Data Engineer

🕒 June 23

🇿🇦 South Africa – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 39%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Huzzle.com

WebsiteLinkedInAll Job Openings

51 - 200 employees

🎯 Recruiter

👥 HR Tech

☁️ SaaS

💰 $1.8M Pre Seed Round - Huzzle on 2024-04

Recruitment • HR Tech • SaaS

Huzzle. com is an AI-native hiring platform that connects companies with pre-vetted, remote talent—especially sales and go-to-market roles—through a streamlined sourcing, interviewing, hiring, and payroll workflow. The platform uses AI-driven candidate search and automated interviews (with expert review) to surface high-quality candidates quickly, then handles contracts, onboarding, and cross-border payroll and compliance so employers can hire globally in days. It also offers a candidate-facing experience that matches applicants to remote roles after a single 20-minute interview and provides a curated talent marketplace.

📋 Description

• Design, develop, and maintain scalable ETL and ELT pipelines. • Build and optimize data architectures, databases, and data warehouses. • Integrate data from multiple sources, APIs, and third-party platforms. • Ensure data quality, consistency, reliability, and security. • Monitor and troubleshoot data pipelines and workflows. • Collaborate with analytics, engineering, and business teams to understand data requirements. • Implement data governance and best practices for data management. • Optimize data storage, processing performance, and query efficiency. • Support reporting, business intelligence, and analytics initiatives. • Document data models, workflows, and technical processes.

🎯 Requirements

• 3+ years of experience in data engineering, data warehousing, or related roles. • Strong proficiency in SQL and database management. • Experience with Python, Java, Scala, or similar programming languages. • Hands-on experience with ETL/ELT tools and data pipeline development. • Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform. • Experience with modern data warehouses such as Snowflake, Redshift, BigQuery, or Databricks. • Familiarity with orchestration tools such as Airflow or Prefect. • Understanding of data modeling, data governance, and data quality principles. • Experience working with large datasets and distributed systems is preferred. • Strong analytical, problem-solving, and communication skills. • Ability to work independently in a remote, collaborative environment.

🏖️ Benefits

• 💰 **Competitive salary:** Based on experience, technical expertise, and location. • 🌎 **Fully remote role:** Work from anywhere with flexible working arrangements. • 🚀 **Career growth opportunities:** Join innovative companies and work on impactful projects. • 📈 **Long-term opportunities:** Build your career with growing global organizations. • 🧠 **Continuous learning:** Exposure to modern data technologies, cloud platforms, and large-scale data systems. • 🤝 **Collaborative culture:** Work alongside talented engineers, analysts, and business leaders. • ⚙️ **Cutting-edge technology:** Gain experience with modern data stacks and cloud-native solutions.

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