Senior Data Engineer
Location: London (Hybrid: 2–3 days onsite)
Industry: AI / Data / Analytics
A high-growth, award-winning AI & data analytics scale-up is looking for a Senior Data Engineer to join its core engineering function and help power platforms processing millions of customer insights every day.
This is a chance to work at serious scale, solving complex data problems for enterprise organisations with tens of millions of users, while building systems that directly drive commercial impact.
The Opportunity
You’ll play a key role in designing, building, and scaling cloud-native data platforms that transform vast volumes of raw interaction data into reliable, high-impact intelligence.
Working closely with product, analytics, and engineering teams, you’ll help create fast, resilient, and secure data pipelines that teams across the business depend on daily.
If you enjoy building production-grade data systems, optimising performance under real-world load, and owning platforms end-to-end, this role will suit you well.
What You’ll Be Doing
* Designing and scaling high-performance data pipelines handling millions of data points
* Architecting cloud-native data platforms built for reliability, speed, and growth
* Translating business and analytics requirements into robust technical solutions
* Automating workflows to improve efficiency and reduce operational overhead
* Integrating data systems across multiple products and services
* Monitoring, troubleshooting, and continuously improving system performance
* Proactively identifying and resolving bottlenecks and data quality issues
* Owning documentation for architecture, pipelines, and operational processes
* Evaluating and introducing new tools and technologies as the platform scales
* Championing data security and best-practice governance
What We’re Looking For
* Strong experience building and scaling data platforms and pipelines
* Deep cloud experience (AWS, Azure, or GCP)
* Advanced SQL skills and experience with at least one backend language (Python, Scala, Java, etc.)
* Hands-on experience with data warehouses, ETL/ELT, and distributed systems
* A mindset focused on performance, reliability, automation, and scalability
* Confidence working cross-functionally and owning technical decisions
* Exposure to large-scale analytics platforms such as Snowflake, BigQuery, or Databricks
Why Join?
* Work on cutting-edge AI and data technology at meaningful scale
* Join a fast-growing, profitable business recognised by the Financial Times and industry awards
* Hybrid working model with flexibility and autonomy
* Flat structure where senior engineers have real influence and visibility
* Strong emphasis on personal development, learning, and career progression
* Inclusive, supportive culture with a proven commitment to diversity