Data Engineering Lead

2 days ago

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Unit8

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Unit8 is a leading Swiss data services and consulting company with a mission to help non-digital native companies turn data into value with a mix of data science, analytics and AI. We operate at the intersection of technology and business to accompany our customers at every step of their data & AI journey. Based in Switzerland, operating across Europe.

Big data • AI • Artificial Intelligence • Software Engineering • Product Design

51 - 200 employees

💰 Private Equity Round on 2022-12

📋 Description

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 100+ 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

Are You the team member we are looking for? • 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. • You are familiar with and enjoy working in an agile environment. • You have strong communication and interpersonal skills. • Fluent English and German is a must. • Readiness to travel up to 10-15% of your time.

🏖️ 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. • In 2025, we will not have any office in Germany, so it will be remote work. From 2026, we expect employees to work in a coworking space 1-2 days every two weeks. • 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