At a Glance
- Tasks: Design and build scalable cloud-native data platforms and pipelines.
- Company: Leading tech SAAS scale-up focused on innovative data solutions.
- Benefits: Up to £150K salary, equity, strong benefits, and high autonomy.
- Other info: Collaborative culture with opportunities for significant career growth.
- Why this job: Shape the future of data engineering with cutting-edge AI technologies.
- Qualifications: Strong experience in data engineering, SQL, Python, and cloud environments.
The predicted salary is between 150000 - 150000 £ per year.
Up to £150K + Equity + Strong Benefits
TECH
AWS | Python | SQL | dbt | Spark | Redshift | Data Warehousing | AI/LLM Context Engineering
We’re partnered with a highly respected, engineering-led technology SAAS scale up building products used by hundreds of thousands of technical professionals globally.
They’re now investing heavily in the next evolution of their data platform - moving beyond traditional reporting pipelines and into AI-ready data systems, context engineering, and decision intelligence.
This is a senior, architecture-focused Data Engineering role with a huge amount of autonomy and influence.
The Opportunity
- This isn’t a “keep the lights on” Data Engineering role.
- You’ll help shape the future state of how data is structured, governed and consumed across the business - designing scalable systems that support analytics, operational decision-making and AI-driven use cases.
- A major focus of the role is building clean, contextualised, well-structured data foundations that can power LLMs, internal AI tooling and agentic workflows.
- You’ll operate as a senior technical voice within a growing Context Engineering function, partnering closely with stakeholders across Finance, People and Technology domains.
- The environment is highly collaborative but gives Engineers genuine ownership over architecture, tooling and delivery decisions.
- What You’ll Be Doing
- Designing and building scalable cloud-native data platforms and pipelines
- Owning architecture decisions across data warehousing, governance and semantic structures
- Building AI-ready datasets and contextual data models for LLM consumption
- Working closely with stakeholders to translate business problems into technical solutions
- Driving best practices around testing, CI/CD, observability and data quality
- Helping define long-term data roadmaps and end-state architecture
- Partnering with analysts and engineers across multiple business domains
- Contributing to a strong feedback and high-performance engineering culture
- What They’re Looking For
- Strong experience as a Senior / Lead Data Engineer in modern cloud environments
- Deep SQL and Python expertise
- Strong architecture and systems design capability
- Experience building scalable AWS-based data platforms
- Strong understanding of data warehousing, governance and semantic modelling
- Comfortable communicating technical concepts to non-technical stakeholders
- Experience working closely with business functions rather than purely isolated engineering teams
- Interest in AI, LLMs, context engineering or agentic systems
- Ideally experience within product-led or Saa S technology businesses
- Bonus Points
- Exposure to reverse ETL tooling
- Experience building data foundations for AI/ML use cases
- Knowledge of GDPR / ISO27001 environments
- Experience with dbt, Glue, Redshift or Spark
Why Join?
- High autonomy and ownership
- Engineering-led culture with strong technical standards
- Complex greenfield architecture challenges
- Real investment into AI and data maturity
- Opportunity to shape how AI is embedded into a global technology business
- Collaborative onsite environment with highly engaged technical teams
If you’re excited by modern Data Engineering, AI context systems and building scalable platforms properly from the ground up - happy to chat.
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Staff Data Engineer employer: Loop Recruitment
Loop Recruitment is an exceptional employer, offering a dynamic hybrid work environment that fosters innovation and collaboration. With a strong commitment to employee growth, you will have the opportunity to mentor junior engineers while working on high-scale platforms for the UK's leading financial services. Join us in London, where our inclusive work culture and focus on technical excellence make every day rewarding and impactful.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Data Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Loop Recruitment!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Staff Data Engineer at Loop Recruitment.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Loop Recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like Staff Data Engineer at Loop Recruitment, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Staff Data Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Loop Recruitment, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Loop Recruitment. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Loop Recruitment
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Loop Recruitment!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
