Data Engineer
Deploys and integrates generative AI workflows and data pipelines for enterprise clients using PySpark and Palantir AIP, bridging product capabilities with customer success.
- Compensation
- £250K–£550K / yr
- Location
- London, United Kingdom
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 3+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 3–7 years of experience in data engineering, client-facing implementation, or a similar technical role
- Proficiency in Python, PySpark, and distributed data systems
- Familiarity with modern AI/ML platforms, especially in applied enterprise contexts
- Strong problem-solving skills and the ability to operate autonomously in complex environments
- Excellent communication and stakeholder management skills
- Experience working directly with enterprise clients is highly preferred
Full description
Direct message the job poster from TechYard
Delivery Consultant @ TechYard | Business Consulting | Data | AI
We are seeking a Data Engineer/ Forward Deployed Data Engineer to join our high-impact team. This role is ideal for professionals who are passionate about leveraging technology to deliver strategic outcomes for large enterprises. As a key member of our client delivery organization, you will play a critical role in deploying our platform within complex customer environments, working closely with stakeholders to drive measurable business value.
Key Responsibilities
- Collaborate directly with enterprise customers to understand business context, objectives, and technical requirements
- Adapt and deploy our platform to address specific customer needs, ensuring alignment with strategic goals
- Design and implement scalable generative AI workflows using technologies such as Palantir AIP
- Lead data integration initiatives using PySpark and other distributed data frameworks
- Deliver high-quality, tailored solutions that bridge the gap between product capabilities and customer success
- Support customers through full implementation lifecycle, including scoping, configuration, and rollout
What Sets This Role Apart
This position sits at the convergence of enterprise software delivery and customer success. Rather than shipping generic tools, our model emphasizes a deep partnership with each client. We believe the implementation layer — where platform meets process — is where lasting value is created.
Our approach reflects a modern, services-led growth model in B2B SaaS. Engineers in this role are not just technologists — they are trusted advisors who help clients achieve transformation through data and AI.
Qualifications
- 3–7 years of experience in data engineering, client-facing implementation, or a similar technical role
- Proficiency in Python, PySpark, and distributed data systems
- Familiarity with modern AI/ML platforms, especially in applied enterprise contexts
- Strong problem-solving skills and the ability to operate autonomously in complex environments
- Excellent communication and stakeholder management skills
- Experience working directly with enterprise clients is highly preferred
What You’ll Gain
- The opportunity to work on high-impact projects with leading global organizations
- Exposure to cutting-edge technologies in generative AI and advanced analytics
- A collaborative, fast-paced environment focused on excellence, innovation, and execution