- Partner with our clients, from data owners and users to C-level executives, to understand their needs and build impactful analytics solutions
- Design and build data pipelines to support data science projects following software engineering best practices
- Use state of the art technologies to acquire, ingest and transform big datasets
- Map data fields to hypothesis, curate, wrangle and prepare data to be used in advanced analytics models
- Create and manage data environments in the cloud or on premise
- Ensure information security standards are maintained at all time
- Contribute to cross-functional problem-solving sessions with your team and deliver presentations to colleagues and clients
- Be flexible to travel to our clients' offices to deliver presentations, gather information or share knowledge
- Have the opportunity to contribute to R&D and internal asset development projects
- Real-World Impact– No project is ever the same. We work with top-tier clients across multiple sectors, providing unique learning and development opportunities internationally.
- Fusing Tech & Leadership– We work with the latest technologies and methodologies and offer first class learning programmes at all levels.
- Multidisciplinary Teamwork- Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance.
- Innovative Work Culture– Creativity, insight and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks and training sessions.
- Striving for Diversity– With colleagues from over 40 nationalities, we recognise the benefits of working with people from all walks of life.
- Degree in computer science, engineering, mathematics, or equivalent experience
- Previous commercial experience in a data-driven role
- Ability to write clean, maintainable, and robust code in Python, Scala, or similar languages
- Knowledge of software engineering concepts and best practices
- Familiarity with the latest OSS, cloud, container, query languages and database technologies
- Confirmed experience building data pipelines in production and ability to work across structured, semi-structured and unstructured data
- Experience preparing data for analytics and following a data science workflow
- Commercial client-facing or senior stakeholder management experience
- Willingness to travel up to 60%
- Fluency in English (C1) is required
Company
Location
Zurich - Switzerland
Job type
Full-Time
Python Job Details
Who You'll Work With
You will be based in the Geneve or Zurich office and be part of a Global Data Engineering community. You will work in cross-functional and Agile project teams alongside project managers, data scientists, other data engineers, machine learning engineers and industry experts.
You will work hand in hand with our clients, from data owners and users to C-level executives
Who you are
You are a highly collaborative individual and enjoy solving problems that focus on adding business value. You have a sense of ownership and enjoy hands-on technical work. Our values resonate with yours.
What You'll Do
As a Data Engineer in Switzerland, you will...
Our tech stack
While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, SQL, Airflow, Databricks, our own OSS called Kedro, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP or Azure, and more!
What you'll benefit from
Visit our Careers site to watch our video and read about our interview processes and benefits.
Qualifications
More Developer Job Boards
Fullstack Developer Jobs Golang Jobs JavaScript Jobs Python Jobs React Jobs Rust Jobs Java Jobs