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Solution Engineer

PreSales Collective · Nairobi

New
Mid 🇬🇧 English
Python Pandas Docker Google Cloud Platform SQL REST APIs GitHub Actions SQLite Redis Artifact Registry Cloud Storage

Job description

About the role

We are looking for a Solution Engineer to design and operate robust data pipelines and cloud‑based services that power intelligent, data‑driven applications. You will work with a diverse set of technologies to transform raw CSV/TSV files into queryable datasets, embed AI capabilities, and ensure high‑availability deployments on Google Cloud.

Key responsibilities

  • Design, build, and maintain data ingestion pipelines that convert raw files into structured datasets.
  • Model custom entities and map heterogeneous sources to standardized target schemas.
  • Develop and containerise services for data loading, embedding generation, and data serving using Docker.
  • Deploy and operate production workloads on Google Cloud Run, managing scalability, reliability and high availability.
  • Work with SQLite, Google Cloud SQL, BigQuery, Redis, VPC networking, Artifact Registry and Cloud Storage.
  • Implement secure cloud architectures with Cloud IAM, VPC and ingress controls.
  • Automate workflows and CI/CD pipelines with GitHub Actions, including scheduled ingestion and container builds.
  • Integrate AI‑powered features such as natural‑language querying, semantic search, embeddings and LLM‑driven workflows.

Required profile

  • 2+ years of experience in data engineering, cloud engineering or backend development.
  • Strong Python programming skills with practical use of Pandas.
  • Solid experience with Docker and containerised applications.
  • Proficient with Google Cloud Platform services (compute, managed databases, data warehousing, networking, IAM).
  • Excellent SQL skills and experience with relational and analytical data stores.
  • Experience designing, building and consuming REST APIs.
  • Self‑motivated, able to troubleshoot complex problems and take ownership from development to production.

Required skills

  • Python
  • Pandas
  • Docker
  • Google Cloud Platform (Compute, Cloud SQL, BigQuery, Cloud Run, VPC, IAM)
  • SQL
  • REST APIs
  • GitHub Actions
  • SQLite
  • Redis
  • Artifact Registry
  • Cloud Storage

What we offer

  • Opportunity to build the technical foundation for intelligent, data‑driven products.
  • Hands‑on experience with cutting‑edge AI and cloud technologies.
  • Fast‑moving environment where you can deepen expertise in cloud and data engineering while expanding into applied AI.

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Published 7 hours ago

Expires 1 month from now

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PreSales Collective

Nairobi