Senior Client Data Solutions Engineer

About Intent HQ
Intent HQ is an award-winning AI customer analytics company that transforms first-party data into actionable insights, helping enterprises build precise, human-level understanding of their customers. Our AI-powered Customer Intent Engine processes billions of data points daily, enabling hyper-personalize marketing, customer engagement, and operational efficiency—all
while upholding the highest standards of privacy. Recognised as AI Company of the Year at the British Data Awards 2024, we partner with some of the world's leading brands to redefine customer intelligence. If you're passionate about AI, big data, and solving complex engineering challenges, we'd love to hear from you!

Role Overview
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.

Key Responsibilities
● 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.

Required Skills & Experience
● 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.

Nice-to-Have
● 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.).