Join us as a Senior Data Engineer to build scalable pipelines that turn millions of customer insights into high-impact, business-driving intelligence.
The Opportunity:
We’re looking for a Senior Data Engineer to help power data platforms that process millions of customer insights every day. You’ll design and scale the systems that turn massive volumes of raw data into reliable, high-impact intelligence used across the business.
You’ll partner with product, analytics, and engineering teams to build fast, resilient, and secure data pipelines at scale. If you love solving hard data problems, optimising systems under real-world load, and building platforms that teams depend on every day—this role’s for you.
Key Responsibilities
- Build and scale high-performance data pipelines that process millions of customer data points
- Architect cloud-native data platforms designed for reliability, speed, and growth
- Translate business and analytics needs into production-grade data solutions
- Automate workflows to keep data flowing smoothly and reduce operational overhead
- Integrate data systems across new and existing products and services
- Monitor, troubleshoot, and continuously improve platform performance and reliability
- Identify and eliminate performance bottlenecks and data quality issues before they impact customers
- Own documentation for architecture, pipelines, and operational playbooks
- Evaluate and introduce best-in-class tools and technologies as we scale
- Champion data security and act in line with ISMS responsibilities to protect customer data
What we’re looking for:
- Deep experience building data platforms and pipelines at scale
- Strong cloud experience (AWS, Azure, or GCP)
- Expertise in SQL and at least one backend language (Python, Scala, Java, etc.)
- Hands-on experience with data warehouses, ETL/ELT, and distributed systems
- A mindset for performance, reliability, and automation
- Confidence working cross-functionally and owning technical decisions
- Exposure to large-scale analytics platforms (e.g., Snowflake, BigQuery, Databricks)
Benefits
About Intent
You leave a trail behind you every day — and it says more about what you will do next than anything you have told a company directly. Your phone registers when you fall asleep and when you wake. Your mobile network notices your commute. Your browser remembers that you wandered onto a competitor's site last Tuesday — and the Tuesday before that. You move through the world, and the world quietly takes notes.
Most companies lose the detail. A large mobile network generates hundreds of billions of events every single day — too expensive to keep in raw form. So your rich, specific, wonderfully complicated life gets compressed into an average. You become “males 25–34 in the southeast who browsed upgrades.” A bucket. A segment. And then that bucket gets blasted with messages — because when you cannot tell what someone actually wants, the only strategy left is frequency. Send more, send often, hope something lands.
We built something different. Intent runs two types of intelligence in parallel. Our cloud engine reads billions of events a day — weblogs, payments, app signals, CRM records — and finds behavioural sequences: chains of small actions that unfold in a recognisable order before someone switches, upgrades, or leaves. Our on-device Edge AI sits directly on the phone, reading 16,000 signals and distilling them into 750 insights about your current state — without any of that information ever leaving the device.
We manage over 300 million customer profiles. We underpin $115 billion in customer value. We hold 49 patents in behavioural AI, privacy architecture, and on-device intelligence. We were named AI Business of the Year 2025. And Verizon — with large data science teams of its own — has been our customer for seven years, because what we have built over a decade of patents, learning, and rigorous product development cannot be easily replicated.
Our Team
Around 110 people and growing, based across London, Barcelona, Lisbon, New York, and Tel Aviv. Engineers, data scientists, product designers, and commercial minds who collectively speak over 15 languages. United by a single conviction: when you understand human behaviour properly, relevance follows — and when relevance follows, so does value.
Why Join Intent
Work that matters at genuine scale.
Our clients have tens of millions of customers and billions of interaction events each day. You will not be optimising a landing page — you will be shaping how the world's largest enterprises understand and serve their customers.
Category-defining technology.
49 patents. An AI that reads 16,000 behavioural signals directly on your phone — data never leaves. A cloud engine that digests 250 billion events a day and delivers fresh intelligence in under 120 seconds. Privacy twins that make re-identification mathematically infeasible.
Global reach, real momentum.
Verizon, MTN Group, ABG Capital — across telecoms, financial services, retail, and social media. Expanding rapidly into Latin America, Africa, APAC, India, and the Middle East. AI Business of the Year 2025.
A place to grow — fast.
We are at an inflexion point: approaching profitability, launching a flagship agentic platform, and scaling commercially across seven regions. The people who join now will shape the next chapter.
Hybrid and flexible.
London-based roles work from the office three days a week, with the rest remote. Team members across Barcelona, Lisbon, New York, South Africa, Nigeria, Brazil, India, and Tel Aviv — a genuinely international team solving genuinely global problems.
Our Values — In Practice
Human-first. No one is average. We start with individual reality, motivation, and context — not statistical convenience or abstract users.
Principled. Privacy is a human right — a design principle, not a legal afterthought. Trust is foundational, not optional.
Ambitious. We anticipate the edge — looking ahead early and building what others assume cannot yet be built.
Inclusive. Intentionally relevant. Every interaction should earn its place — serving simply, with clarity in product, communication, and action.
In service. We serve simply — to our customers, to each other, and to the work itself. No unnecessary complexity, no ego in the way.