SENIOR DATA ENGINEER – AI PLATFORM
* Opportunity for a Senior Data Engineer to join a high-growth AI-powered SaaS organisation in London
* Offering a salary up to £85,000 + strong benefits package including hybrid working and the opportunity to shape production-grade data infrastructure
* Apply online or contact Chelsea Hackett via
WHO ARE WE?
Due to continued growth, we’re supporting an established AI-driven technology organisation that builds scalable data and machine learning platforms for enterprise clients.
The business focuses on transforming complex first-party data into production-ready decision intelligence tools, embedding AI into daily commercial operations rather than delivering one-off projects. As demand grows, they’re expanding their engineering capability to strengthen and scale their data foundations.
THE SENIOR DATA ENGINEER ROLE:
This is a senior, hands-on engineering role focused on building and evolving the structured data pipelines that power AI-driven SaaS products.
You’ll design and maintain high-performance ETL and ELT pipelines across operational and analytical layers, working heavily with SQL and Python-based orchestration. You’ll contribute to schema design, scalable data modelling, and metadata-driven frameworks that enable repeatable, production-ready outputs.
The role also involves CI/CD automation, environment governance, and supporting the integration of machine learning outputs into live production systems. You’ll collaborate closely with Data Scientists and AI Engineers to ensure models are robust, monitored, and embedded into reliable pipelines.
Alongside delivery, you’ll help shape engineering best practice, mentor others in SQL and pipeline design, and strengthen DataOps standards across the wider team.
This position suits someone who enjoys building reusable, scalable infrastructure and wants their work to directly power real-world AI solutions.
SENIOR DATA ENGINEER ESSENTIAL SKILLS:
* 3+ years’ experience in a Data Engineering or platform-focused role
* Strong SQL expertise (T-SQL, PostgreSQL or similar)
* Python for orchestration and data tooling
* Experience building ETL/ELT pipelines in cloud environments
* Strong understanding of dimensional modelling and data architecture principles
* Experience working with CI/CD pipelines and Git-based workflows
* Exposure to Azure, AWS or GCP
* Comfortable collaborating across Product, AI, and Delivery teams
* Strong problem-solving skills and attention to detail
TO BE CONSIDERED:
Please either apply through this advert or email me directly via .
By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only.
KEY SKILLS
Data Engineering, Python, SQL, ETL, ELT, Azure, AWS, GCP, CI/CD, Git, Data Modelling, Cloud Data Platforms, Machine Learning Integration