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A leading Customer Analytics company in London seeks a Software/Data Engineer to develop applications for a next-generation data + AI platform. This role involves building scalable applications, collaborating with infrastructure teams, and managing operational data effectively. Candidates need 3+ years in software/data engineering, experience with Python, and familiarity with AWS and Data lakes. The position offers a hybrid work model and competitive benefits.
About Intent HQ
Recognised by the Financial Times as one of the FT1000 Fast Growing Companies in Europe (2022–2024), and winners of both Analytics Company of the Year 2025 and AI Company of the Year 2024 at the British Data Awards, Intent HQ is a leader and innovator in Customer AI Analytics and Data Science. Backed by strong investors and trusted by a blue‑chip international enterprise customer base, our mission is to become the world’s preeminent Customer Intent Engine by combining privacy‑first signal intelligence, proprietary behavioural AI/ML analytics, and uniquely accessible enterprise insights into a single platform that enables organisations to build more genuine, sustainable, and profitable relationships with customers.
We began by solving complex challenges for clients in the telecommunications sector, including Verizon, O2, and Orange, and have since expanded into Financial Services, Retail, and Social Media, with clients such as HB Reavis and Zurich Group. Our clients typically manage tens of millions of customers and process billions of interactions daily. Our platform is purpose‑built to handle data at this enormous scale efficiently, delivering tangible results—one client achieved £26m in incremental revenue through our solutions.
What sets us apart is our focus on deep customer interaction data, doing the hard, specialised work so our clients can focus on applying insight to their business strategies.
Today, Intent HQ is home to an exciting, diverse, and fast‑growing team of 100+ people across London, Barcelona, Lisbon, Tel Aviv, New York, South Africa & India collectively speaking over 15 languages.
Awards & Recognition:
Analytics Company of the Year 2025 – British Data Awards
AI Company of the Year 2024 – British Data Awards
FT1000 Europe’s Fastest Growing Companies 2022–2024 – Financial Times & Statista
Top 100 Edge Computing Company 2024 – STL Partners
Exciting Work Environment: Work on cutting‑edge technology at the intersection of AI and data analytics.
Hybrid working : 3 days per week in our London office (or monthly equivalent if you live further afield)
Growth Opportunities: Advance your career in a fast‑paced, innovative industry.
The Opportunity:
IntentHQ are at the start of building out a next‑generation data + AI platform for collating and analysing extremely granular behavioural intent data across web and mobile data. We are looking for a software engineer/data engineer to write production services and streaming applications to power our customer‑facing AI capabilities and act as a secure front door to Intents infrastructure.
What will you do:
Build and Deploy applications both from scratch and using stream processing frameworks that can handle multiple tenants that can scale up to the demands of high‑scale businesses.
Collaborate with our Infrastructure teams on how we deploy and release data processing infrastructure and automate the management of our datasets securely.
Build systems to manage operational and metadata needs so that we know if there are problems with data before customers do.
Support Data Engineering + Customer Solutions Engineers' needs on their bespoke customer solutions.
What We’re Looking For:
3 + years of experience in Software/Data engineering roles, including writing Streaming/Data Intensive applications.
Backend Software experience using Python.
Experience with at least one of the major public clouds (We currently use mostly AWS)
Familiarity with building and managing Data lakes (We are moving to using Delta Lake and Unity Catalog quite extensively in Databricks)
Experience with Telemetry/IOT workloads
Experience with Databricks or similar Data platforms
Experience with DevOps approaches of deploying/managing your own software
Familiarity with how Machine Learning and Agentic applications use data.
Benefits
Free breakfast daily (when in the office)
26 days holiday (increasing with service)