Summary: Build and manage data environments using

Job Details

  • Deadline: Not specified
  • Company: MyJobMag
  • Location: Kenya

Job Description

What you’ll do

  • 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).

What we’re looking for

You bring

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.

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

Flask and Jinja

Familiarity with

WSL

and Google Cloud Shell.

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.

How to Apply

Apply by email: services@myjobmag.co.ke

Application link: Apply for this job