Job Description Design and build robust data ingestion pipelines, transforming raw CSV/TSV data into structured, queryable datasets.
Model custom entities and map diverse data sources into standardised target schemas.
Build and manage data environments using SQLite, Google Cloud SQL and BigQuery .
Develop and maintain Dockerised services for data loading, embedding generation and data-serving applications.
Deploy and operate production workloads on Google Cloud Run , with a focus on scalability, reliability and high availability.
Work across Redis, VPC networking, Artifact Registry and Cloud Storage .
Implement secure cloud architectures using Cloud IAM, VPC and Cloud Run ingress controls .
Automate data workflows and deployments through GitHub Actions , including scheduled ingestion, ID mapping, embedding generation and container builds.
Build and integrate AI-powered capabilities , including natural-language querying, semantic search, embeddings and LLM-powered workflows.
Contribute to emerging agentic architectures and integrations , including technologies such as Model Context Protocol (MCP).
Qualifications 2+ years' experience in data engineering, cloud engineering or backend development.
Strong Python development skills, including practical experience with Pandas .
Solid experience with Docker and containerised applications.
Strong working knowledge of Google Cloud Platform , particularly cloud compute, managed databases, data warehousing, networking and IAM.
Strong SQL skills and experience working with both relational and analytical data stores.
Experience designing, building and consuming REST APIs .
A strong engineering mindset, with the ability to work independently, troubleshoot complex problems and take ownership from development through to production.
It's a plus if you have Experience with AI/ML engineering , particularly embeddings, Sentence Transformers or LLM applications.
Exposure to agentic frameworks, MCP or other emerging AI integration patterns .
Experience with Flask and Jinja .
Familiarity with WSL and Google Cloud Shell.
Additional Information Why this opportunity?
Because you'll be building more than pipelines.
You'll help create the technical foundation for intelligent, data-driven applications, where secure cloud infrastructure, high-quality data and AI come together.
If you're looking to deepen your expertise in cloud and data engineering while growing into applied AI , this role offers the opportunity to work on that evolution firsthand.
Applications are reviewed on a rolling basis, so apply early.
