Data Solutions Engineer

1 month ago

London, Greater London, United Kingdom GT Nexus Full time

As a key contributor to the Go To Market team at GT Nexus, you will be the technical content solutions engineer responsible for deeply understanding your client's data content needs and creating solutions that exceed their expectations. Working with sales counterparts, you'll help acquire new customers, expand relationships, and drive market share and revenue growth.

You will be the go-to engineer for clients able to address their challenges and opportunities by applying your expertise working with financially relevant data content. You will use your experience in data engineering and integration to lead technical discovery workshops, design custom solutions, and help prospects validate those solutions against their required capabilities.

In addition to new business acquisition, you will also be responsible for bringing the knowledge you gain from interacting with customers back to our product and engineering teams to help guide our roadmap. You will be very influential to the company's future success by helping to identify, build out, and refine the processes and tools that will allow for repeatability and scale as we grow.

You know how quants use data to drive improved investment performance. You stand as the technical liaison, collaborating with sales, marketing, and data engineering teams to develop customized presentations, demos, prototypes, and trials.

Contribute to sales scripts, lead customer discovery, implement pilots, share knowledge expertise, and guide solution development/deployment. Develop functional and technical data engineering specifications for client quotes and contracts.

Manage client pilots, ensuring that they are engaged with the data sets, the pilot, and moving toward winning solution. Educate technical and architectural concepts to a variety of audiences, including data engineers, developers, and sales.

Keep current on Crux platform and data engineering releases and new features, assist in training new hires and colleagues. Document and deliver both product feedback and new requirements from the field.

7-10+ years financial services investment process and pre-sales experience. Experience successfully demonstrating and articulating the value of a platform approach to data engineering within financial services.

Proficiency in Python and SQL programming. Savvy presentation and demonstration skills, fluidly translating complex data and technology concepts. Passion for data and analytics, a philosophy of using technology to help solve business problems.

Curiosity to learn and assimilate data content and technical information quickly, enthusiasm to share and teach others. Available for 25% travel.

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