At a Glance
- Tasks: Architect world-class data infrastructure and drive innovation in a fast-growing SaaS company.
- Company: Join Loop Recruitment, a dynamic SaaS scale-up with big ambitions.
- Benefits: Earn up to £100,000 plus private health and an 8% pension.
- Other info: Thriving environment with opportunities for professional growth and development.
- Why this job: Shape impactful products and be a key player in data-driven innovation.
- Qualifications: 2+ years as a Senior/Lead Data Engineer with expertise in SQL and Python.
The predicted salary is between 72000 - 100000 £ per year.
Up to £120K + 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 business 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 capabilityExperience 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 SaaS technology businesses
Bonus Points
- Experience supporting Finance, People or Technology business domains
- 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.
Senior Data Engineer employer: Loop Recruitment
At Loop Recruitment, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. As a Senior Data Engineer, you'll enjoy a competitive salary of up to £100,000, alongside flexible benefits including private health and an 8% pension contribution. Join our fast-growing SaaS scale-up where your contributions will directly impact global customers and where ample opportunities for professional growth and development await you.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. A personal recommendation can go a long way in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving SQL, Python, and cloud environments. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process and how you've tackled complex problems in the past—this is your chance to shine!
✨Tip Number 4
Don't forget to apply through our website! We love seeing passionate candidates who are eager to join our team. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your expertise in SQL, Python, and any relevant data engineering projects you've managed. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data and explain why you're excited about the opportunity at Loop Recruitment. Let us know how your experience aligns with our mission to drive data-driven innovation.
Showcase Your Projects:If you've worked on any impressive data pipelines or re-architecture projects, make sure to mention them! We love seeing hands-on experience, especially in modern cloud environments like AWS. It helps us understand your practical skills better.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any updates. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at Loop Recruitment
✨Know Your Tech Inside Out
Make sure you brush up on your SQL, Python, and any relevant data engineering tools like dbt and AWS Glue. Be ready to discuss your hands-on experience with building scalable data pipelines and managing re-architecture projects. The more specific examples you can provide, the better!
✨Showcase Your Problem-Solving Skills
Prepare to talk about complex problems you've tackled in the past. Loop Recruitment is looking for someone who can thrive independently and take ownership of ambiguous challenges. Think of a few scenarios where you’ve successfully navigated tricky situations and be ready to share those stories.
✨Communicate Like a Pro
Strong communication skills are key! Practice explaining technical concepts in a way that non-technical stakeholders can understand. This will show that you can build strong relationships and align with various teams, which is crucial for a Senior Data Engineer role.
✨Demonstrate Your Passion for Data
Let your enthusiasm for data and emerging technologies shine through. Talk about any personal projects or continuous learning efforts you've undertaken. Showing genuine interest in best practices and innovation will resonate well with the interviewers at Loop Recruitment.
