Data Engineer – Part-Time Contract

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🔥 15 minutes ago

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Dragons

11 - 50 employees

Founded 2023

👥 HR Tech

🎯 Recruiter

HR Tech • Recruitment

Dragons is a talent marketplace and hiring platform that connects companies with pre-vetted software engineers—particularly MENA-based developers—using AI-powered matching and data-driven assessments. It provides Talent-as-a-Service (TaaS), project-based outsourcing, and permanent recruitment, emphasizing measurable performance metrics (code quality, delivery speed, teamwork), cognitive and emotional assessments, and cost savings for US companies.

📋 Description

• Design, build, and maintain scalable ETL/ELT pipelines that move and transform data between systems. • Integrate data from diverse sources — APIs, databases, SaaS platforms, flat files, and spreadsheets — into a central warehouse. • Develop and maintain connectors and reconciliation logic across business systems (e.g., project management, time-tracking, finance, and invoicing tools). • Model and structure data for analytics, reporting, and downstream applications. • Implement data validation, quality checks, monitoring, and alerting to ensure accuracy and reliability. • Optimize queries, storage, and pipeline performance for cost and speed. • Document data flows, schemas, mappings, and transformation logic. • Collaborate with analysts, finance, and engineering teams to understand requirements and deliver clean, usable datasets. • Support data governance, security, and privacy best practices.

🎯 Requirements

• 3+ years of experience in data engineering, data integration, or a closely related role. • SQL: strong SQL skills and experience with relational databases (PostgreSQL, MySQL, SQL Server). • Programming: proficiency in Python (or a comparable language) for data processing and automation. • Pipelines: hands-on experience building ETL/ELT workflows and orchestration (e.g., n8n, or similar). • Integration: experience integrating REST APIs, webhooks, and third-party SaaS data sources. • Experience with data warehouses (BigQuery, Snowflake, or similar). • Understanding of data modeling, warehousing concepts, and data quality practices. • Comfort working with messy, real-world data across formats (CSV, Excel, JSON, XML). • Strong problem-solving skills and clear communication in a remote team.

🏖️ Benefits

• Fully remote working with flexible hours. • A collaborative team spanning engineering, analytics, and finance. • Competitive salary and benefits package.

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