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For Companies At a Glance
- Tasks: Design and build a cutting-edge data platform for AI and machine learning.
- Company: Innovative UK tech company at the forefront of healthcare and legal technology.
- Benefits: Competitive salary, private healthcare, bonuses, and fully remote work.
- Why this job: Be the first Data Engineer and shape the future of AI in production.
- Qualifications: Strong experience in data engineering, Python, SQL, and Azure platforms.
- Other info: Enjoy real ownership and influence in a dynamic, greenfield environment.
The predicted salary is between 60000 - 84000 £ per year.
We’re hiring a Senior Data Engineer for a UK-based technology company operating at the intersection of healthcare and legal technology. This role exists to build the core data platform that underpins AI and machine learning work. The business is moving beyond fragmented data and needs someone who can design and deliver a structured, secure and compliant data foundation that AI teams can rely on. This is a greenfield role with real ownership.
The Role
- You’ll be responsible for designing and building the company’s first centralised data platform, with a clear focus on enabling AI development rather than analytics or BI.
- Working closely with AI Engineers and MLOps Engineers, you’ll ensure datasets are structured, versioned and reproducible so models can be trained, evaluated, monitored and retrained reliably.
- This role is hands-on and requires someone comfortable making architectural decisions with minimal direction.
What You’ll Be Doing
- Designing and building a greenfield data architecture from scratch
- Creating scalable data pipelines for large, text-heavy and unstructured datasets
- Building ETL/ELT workflows that produce AI-ready datasets
- Implementing dataset versioning, reproducibility and data lifecycle management
- Supporting AI teams with training, validation and test data splits
- Embedding data quality checks, monitoring, lineage and drift detection
- Working closely with MLOps to support model monitoring and retraining
- Ensuring data privacy, security and compliance are built in from day one
- Using infrastructure-as-code and CI/CD practices for data pipelines
What They’re Looking For
- Strong experience as a Data Engineer in production environments
- Strong Python and SQL
- Experience building data platforms that directly support AI or ML teams
- Solid understanding of AI data lifecycles (datasets, versioning, drift, reproducibility)
- Experience with Azure-based data platforms
- Experience with containerisation (Docker, Kubernetes)
- Strong understanding of data governance, lineage and compliance
- Comfortable working independently and making technical decisions
This is not a BI or stakeholder reporting role. They’re not looking for someone focused on dashboards, executive reporting or analytics platforms. The data platform exists primarily to support AI model development and monitoring. Experience working with sensitive or regulated data is important.
Why This Role
- First Data Engineer in the business
- Ownership of tooling, standards and architecture
- Direct influence on how AI is delivered in production
- Opportunity to shape a wider data function over time
If this sounds like something you’d like to explore, feel free to apply or message directly for more detail.
Senior Data Engineer in London employer: Innova Recruitment
Contact Detail:
Innova Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech and healthcare sectors. Let them know you're on the lookout for a Senior Data Engineer role. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects, especially those related to AI and data platforms. This will give potential employers a taste of what you can bring to the table, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Python, SQL, and Azure-based platforms. Practise explaining complex concepts in simple terms, as this will demonstrate your communication skills.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team and contributing to the exciting work we're doing in AI and data engineering.
We think you need these skills to ace Senior Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with data platforms, AI, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about building data platforms and how your experience makes you the perfect fit for this greenfield role. Let us know what excites you about working with AI teams.
Showcase Your Technical Skills: Don’t forget to showcase your technical skills in Python, SQL, and any experience with Azure or containerisation. We’re keen to see how you’ve applied these in real-world scenarios, especially in supporting AI or ML teams.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Innova Recruitment
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of data engineering, especially around AI and ML. Brush up on your experience with Python, SQL, and Azure-based platforms. Be ready to discuss how you've built data architectures that support AI development.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled challenges in previous roles. Think about times when you had to make architectural decisions with minimal direction. This will demonstrate your ability to work independently and make sound technical choices.
✨Understand Compliance and Governance
Since this role involves working with sensitive data, be prepared to discuss your understanding of data privacy, security, and compliance. Highlight any experience you have with data governance and lineage, as these are crucial for the role.
✨Get Familiar with the Company’s Tech Stack
Research the company’s existing technologies and tools. If they use Docker or Kubernetes, for instance, be ready to talk about your experience with containerisation. Showing that you’ve done your homework will impress the interviewers and show your genuine interest in the role.