Data Engineer

 

Role and responsibilities

As a Data Engineer, you will be working to develop and automate innovative algorithms and data pipelines to power our Artificial Intelligence platform. Our technology and future developments are focused around using AI to revolutionise how we target, predict and unlock new drugs and preventative molecules for various diseases.

In addition to this, the other responsibilities will cover areas such as:

• Responsible for building and maintaining the data pipelines that feed our machine learning models and knowledge bases
• Strong collaboration with our AI experts to design systems for feature engineering

Qualifications & Experience

• MS from a top-tier institution or globally recognized program in Computer Science or PhD in computer science/Maths/statistics or related fields
• 5+ years of professional hands-on experience as a data engineer
• Understanding of a range of data storage technologies for structured and unstructured data
• Database design experience
• Experience with data pipeline scheduling technologies (e.g. Airflow, Luigi)
• Between 5-7 years of experience in software development is required
• Fluency in scripting languages, Python is a big plus
• Experience in Git version control systems is preferred
• Experience working with large amounts of data
• Excellent algorithm design skills and data structure knowledge
• Proven ability to work creatively and analytically in a problem-solving environment
• Motivated and pro-active, interested in addressing complex challenges in computer science
• Dream to work in a rapid pace, growing and dynamic company, startup experience as a plus

How to apply

Submit your CV and Cover letter in a PDF format to [email protected]