Data Engineer

🔥 13 hours ago

🌐 South Africa, Philippines, +4 more countries – Remote

🇿🇦 South Africa – Remote 🇵🇭 Philippines – Remote 🇲🇦 Morocco – Remote 🇪🇬 Egypt – Remote 🇩🇪 Germany – Remote 🇬🇧 United Kingdom – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 24%

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, build, and maintain scalable ETL and ELT data pipelines • Develop and optimize data architectures, databases, and data warehouses • Integrate data from various sources, APIs, and third-party platforms • Maintain data quality, accuracy, consistency, reliability, and security • Monitor, troubleshoot, and improve data pipelines and workflows • Collaborate with analytics, engineering, and business teams to identify and meet data requirements • Establish data governance standards and data management best practices • Improve data storage, processing speeds, and query performance • Support business intelligence, reporting, and analytics projects • Maintain documentation of data models, workflows, and technical processes

🎯 Requirements

• 2+ years of experience in data engineering, data warehousing, or a similar field • Strong SQL skills and solid understanding of database management • Proficiency in Python, Java, Scala, or other relevant programming languages • Practical experience with ETL/ELT tools and building data pipelines • Familiarity with AWS, Azure, or Google Cloud Platform • Hands-on experience with Snowflake, Redshift, BigQuery, or Databricks • Knowledge of Airflow or Prefect • Understanding of data modelling, governance, and data quality best practices • Experience handling large datasets and working with distributed systems is an advantage • Strong analytical thinking, problem-solving, and communication abilities • Comfortable working independently while collaborating with a remote team

🏖️ Benefits

• Competitive compensation tailored to experience, technical skills, and location • Fully remote work with flexibility to work from anywhere • Career development through innovative, high-impact projects • Long-term career growth alongside ambitious, expanding global organisations • Ongoing learning and exposure to emerging data technologies, cloud platforms, and large-scale data environments • Collaborative environment with skilled engineers, analysts, and business stakeholders • Modern tech stack with cutting-edge data tools, technologies, and cloud-based solutions

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