Our client is looking for an AI / Data Engineer to design and deliver data platforms, pipelines and AI-enabled solutions for our clients.
This is a hands-on consulting and delivery role for someone who can take ownership of ambiguous client problems, shape a practical technical approach, and deliver robust solutions across data engineering, data architecture and AI innovation.
You will work with the company’s colleagues, client stakeholders and external technical teams to acquire, structure, transform and expose data through analytics, applications, APIs and AI-enabled experiences.
Key Responsibilities
Own the delivery of client data and AI engineering work from discovery through design, implementation, testing and deployment.
Work with client stakeholders to understand business problems, clarify requirements and translate them into practical technical solutions.
Design and build data ingestion pipelines from APIs, third-party systems, files, online sources and operational platforms.
Develop scalable warehouse and transformation layers that convert raw data into trusted, reusable client data products.
Apply sound data architecture, modelling, quality, lineage and governance practices.
Identify and implement opportunities to use AI, automation, retrieval and agent-based workflows within client solutions.
Build or support APIs, data access layers and application integrations that make data products usable by reporting tools, software applications and AI experiences.
Contribute reusable technical patterns, documentation and engineering standards across the company.
What We Are Looking For
Ownership and Client Problem-Solving
You take ownership of outcomes rather than waiting for fully defined requirements. You are comfortable working through ambiguity, asking the right questions, identifying gaps and helping clients move from a business problem to a practical solution.
AI-First Mindset
You are interested in how AI can improve data collection, enrichment, research, automation, retrieval and decision support. You do not need to be an AI researcher, but you should be comfortable evaluating where LLMs, agents and AI-enabled workflows can create practical value.
Data Engineering and Warehousing Capability
You have strong hands-on experience designing and delivering modern data pipelines and warehouse solutions. You understand ingestion patterns, orchestration, data modelling, transformation layers, quality controls, observability, lineage, performance and security.
You should be technically comfortable with concepts such as API integration, batch and event-driven pipelines, raw/staging/curated layers, dimensional modelling, fact and dimension tables, historical tracking, data marts, transformation testing and deployment practices. Experience with dbt or a similar transformation framework is expected.
Collaborative Delivery Mindset
You work well in a consulting environment, communicate clearly with technical and non-technical stakeholders, and are comfortable sharing ideas, challenging assumptions and working closely with client and internal delivery teams.
Experience and Skills
You should have practical experience with several of the following:
Modern cloud data warehouses such as Snowflake, BigQuery, Redshift, Databricks or Synapse.
SQL, data modelling and transformation frameworks such as dbt.
Cloud platforms, particularly AWS, Azure or GCP.
API integration, external data ingestion and pipeline orchestration.
Data quality, monitoring, observability and governance practices.
Software engineering practices including Git, automated testing and CI/CD.
Building data products for analytics, reporting, APIs or software applications.
Experience with AI orchestration frameworks, LLM tool calling, retrieval workflows, vector search, agent-based systems or related AI technologies
Success in This Role
Success will mean delivering reliable, scalable and commercially useful data and AI solutions for the clients.
You will combine sound engineering discipline with strong client problem-solving: understanding the real need, designing the right solution, delivering it effectively and helping clients derive measurable value from their data.
Kindly regard your application as unsuccessful if you have not heard from the agency within 2 weeks.
