Data Engineer

TechYard; London; On-site; GBP 60,000 - 80,000; Full time

Benefits offered by this job

Opportunity to work on high-impact projects

Exposure to cutting-edge technologies

Professional growth opportunities

Job summary

A leading technology consulting firm in London seeks a Data Engineer to join its high-impact team. You will collaborate directly with enterprise customers, designing and implementing scalable AI workflows, and support clients throughout the entire implementation lifecycle. Ideal candidates should possess 3–7 years of experience in data engineering, along with strong communication skills. This full-time position offers a collaborative environment with opportunities for professional growth.

Qualifications

• 3–7 years of experience in data engineering or a similar technical role.
• Proficiency in Python, PySpark, and distributed data systems.
• Strong problem-solving skills and the ability to operate autonomously.

Responsibilities

• Collaborate with enterprise customers to understand business context.
• Design and implement scalable generative AI workflows.
• Support customers through the full implementation lifecycle.

Skills

Python

PySpark

Data engineering

Problem-solving

Stakeholder management

Tools

Palantir AIP

Distributed data systems

Job 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
• Professional growth and development through hands-on problem solving and client engagement

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting and Data Infrastructure and Analytics

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