Senior Client Data Solutions Engineer, Intent HQ

Salary not provided

AWS

Docker

Kubernetes

GCP

Python

GraphQL

Scala

Java

Kafka

Tensorflow

Hadoop

Azure

Spark

PyTorch

REST API

Mid and Senior level

London

Customer intelligence platform

Be an early applicant

Customer intelligence platform

101-200 employees

B2BArtificial IntelligenceEnterpriseMarketingAnalyticsMarket researchMachine LearningSaaS

Be an early applicant

Salary not provided

AWS

Docker

Kubernetes

GCP

Python

GraphQL

Scala

Java

Kafka

Tensorflow

Hadoop

Azure

Spark

PyTorch

REST API

Mid and Senior level

London

101-200 employees

B2BArtificial IntelligenceEnterpriseMarketingAnalyticsMarket researchMachine LearningSaaS

Company mission

To help organisations have more genuine relationships with their customers by using data and machine learning to understand them on a human level.

Job

Company

Role

Who you are

3+ years of software engineering experience in backend or full-stack development
Proficiency in Python, Java, or Scala (experience with multiple languages is a plus)
Experience with cloud platforms (AWS, GCP, or Azure) and distributed computing
Knowledge of big data technologies such as Spark, Kafka, or Hadoop
Experience with RESTful APIs, GraphQL, or microservices architecture
Strong understanding of data structures, algorithms, and software design patterns
Familiarity with DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes)
Excellent problem-solving and analytical skills, with a strong attention to detail
Passion for AI, data science, and customer analytics

Desirable

Experience with Edge AI or on-device AI processing
Knowledge of privacy-first AI technologies and data security best practices
Familiarity with machine learning frameworks (TensorFlow, PyTorch, etc.)

What the job involves

As a Senior Client Data Solutions Engineer, you’ll be at the forefront of delivering scalable, high-impact software that powers real-time customer intelligence!
Design, develop, and maintain scalable, efficient, and secure backend systems
Design specifications and build configurations to ingest and process client data at scale
Work with data pipelines to process large-scale structured and unstructured data
You will work with our clients to gather their data requirements and convert them into data specifications
Develop APIs and microservices to integrate AI models into real-time customer insights
Optimize system performance and reliability for high-volume data processing
Collaborate with cross-functional teams to deliver AI-driven customer analytics solutions
Ensure code quality through automated testing, code reviews, and best practices
Stay ahead of industry trends in AI, big data, and cloud technologies
Primary point of contact with the client from a data perspective and will own the end to end client data provisioning process, ensuring that we get the data we need from our clients in order to fulfil their desired use cases and to deliver the most business value
We are looking for a talented Senior Client Data Solutions Engineer to join our innovative and expanding Client Operations team
You will be responsible for developing scalable, high-performance software solutions that drive our AI and analytics capabilities
Working closely with data scientists, product managers, and cloud engineers, you will contribute to the evolution of our platform, enabling cutting-edge customer intelligence solutions
You will also design specifications and build configurations to ingest and process client data at scale
You will be the primary point of contact with the client from a data perspective and will own the end to end client data provisioning Process

Salary benchmarks

Our take

Big businesses collect billions of customer data points including purchases, locations, page views, and phone calls - but most of this data isn't very useful on its own. On top of this, most businesses don’t have the ability to easily combine such diverse data, let alone make sense of it in real-time.

Intent HQ aims to solve this problem with it's privacy-first Customer Intelligence Platform created for Service Providers to manage their user data. Enabling 1-to-1 personalisation at scale, it empowers deep understanding of customers from data, making that data actionable and valuable.

Intent HQ's unique selling point is that it uses cutting-edge AI to fuel this understanding of customers. In fact, it has the ability to rank and quantify someone’s interests with such granularity that it knows, for example, that a person prefers a brand over another brand by a factor of 0.3.

According to Jonathan Lakin, Intent HQ's CEO, the end result of this interest-driven insight is marketing that is more relevant, personal and effective. A merger with Anagog, an edge AI customer engagement platform, will enable Intent HQ to leverage the powers of generative AI to provide even more relevant and personalised interactions.

Steph

Company Specialist at Welcome to the Jungle

Insights

15% employee growth in 12 months

Glassdoor (3.3)

Company

Funding (2 rounds)

Apr 2015

$4.7m

EARLY VC

May 2014

$6.4m

EARLY VC

Total funding: $11.1m

Company benefits

26 days + Public Holidays
Flexible Working
Hybrid Working Policy
Personal Development Opportunities
Mental Health Counselling
Family Friendly Benefits
Company Events
Company Socials
Pension Scheme
Life Insurance
Income Protection
Complimentary Breakfast (when in office)
Cycle to Work Scheme

Company HQ

Fitzrovia, London, UK

Leadership

Jonathan Lakin

(CEO)

Previously Managing Director EMEA at Whitelight Systems for 5 years and Angel Investor at Rights Marketing Company for 7 years.

Share this job