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Data Engineer

A Swiss AI and data analytics consulting company founded in 2017, helping traditional industries solve complex problems through AI and data science solutions.
Data
Mid-Level Software Engineer
Hybrid
101 - 500 Employees
3+ years of experience
AI · Enterprise SaaS · Automotive...

Description For Data Engineer

Unit8 SA, a leading Swiss AI and data analytics consulting company founded in 2017, is seeking a Data Engineer to join their growing team in Zurich. With over 130 talented professionals across 5 office locations and 180+ successfully delivered projects, Unit8 specializes in solving complex problems for traditional industries including automotive, chemical, financial services, manufacturing, and pharma.

As a Data Engineer, you'll be integral to building solutions that directly impact major European organizations' operations, finance, manufacturing, and R&D. The role combines technical expertise with client interaction, requiring both strong engineering skills and excellent communication abilities. You'll work with cutting-edge technologies and distributed systems, handling high-volume data processing and building robust data pipelines.

The position offers unique opportunities to work on diverse projects across different industries, from pharmaceutical production monitoring to climate risk assessment systems. You'll be part of an international team, with access to continuous learning through knowledge sharing groups and dedicated self-development time. The company culture combines professional growth with work-life balance, offering benefits like a Fun Fund for team activities and extended parental leave.

This role is perfect for a technically proficient engineer who enjoys solving complex problems, wants exposure to various industries and technologies, and values working in a collaborative, fast-paced environment. With Unit8's focus on driving AI adoption in non-digital industries, you'll be at the forefront of digital transformation while working with a team dedicated to making meaningful impact through technology.

Last updated 13 hours ago

Responsibilities For Data Engineer

  • Design, build, maintain, and troubleshoot data pipelines and processing systems
  • Drive optimization, testing, and tooling to improve data quality
  • Collaborate with software engineers, ML experts, and stakeholders
  • Work in multi-functional agile teams
  • Build solutions and infrastructure for client business problems

Requirements For Data Engineer

Python
Java
Kubernetes
  • Proficient software engineer with fundamentals of computer science
  • Master at least one widely adopted programming language (Python, Java, C#, C++)
  • Experience with distributed services and high-volume heterogeneous data
  • Knowledge of data governance, data access, and data storage techniques
  • Strong client-facing skills
  • Willing to travel up to 10% of time (mainly in Europe)
  • Fluent in English and German or French

Benefits For Data Engineer

Parental Leave
  • Work on impactful client projects
  • Exposure to various projects, industries, and technologies
  • Contribute to internal open-source projects
  • Tailor-made mentorship programme
  • 10% of paid time for self-development
  • Learning activities and knowledge sharing groups
  • International team environment
  • Company-wide events
  • Fun Fund for after-work activities
  • Compensation package with base salary and profit sharing
  • Extended parental leave
  • Work in a fast-growing company with startup atmosphere

Interested in this job?

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