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For Companies At a Glance
- Tasks: Collaborate with clients to implement data solutions and drive business value.
- Company: Join TechYard, a leader in data and AI consulting.
- Benefits: Competitive salary, professional growth, and exposure to cutting-edge technologies.
- Why this job: Make a real impact by transforming businesses through data and AI.
- Qualifications: 3-7 years in data engineering and strong skills in Python and PySpark.
- Other info: Dynamic environment focused on innovation and client success.
The predicted salary is between 42000 - 84000 £ per year.
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.
Data Engineer in London employer: TechYard
Contact Detail:
TechYard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Don't just apply and wait! Reach out directly to the job poster on LinkedIn or other platforms. A quick message can make you stand out and show your enthusiasm for the role.
✨Tip Number 2
Network like a pro! Connect with current employees at TechYard or similar companies. They can provide insider info and might even refer you, which can double your chances of landing an interview.
✨Tip Number 3
Prepare for the interview by understanding the company’s tech stack and recent projects. Show them you’re not just a data engineer but a problem solver who can adapt their platform to meet client needs.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team and ready to dive into the exciting work we do.
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Data Engineer role. Highlight your experience with Python, PySpark, and any client-facing projects you've worked on. We want to see how your skills align with our needs!
Showcase Your Problem-Solving Skills: In your application, share specific examples of how you've tackled complex data challenges in the past. We love seeing candidates who can think critically and adapt to different environments, so don’t hold back!
Communicate Clearly: Since this role involves working closely with stakeholders, it's crucial to demonstrate your communication skills. Use clear and concise language in your application to show us you can convey technical concepts effectively.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at TechYard
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Python and PySpark. Brush up on your knowledge of distributed data systems and be ready to discuss how you've used them in past projects.
✨Understand the Business Context
Since this role involves working closely with enterprise clients, it’s crucial to understand their business objectives. Research the company and think about how your technical skills can help them achieve their goals. Be prepared to share examples of how you've done this before.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you overcame them. This will demonstrate your ability to operate autonomously in complex environments, which is key for this position.
✨Communicate Effectively
Strong communication skills are essential for this role. Practice explaining technical concepts in simple terms, as you’ll need to collaborate with stakeholders who may not have a technical background. Think of ways to illustrate your points clearly during the interview.
