Senior Solutions Engineer
About The Position
Our US client portfolio is evolving rapidly, and not just in scale, but in complexity and expectation. We partner with enterprise retailers and high-growth mid-market organisations who rely on us to design and deliver robust, scalable, and insight-led data platforms. Increasingly, these platforms sit at the heart of AI-enabled decision-making, and our clients expect senior technical leaders who can both engineer and influence. This is a hybrid role that blends hands-on engineering, solution architecture, and senior stakeholder engagement. You’ll operate as a trusted technical partner to our clients — shaping solutions, guiding delivery, and ensuring our platform evolves to meet the demands of modern, AI-driven data ecosystems.
Requirements
- Proven experience working within a data engineering tech stack.
- Confident with delivering complex, large-scale data solutions across multiple stakeholders.
- Advanced proficiency in T-SQL and Python.
- Hands-on experience with Databricks and modern cloud data ecosystems.
- Background in solution architecture and designing production-grade data platforms.
- Confident in client-facing environments, with the ability to influence senior stakeholders.
- Comfortable operating in fast-paced, evolving environments with ambiguity.
Nice To Haves
- Experience building or enabling data platforms that support AI / ML use cases.
- Exposure to additional tools, frameworks, or languages that enhance modern data solutions.
Responsibilities
- Take ownership of the end-to-end solution lifecycle; from shaping technical approaches through to delivery and optimisation.
- Lead the design and evolution of our cloud-native data platform, ensuring scalability, resilience, and readiness for AI use cases.
- Architect and build end-to-end data solutions, including large-scale pipelines for analytics and advanced data applications.
- Act as a senior technical advisor to US-based clients, translating business needs into pragmatic, scalable solutions.
- Own delivery across complex, multi-stakeholder environments, balancing speed, quality, and long-term platform sustainability.
- Partner with clients to navigate ambiguity, prioritise effectively, and drive outcomes, identifying and mitigating technical and delivery risks early.
- Champion best practices across data quality, governance, security, and reliability.
- Evaluate and introduce emerging tools and technologies to improve performance and accelerate delivery.
- Coach and mentor engineers, fostering a high-performing, collaborative engineering culture.
- Work closely with Product, Delivery, and Customer Success teams to shape and execute solutions.
- Establish and uphold engineering and architectural standards across projects.
- Contribute to hiring and developing engineering talent as the team scales.
- Act as a bridge between commercial, product, and technical teams, ensuring alignment and clarity.
Benefits
- Hybrid work model (typically 2 days in the office) with flexibility based on business needs.
- Work from anywhere policy.
- 25 days annual leave (+ bank holidays), increasing with length of service.
- Extra day off for your birthday.
- Summer hours.
- Access a vast range of courses through our learning platform.
- Structured career progression plans.
- Private Medical Insurance.
- A healthcare cash plan.
- Mental health support via Help@Hand.
- Workspace assessment for a safe and productive home setup.
- Paid volunteer days.
- Donate to your chosen charity through salary sacrifice (company will match).
- Give as You Earn.
- Car purchase scheme.
- Access to additional benefits through our online platform, including gym discounts.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
