# Full Stack Data Engineer

> Aristo Sourcing · South Africa (Remote) · — · Posted 2026-04-30

**Workplace:** remote

## Description

Our Client is hiring a **Full‑Stack Data Engineer** to strengthen their data foundation and support growing reporting needs across the organization. This is a hands‑on technical role for someone who thrives across the **entire data lifecycle** from building pipelines and transformations to delivering user‑facing dashboards and predictive insights.

You will join a collaborative data team, working closely with engineering and analytics colleagues to ensure reliable data ingestion, efficient workflows, and clear reporting outputs that empower operational and clinical leadership.

## Requirements

**Key Responsibilities**

**Data Engineering**

-   Design, build, and maintain data pipelines using GCP tools (BigQuery, Cloud Functions, Cloud Composer, Cloud Scheduler, Apache Beam, Airflow).
-   Clean, transform, and organize data from multiple sources.
-   Automate ETL/ELT workflows for reliability and scalability.
-   Support ingestion from APIs, spreadsheets, and internal systems.

**Backend Development**

-   Write Python and Bash scripts to process and automate data tasks.
-   Develop lightweight backend services and utilities to streamline internal processes.

**Front‑End / Dashboards**

-   Build and update dashboards in Looker Studio and D3.js.
-   Deliver clean, intuitive KPI reports for operations and leadership.
-   Support visualization needs across the Wellness Division.

**Foundational ML / Predictive Work**

-   Contribute to simple predictive modeling and forecasting tasks.
-   Prepare structured datasets for future machine learning initiatives.

**Qualifications**

**Must‑Have:**

-   2+ years in data engineering, data science, or software engineering.

Strong experience with GCP, including:

-   BigQuery
-   Cloud Functions / Cloud Run
-   Apache Beam & Airflow
-   Looker / Looker Studio Pro
-   Vertex AI (AutoML, LLM engineering)
-   Advanced Python (data processing, APIs, automation).
-   Experience building end‑to‑end pipelines (batch + streaming preferred).
-   Strong SQL skills for transformations and modeling.
-   Proven ability to develop dashboards, KPIs, and BI outputs.
-   Solid understanding of modern data architectures (lakehouse, warehousing, governance).

**Nice‑to‑Have:**

Exposure to healthcare or multi‑location environments.

Experience with EMR systems or similar platforms.

Familiarity with predictive analytics and ML workflows.

## Benefits

Location: South Africa (Remote)

$1500-$1800

US Time Zone

## Apply

[Apply at Aristo Sourcing](https://apply.workable.com/aristo-sourcing/j/775E491FA0/apply)

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