Client-Facing Data Solutions Engineer

Data Science Festival; Greater London; On-site; GBP 50,000 - 70,000; Full time

Job summary

Data Science Festival is seeking a Sales Engineer in Greater London. The role focuses on delivering impactful data-driven solutions by engaging directly with clients and building scalable data products.

Ideal candidates will have strong expertise in Python and SQL, with a proven background in data engineering or analytics. You'll work collaboratively to bridge the gap between technical and non-technical stakeholders, addressing complex business needs.

If you enjoy dynamic environments and solving real-world problems with data, we want to hear from you!

Qualifications

• Proven experience in a data engineering, analytics, or solutions architecture role.
• Strong proficiency in Python and SQL.
• Ability to translate complex technical concepts into business-friendly language.
• Excellent client communication skills, with a track record of successful delivery in consulting or professional services.

Responsibilities

• Engaging directly with clients to understand their business problems and technical constraints.
• Building prototypes and production-grade systems using Python, SQL, and modern cloud platforms.
• Supporting deployment and integration of solutions within client environments.
• Acting as a trusted advisor, helping clients understand the impact and value of data solutions.

Skills

Data engineering

Analytics

Solutions architecture

Python

SQL

Client communication

Tools

AWS

GCP

Azure

Job description

Data Science Festival is seeking a Sales Engineer in Greater London. The role focuses on delivering impactful data-driven solutions by engaging directly with clients and building scalable data products.

Ideal candidates will have strong expertise in Python and SQL, with a proven background in data engineering or analytics. You'll work collaboratively to bridge the gap between technical and non-technical stakeholders, addressing complex business needs.

If you enjoy dynamic environments and solving real-world problems with data, we want to hear from you!