Full Stack Data Engineer

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