Daltix is enabling retailers & suppliers to make decisions based on data rather than gut-feeling and for that it’s built up significant experience in how to collect data but also how to transform it in order to support decision making. To this end we’re looking for a big data consultant who’ll aid some of the biggest names in the industry (don’t take our word for it, check our website) in becoming truly data-driven.
This position is ideal for people who want to apply their (big) data expertise in a very impactful customer facing role.
You'll be part of our professional services squad which mixes IT, business, retail and project management to install and configure our products as well as train our clients’ teams. Once that’s done, we work hand-in-hand with them to adopt the product and generate optimal value with it.
At Daltix we have a set of core data collection and processing systems that make up the cutting-edge Data Lakes and Data Warehouses which are the lifeblood of the Daltix data pipeline. However, we don't deliver data directly to our clients from these core systems. We work with them and apply our data know-how to get the most value out of our products as we can.
The role consists of various tasks such as:
Being part of the professional services team you'll be working with very big retailers & retail suppliers and will learn how they look at data as well as the struggles they face in becoming data-driven.
On another level, you’ll have the opportunity to work with a set of seasoned professionals that have decades of experience in web scraping, data science, cloud architecture, and full stack development. Each area of the technical team is made up of members that have been there and done that in some of the hottest fields out there. This team combined with a bleeding edge stack build on AWS, Snowflake, Airflow, Looker and many others make this position one of potential, learning, and growth.
We expect you to be a strong communicator who can clearly communicate with our customer success managers as well as with the engineering part of the company. Furthermore you’ll need SQL skills to extract data from our Snowflake data warehouse as well as Python & pandas skills to transform & analyse data.
Having worked with Amazon Web Services, Airflow & Looker would be a big plus but are not a strict requirement provided you're a fast learner.