Data Engineer (Zurich, Switzerland) at Unit8 SA

Zurich, Zurich, Switzerland -

Full Time

Start Date

Immediate

Expiry Date

01 Mar, 26

Salary

0.0

Posted On

01 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Data Governance, Data Access, Data Storage, Distributed Systems, Spark, Client-Facing Skills, Problem-Solving, Agile Methodologies, Data Pipelines, Data Processing, Collaboration, Optimization, Testing, Tooling

Industry

IT Services and IT Consulting

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 150+ talented individuals across 6 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 to improve manufacturing throughput. 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 About You As a member of agile project teams, your mission will be to build solutions and infrastructure aiming at solving the business problems of our clients. You are a proficient software engineer who knows the fundamentals of computer science and you master the Python programming language. You know how to write distributed services and work with high-volume heterogeneous data, preferably with distributed systems such as Spark. You are knowledgeable about data governance, data access, and data storage techniques. You have strong client-facing skills: comfortable interacting with clients (business & technical audience), delivering presentations, problem-solving mindset. You are willing to travel to meet with our clients and the team (mainly in Europe - up to 10% of your time). You are fluent in English. What You’ll Do Design, build, maintain, and troubleshoot data pipelines and processing systems that are relied on for both production and analytics applications, using a variety of open-source and closed-source technologies. Help drive optimization, testing, and tooling to improve data quality. Collaborate with other software engineers, ML experts, and stakeholders, taking learning and leadership opportunities that will arise every single day. Work in multi-functional agile teams to continuously experiment, iterate and deliver on new product objectives. 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. 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.

Responsibilities

Design, build, maintain, and troubleshoot data pipelines and processing systems for production and analytics applications. Collaborate with other engineers and stakeholders to continuously experiment and deliver on new product objectives.