We are looking for a Delivery oriented Solutions Engineer.
Are you passionate about managing customer-centric projects and adept at simplifying complex topics for a broad audience? Do you enjoy managing and transforming data, such that it forms the basis for valuable insights? If so, this presents an unparalleled opportunity to join the vanguard of our tech team. Our mission is to combine innovative software, machine learning, and neuroscience to combat gambling addiction.
In our quest to expand and enhance our offerings, we are on the lookout for a self-motivated and inventive Solutions Engineer. This role is a perfect fit for those eager to engage in a variety of tasks related to data engineering, customer implementations, ML, and software development. If you're seeking a pivotal position at the core of an innovative organization, where the integrity of our customer data are foundational to our success, this role could mark the next milestone in your career.
About the role
As a Solutions Engineer, you will assume responsibility for our customer data integrations, ensuring seamless and consistent data flow through our transformation layers. This role demands a comprehensive understanding of our data platform and its requirements for on-demand ML evaluations. Rapidly, you'll find yourself at the organization's core, significantly influencing our short-term priorities and customer implementation strategy. Balancing multiple responsibilities effectively will be key, akin to a skilled juggler who keeps multiple balls in the air at the same time, ensuring nothing falls through the cracks as we strive forward on our fight against gambling addiction.
Your responsibilities
- Building and optimising our data pipelines and the data integration process, to ensure optimal utilization of the data.
- Leading customers through our Tech sales funnel, handling demos, pilots, workshops and mock solution setups. Taking ownership of that process and necessary materials.
- Delivering on consultancy based customer data related requests.
- Participating in and contributing to design ideas, innovation, code reviews and most importantly objective and constructive discussions.
- Developing and improving on our ML models and software solutions.
