new organization, but we’re also a $19 billion company with 90,000 employees and a list of 4,600 clients —including 75 of the Fortune 100.
Every day, we design, build, manage and modernize the mission-critical technology systems that the world depends on. We are committed to the health and improvement of the systems at the heart of the digital economy, and we work closely with our partners and customers to ensure that each achieves their peak digital performance.
Kyndryl is at the heart of progress —dedicated to helping companies and people grow strong. Our people are actively discovering, co-creating, and strengthening. We push ourselves and each other to seek better, to go further, and we carry this energy to our customers. At Kyndryl, we want you to keep growing and we’ll provide plenty of opportunities to make that happen.
A healthy digital ecosystem doesn’t just benefit our customers and partners; it provides oxygen to innovation and energy to change the world over. Together, let’s make sure our world thrives.

Your Role and Responsibilities

A data engineer is involved in various activities, such as building systems that collect, manage, and convert raw data into usable information for data scientists and business analysts to interpret. Their ultimate goal is to make data accessible so that organizations can use it to evaluate and optimize their performance.
As a Data Engineer your main responsibilities will include the following tasks:
  • Advising clients on how to leverage their data by creating optimized data pipeline
  • Advising clients on how to create a data fabric and modern data architecture leveraging state of the art on prem or cloud based technology
  • Designing, building, testing and maintaining reusable data pipelines for ingestion and processing of data
  • Making data accessible to organizational stakeholders; working in sync with internal and external team members like data architects, data scientists, data analysts to handle all sorts of technical issues
  • Collecting data requirements, maintaining metadata about data
  • Data security and governance with modern-day security controls
  • Participating in presales activities such as customer workshops and presentations

Required Technical and Professional Expertise

  • Strong implementation experience in building and troubleshooting data pipelines (cloudera, apache, mongodb, etc.)
  • Understanding of infrastructure (including hosting, container-based deployments, and storage architec-tures)
  • Architectural and troubleshooting skills on commonly seen technical stack
  • Scripting skills (Python, Scala, PowerShell, bash, JSON scripting), automation, setup – installation and configuration, trouble shooting and fixing issues across platforms
  • Intermediate (or) strong knowledge of CI/CD tools like Git, Jenkins, Ansible, Splunk
  • Hands-on experience in GCP/AWS/Azure cloud platforms
  • Strong knowledge/experience on Relational and NoSQL databases
  • Excellent written and verbal communication in English as well as German or French

Preferred Technical and Professional Experience

Required Education

Bachelor's Degree

Preferred Education

Master's Degree



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Being You @ Kyndryl

Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Other things to know

For additional information about location requirements, please discuss with the recruiter following submission of your application.

Primary job category

Technical Specialist

Role ( Job Role )

Data Engineer

Employment Type


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Travel Required

Up to 40% or 2 days a week (home on weekends- based on project requirements)


(Y066) Kyndryl Switzerland GmbH

Is this role a commissionable/sales incentive based position?