Who We Are
Founded in 2017, Unit8 is a fast-growing Swiss AI and data analytics consulting and services company dedicated to solving complex problems of traditional industries like automotive, chemical, financial services, manufacturing and pharma. We work with some of the biggest organisations in Europe to solve the challenges that directly affect their business - be it operations, finance, manufacturing or R&D. Since our foundation, we have successfully delivered more than 200 projects and have grown to 140+ talented individuals across 5 office locations.
Unit8’s mission is to drive the adoption of AI and Data Science in the non-digital industries and to help accelerate their digital transformation. Among its activities, Unit8 dedicates a part of its resources and time on projects that deeply matter to us - that includes collaboration on pro-bono and “engineering for good” causes. You can learn more about what we are passionate about at Unit8 Talks and on our website you can find more useful information about our business and recruiting process.
These are some examples of projects that we have been working on
- Building a real-time production line monitoring system for the pharmaceutical industry in order to improve the throughput of the production processes for the Pharmaceutical Industry. Technologies: AWS, EKS, CloudFormation, Docker, Python
- Building system for calculating and delivering global climate scores i.e. estimating the impact of climate change on the risk of natural disasters (i.e. floods, wildfires & droughts) for the Insurance Industry. Technologies: PySpark, Python, Proprietary Data Processing Platform
- Building a modern data science platform including a data lake for Chemical Industry. Technologies: Azure, ML Studio, Data Factory, Databricks, Spark
Requirements
About You
- You have a proven track record of delivering Data solutions in a production environment.
- You have a minimum 5+ years of work experience, experience in the consulting industry will be a plus.
- You have experience in working with clients to understand, decompose and help solve their problems and challenges
- You have expertise in one or more of the following fields: Data engineering, Data warehousing, System Architecture, Cloud architecture, Software Engineering, Data Science.
- You have hands-on programming experience with one of the following: Python, Java, C++, C#, Scala.
- Prior experience leading teams will be an advantage.
- You are familiar with and enjoy working in an agile environment.
- You have strong communication and interpersonal skills.
- You are willing to travel to meet with our clients and the team (mainly in Europe - up to 20% of your time).
- You speak fluent French.
What You’ll Do
Unit8 is looking for a Data Engineering Lead to support our new engagements. You will be responsible for collaborating closely with our clients to help them achieve their goals. You will also be working with our engineering team to deliver products and solutions.
- Work with the clients to understand, decompose and help solve their problems using data engineering.
- Maintain high-quality relationships with the key stakeholders.
- Advise clients on the technical solutions and explain different tradeoffs.
- Implement solutions together with an engineering team.
- Present work to stakeholders and top management.
- Help scope and draft proposals for new engagements.
Benefits
What we offer
- Work on client projects that have a concrete impact on their business.
- Exposure to a wide variety of projects, industries, and technologies. Each client is different
- Ability to contribute to internal open-source projects like Darts (https://github.com/unit8co/darts) or building our own MLOps platform.
- Tailor-made mentorship programme.
- Learning activities such as ML and Engineering Knowledge Sharing Groups.
- Up to 10% of paid time for self-development.
- Opportunity to join a fast-growing service company with a start-up atmosphere.
- Work with an international team made of more than 15 nationalities.
- Cross offices/company-wide frequent events (off-site or on-line).
- Fun Fund to spend with the team on after-work activities.
- Compensation package including base salary and profit sharing based on the performance of the company
- Extended parental leave conditions.
