Job Openings

Job Openings

Looking for a new challenge? Whether your passionate about building platforms, developing software or modeling data science pipelines – we have the right job for you!

Note: We also love to get your CV if you have a Senior profile!

Linux Platform Engineer | Junior Big Data Software Engineer | Professional Big Data Software Engineer

Linux Platform Engineer

Scigility combines academic and practical knowhow to a unique Big Data service offering for our customers. We define, build and operate integrated Big Data platforms, build ap- plications to create new insights to our customer’s data and support customers within the legal framework.

Your Tasks

  • Design, Build, operate and maintain distributed, high-available systems for Data Analytics, either on cloud- / hybrid or on-premise platforms, leveraging state-of-the-art technologies, tools and methodologies
  • Create workflows to facilitate automated setup, configuration, security and deployments as Infrastructure-As-Code artifacts
  • Review, audit and troubleshoot existing solutions and system architectures
  • Participate in customer workshops and presentation of the proposed solutions
  • Explore available technologies to provide business support to our clients

Your Profile

  • Degree in Computer science or equivalent
  • Valid Swiss working permit
  • You are a proactive team player with the ability to work independently and accurately in interdisciplinary projects
  • You are curious about new technologies and willing to learn
  • Strong problem solving skills
  • Strong command of English. Good knowledge of German and/or French is beneficial
  • Hands-On experience in applying IaC and deployment automation
  • Proficient in Linux administration and Networking setup and troubleshooting
  • Experience in setting up secure & high-available distributed systems (SSL, Kerberos, SSO, …)

Your Bonus Skills

  • Hands-On experience in Big Data technologies (Hadoop, Kafka,…)
  • Hands-On experience with cloud environments (AWS / Azure / GCP)
  • Experience with Microservices, Docker and Kubernetes

Your Opportunities

Design your career with Scigility in a culture that promotes innovation and diversity. We offer you to join a young and professional team in an environment that constantly opens new doors through knowledge sharing, flexibility and recognition.

Your Application

We are looking forward to receiving your application online on jobs@scigility.com. For further information please contact Lena Laaser (lena.laaser@scigility.com).

Download PDF E-Mail

Junior Big Data Software Engineer

Scigility combines academic and practical knowhow to a unique big data service offering for our customers. We define, build and operate integrated information platforms, build applications to create new insights to our customer’s data and support customers within the legal framework.

Your Tasks

  • Apply knowledge of programming, machine learning, and data modeling to build production-quality analytical solutions
  • Work closely with customers and other stakeholders in an agile environment leading to optimal value extraction from the data
  • Extend, develop and implement new solutions
  • Explore available technologies to provide business support to our clients

Your Profile

  • University degree in computer science or equivalent
  • Hands-on experience programming machine learning based solutions to real-world problems obtained during studies
  • Ability to write production-quality object-oriented code in at least one of the modern OOP languages (e.g. Python, Java, Scala)
  • Understanding of machine learning theory and practice (feature engineering, regularizations, hyperparameter tuning, ensemble methods, neural network architectures)
  • Basic knowledge of Apache Spark
  • Ease with Linux
  • Strong command of English, a level of German sufficient for work-related discussions, willingness to travel
  • An open mind, desire to learn the best language/technology to solve given problems
  • You are a proactive team player with the ability to work independently and accurately in interdisciplinary projects

Your Opportunities

Design your career with Scigility in a culture that promotes innovation and diversity. We offer you to join a young and professional team in an environment that constantly opens new doors through knowledge sharing, flexibility and recognition.

Your Application

We are looking forward to receiving your application online on jobs@scigility.com. For further information please contact Lena Laaser at lena.laaser@scigility.com.

Download PDF E-Mail

Professional Big Data Software Engineer

Scigility combines academic and practical knowhow to a unique Big Data service offering for our customers. We define, build and operate integrated Big Data platforms, build applications to create new insights to our customer’s data and support customers within the legal framework.

Your Tasks

  • You’re responsible for big data value chains and will provide technical guidance and solutions in analytics projects
  • Design and develop both bare-metal and cloud-based solutions, leverage state-of-the-art technologies, tools and methodologies
  • Write and tune complex near-real-time and batch data pipelines with Spark, Flink and Kafka Streams
  • Work closely with customers and other stakeholders in an agile environment
  • Review, audit and troubleshoot existing solutions and system architectures
  • Participate in customer workshops and presentation of the proposed solutions
  • Explore available technologies to provide business support to our clients

Your Profile

  • Degree in Computer science or equivalent
  • Strong command of German and English, willingness to travel
  • Sound knowledge of programming in Java, Scala, Python and R
  • Experience with big data ecosystems, advantageous: Hadoop, Spark, Kafka
  • Knowledge of real-time processing systems like Spark Streaming, Flink and Kafka
  • Knowledge of cloud technologies
  • Experience dealing with large, poly-structured volumes of data and a good understanding of the entire value chain within the field of data analysis
  • Strong problem solving skills & ability to learn in a fast-paced environment
  • You are a proactive team player with the ability to work independently and accurately in interdisciplinary projects

Your Opportunities

Design your career with Scigility in a culture that promotes innovation and diversity. We offer you to join a young and professional team in an environment that constantly opens new doors through knowledge sharing, flexibility and recognition.

Your Application

We are looking forward to receiving your application online on jobs@scigility.com. For further information please contact Lena Laaser (lena.laaser@scigility.com).

Download PDF E-Mail