Data Engineer Team Leader (hands-on)
Verix provides AI-based solutions to commercial Life Science organizations, leveraging our proprietary advanced analytics platform that enables quick building of data-driven applications.
Our customers are the largest Life science Companies using our solutions for their commercial operations business challenges.
We are looking for a talented and motivated PS Data Engineering Team leader, 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, and experience with large-scale datasets and you are looking to play a significant role in a growing team – This job is for you!
>Working directly with customers, understanding their business needs, managing requirements and delivery commitments
> 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
> Hands-on delivery while leading a small professional services data engineering team
> 5-8 years of professional experience as senior data engineer / team lead
> Experience in leading analytic solutions implementations for external customers abroad – a MUST
> 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