Data Engineer

TechYard
London
1 week ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

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 levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionInformation Technology
  • IndustriesIT Services and IT Consulting and Data Infrastructure and Analytics

Referrals increase your chances of interviewing at TechYard by 2x

Sign in to set job alerts for “Data Engineer” roles.

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 6 days ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 6 days ago

London Area, United Kingdom £250,000.00-£550,000.00 1 month ago

London, England, United Kingdom 1 week ago

Greater London, England, United Kingdom 2 weeks ago

London, England, United Kingdom £60,000.00-£80,000.00 1 month ago

London, England, United Kingdom 3 weeks ago

Greater London, England, United Kingdom 4 weeks ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 1 week ago

Greater London, England, United Kingdom 4 days ago

London Area, United Kingdom £50,000.00-£80,000.00 1 month ago

London, England, United Kingdom £50,000.00-£70,000.00 1 month ago

London, England, United Kingdom 2 months ago

Greater London, England, United Kingdom 1 hour ago

London, England, United Kingdom 6 months ago

London Area, United Kingdom £70,000.00-£90,000.00 21 hours ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 days ago

London, England, United Kingdom 4 months ago

London, England, United Kingdom 1 month ago

City Of London, England, United Kingdom 3 weeks ago

London Area, United Kingdom £70,000.00-£120,000.00 2 hours ago

London, England, United Kingdom 1 week ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Education Jobs

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

Jobs

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Jobs

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.