Data Engineer – People Insights EMEA at Roche Kenya

People and Culture vision is built on the premise that what makes companies great is people, and analytics is able to unlock their full potential. We wish to unleash exponential people & business impact through data driven decisions, surfacing insights and embracing cutting-edge technology.

As a People and Culture Data Engineer, your work will impact the way Roche functions throughout our candidate and employee lifecycle.  Your work will impact every facet of our quest to cure and treat diseases for our patients and you will personally help shape and define this journey. If you are interested in helping us transform into a more diverse, transparent, inclusive, collaborative and agile team – this role is for you.

We are looking for a Data Engineer to work on our impactful and dynamic team. This Data Engineer will work closely with other Data Scientists, Data Engineers, Business Intelligence Developers, Insights Partners and Product Owners to deliver products to our employees including the most senior leaders.  Key technical role in the design and build of data management systems and data pipelines related to advanced analytics and data science platforms.

Key Responsibilities:

• Develop and maintain scalable data pipeline(s)
• Build new API integrations
• Design data integration and framework
• Work closely with data governance and technology practice areas
• Understand and maintain data schemas and architectures
• Choose proper storage technologies to drive both Data Science and Applications
• Understand and architect ETL processes
• Architect and maintain analytics data lake/warehouse
• Architect and build front-end applications
• Synthesize requirements from non-technical stakeholders

Qualifications, Skills & Knowledge:

Required:

• AWS (S3, EC2, Glue)
• RDBMS and NoSQL technologies
• Python
• Production software development experience (git, testing, code reviews)
• Production Deployment of Machine Learning models
• Javascript (Vue.js)

Familiar (and willingness to learn more of):

• Docker
• CSS
• HTML

Preferred experience & background:

• 5 to 10 years experience in the data engineering field, with strong analytical, solution architecting and design skills / background.
• University degree in Computer Science or comparable education.