Senior Solutions Engineer (Technical, Presales, Data & AI, DNB)

About This Opportunity

We are representing a confidential data and AI platform company in their search for a Senior Solutions Engineer based in London. This is a technical presales role for someone who can code, architect, and present—combining hands-on engineering skills with customer-facing expertise to drive platform adoption.

As a Senior Solutions Engineer, you will independently lead technical engagements with customers, owning discovery, solution design, and platform demonstrations. You'll work closely with account teams to develop technical strategies that expand platform usage and drive business outcomes.

Responsibilities

• Independently lead technical discovery and solution design for customer workloads spanning data engineering, analytics, and machine learning
• Build and deliver compelling proofs-of-concept and live demonstrations that drive technical wins
• Own frontline technical relationships with customer engineers, data teams, and technical leads
• Develop account-level technical strategies in partnership with sales teams to grow platform consumption
• Navigate competitive landscapes by articulating platform differentiation through hands-on demonstrations
• Contribute reusable technical assets including notebooks, solution accelerators, and reference architectures to the broader solutions community

What We're Looking For

Required Qualifications:

• 4+ years in data engineering, solutions architecture, technical presales, or a hands-on consulting role
• Proficient in Python and SQL with demonstrated ability to debug, optimize, and write production-quality code—live coding is a required interview stage
• Hands-on experience designing and implementing data solutions on at least one public cloud platform (AWS, Azure, or GCP)
• Working knowledge of distributed data systems: Apache Spark, Delta Lake, or equivalent technologies (Hadoop, Kafka, Flink)
• Experience leading technical customer conversations—discovery, whiteboarding, and architecture reviews
• Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics
• Strong presentation and demo skills—you will build and present a live solution during the interview process
• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)

Nice to Have:

• Platform-specific certifications or hands-on experience with lakehouse architectures
• Experience with data governance, declarative pipelines, or MLOps frameworks
• Background at a data/AI company, cloud provider, or technical consulting firm

How We Work With You

When you apply through Get A Job.ai, our talent team will review your profile and conduct an initial screening. If there's a strong match, we'll prepare and submit your candidacy to our client. The client's interview process includes: Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch Presentation → Reference Check.

Please do not contact the client directly—all communication and coordination will flow through Get A Job.ai to ensure the best candidate experience.

Pay

Compensation details will be discussed during the screening process based on experience and qualifications.

Equal Opportunity

Get A Job.ai is committed to inclusive hiring practices. We evaluate all candidates without regard to age, color, disability, ethnicity, gender identity or expression, national origin, race, religion, sexual orientation, veteran status, or other protected characteristics.