Senior Data Engineer

Cambridge
3 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer - (Python & SQL)

Senior Data Engineer - (Python & SQL)

Senior Data Analyst

Junior / Graduate Data Scientist

Lead Data/Head of Data Engineer

Lead Data Engineer

Do you you enjoy working closely with a tight-knit team?
Do you want to work in a business where making a difference is at the heart of their goals?

I’m supporting a rapidly scaling medical technology innovator in their search for a Senior Data Engineer to help design and build a next-generation unified lakehouse platform on Databricks. This is a fantastic opportunity for a product-minded engineer who wants to apply solid software engineering principles to build trusted, discoverable, and scalable data products - ultimately empowering every team across the organisation to make confident, data-driven decisions.

You’ll be working at the heart of a mission-driven company developing groundbreaking surgical robotics technology. Your work will help unlock innovation, improve data accessibility, and support teams working to bring life-changing medical technology to more patients.

Alongside impactful work, you’ll join a supportive and collaborative environment that values continuous learning, professional development, and technical excellence.

Key Responsibilities:

Playing a key role in shaping the foundations of a Databricks-based lakehouse platform - designing how the catalogue is structured, defining core dimensions/facts, and ensuring the platform is discoverable and useful across the business.
Writing clean, performant Python, SQL, and working confidently with Spark/PySpark.
Integrating third-party tools, connectors, and SaaS data sources into a cohesive data ecosystem.
Owning software components end-to-end: from idea, to build, to production (ensuring reliability and maintainability).
Championing continuous improvement and modern engineering practices.
Working closely with cross-functional stakeholders to turn real-world problems into elegant data solutions.
Producing clear, concise technical documentation.
Adapting within a fast-evolving environment and contributing across the data remit wherever needed.About You:

Have hands-on experience building Databricks lakehouse architectures and are excited by shaping foundational data infrastructure.
Understand how to engineer data platforms for trust, scalability, and discoverability, not just produce pipelines.
Are confident with Databricks, AWS, and the modern data stack.
Enjoy fast-paced, iterative delivery and creating user-friendly, value-driven outcomes.
Collaborate naturally, share ideas openly, and learn from those around you.
Are adaptable, curious, and motivated by continuous improvement and learning.
Bring strong experience in data engineering, particularly in greenfield or scaling environments (or equivalent).
Embrace “data as a product” thinking - ensuring datasets have clear purpose, documentation, quality checks, version control, and measurable value.
Think like a seasoned engineer: Git, CI, modular code, automated tests, alerting, and clean architecture are second nature.
Are excited to establish foundational patterns that others will follow.Why This Role Matters You’ll be joining a company that is building world-class medical technologies and breaking new ground in robotic surgery. The work is meaningful, the teams are supportive, and the opportunities for impact and growth are huge.

What are the benefits?:

Competitive basic salary
Medical cover 
Death in service
Additional Pension contribution
Keen to express your interest, or find out more?
Option 1: Click the apply button (don’t worry, we’ll discuss your CV before submitting)
Option 2: Call in to the SoCode Cambridge office and ask for Rachel
Option 3: Drop me a message on LinkedIn (Rachel Bush – SoCode Recruitment)

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.

Careers

How Many Robotics Tools Do You Need to Know to Get a Robotics Job?

If you’re pursuing a career in robotics, it can feel like the list of tools you should learn never ends. One job advert asks for ROS, another mentions Gazebo, another wants experience with Python, Linux, C++, RobotStudio, MATLAB/Simulink, perception stacks, control frameworks, real-time OS, vision libraries — and that’s just scratching the surface. With so many frameworks, languages and platforms, it’s no wonder robotics job seekers feel overwhelmed. But here’s the honest truth most recruiters won’t say explicitly: 👉 They don’t hire you because you know every tool — they hire you because you can apply the right tools to solve real robotics problems reliably and explain your reasoning clearly. Tools matter — but only in service of outcomes. So the real question isn’t how many tools you should know, but which tools you should master and why. For most robotics roles, the answer is significantly fewer — and far more focused — than you might assume. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable, confident, and ready to contribute from day one.

Jobs

What Hiring Managers Look for First in Robotics Job Applications (UK Guide)

Robotics is one of the most dynamic, interdisciplinary fields in technology — blending mechanical systems, embedded software, controls, perception (AI/vision), modelling, simulation and systems integration. Hiring managers in this space are highly selective because robotics teams need people who can solve real-world problems under constraints, work across disciplines, and deliver safe, reliable systems. And here’s the reality: hiring managers do not read every word of your CV. Like in many tech domains, they scan quickly — often forming a judgement in the first 10–20 seconds. In robotics, those first signals are especially important because the work is complex and there’s a wide range of candidate backgrounds. This guide unpacks exactly what hiring managers look for first in robotics applications and how to optimise your CV, portfolio and cover letter so you stand out in the UK market.

Education

The Skills Gap in Robotics Jobs: What Universities Aren’t Teaching

Robotics is no longer confined to science fiction or isolated research labs. Today, robots perform critical tasks across manufacturing, healthcare, logistics, agriculture, defence, hospitality and even education. In the UK, businesses are embracing automation to improve productivity, reduce costs and tackle labour shortages. Yet despite strong interest and a growing number of university programmes in robotics, many employers report a persistent problem: graduates are not job-ready for real-world robotics roles. This is not a question of intelligence or dedication. It is a widening skills gap between what universities teach and what employers actually need in robotics jobs. In this article, we’ll explore that gap in depth — what universities do well, where their programmes often fall short, why the disconnect exists, what employers really want, and how you can bridge the divide to build a thriving career in robotics.

🍪 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.