Senior Professional Services Data Engineer

Verix is a leading provider of advanced AI-driven solutions for optimizing pharma commercial operations. Through it’s proprietary AI/ML Tovana platform, Verix seamlessly integrates diverse data sources to deliver predictive, real-time business insights that enhance both strategy development and execution for the worlds leading life science organizations.

We are looking for a talented and motivated Senior Professional Services Data Engineer, to join our professional services team that develops and delivers Advanced Analytics solutions to large international Life Science customers.

If you have at least 5 years of experience with a focus on strong SQL skills, ETL development, experience with large-scale datasets and you are looking to play a significant role in a growing team - This job is for you!

Responsibilities:

• Implementing requirements into an effective analytic solution (both AI and BI based solutions)
• Carrying out processes of extract-transform-load (ETL), reporting, query, and analysis
• Defining data schemas according to business needs
• Solving complex and technical challenges required by our customers

Requirements:

• 3-5 years of professional experience as senior data engineer
• Ability to work independently and provide solutions for design and implementation
• High level of written and spoken English
• Extensive experience in DWH and BI architecture, SQL development, ETL and databases in a business environment with large-scale, complex datasets
• Experience in data analysis and exploration
• Excellent analytical and problem-solving skills, business analytical orientation and mindset
• Experience in Python development – an advantage
• Experience in front-end / user interface of data products a plus
• Experience with Redshift DB – an advantage
• Experience in life science and pharmaceutical implementations – an advantage
• Independent, hard worker, fast learner & team player
• Bachelor’s degree in computer science, industrial engineering, or equivalent field