Solution Engineer

About the role

We are looking for a Solution Engineer to design and build robust data ingestion pipelines and AI‑powered services on Google Cloud. You will work independently to transform raw CSV/TSV files into structured, queryable datasets and ensure high‑availability production workloads.

Key responsibilities

• Design and implement data pipelines that convert raw CSV/TSV data into standardized schemas using Python and Pandas.
• Build and manage data environments with SQLite, Google Cloud SQL, and BigQuery.
• Develop Dockerised services for data loading, embedding generation and data‑serving applications.
• Deploy and operate scalable workloads on Google Cloud Run, handling Redis, VPC networking, Artifact Registry and Cloud Storage.
• Automate workflows and deployments with GitHub Actions, including scheduled ingestion and container builds.
• Integrate AI capabilities such as natural‑language querying, semantic search, embeddings and LLM‑powered workflows.

Required profile

• 2+ years of experience in data engineering, cloud engineering or backend development.
• Strong Python development skills with practical experience using Pandas.
• Solid experience with Docker and containerised applications.
• Proven ability to work independently, troubleshoot complex problems and take ownership from development to production.

Required skills

• Python, Pandas
• Docker
• Google Cloud Platform (Cloud Run, BigQuery, Cloud SQL, VPC, IAM)
• SQL (relational and analytical)
• REST API design and consumption
• GitHub Actions
• Redis, Artifact Registry, Cloud Storage