Data Engineer

Job not on LinkedIn

🔥 8 minutes ago

🌐 Nigeria, Egypt, +1 more countries – Remote

🇳🇬 Nigeria – Remote 🇪🇬 Egypt – Remote 🇺🇿 Uzbekistan – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.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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Soum

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Soum is on a mission to reimagine recommerce in the MENA region and beyond, building the most convenient, trustworthy, and transparent recommerce marketplace in the region. Launched in July 2021, Soum is one of the fastest growing startups in the region.

📋 Description

• Design, build, and maintain scalable and reliable data pipelines for analytics, ML models, and business reporting • Collaborate with data scientists and analysts to ensure data is available, clean, and optimized for downstream use • Implement data quality checks, monitoring, and validation processes • Design efficient ETL/ELT workflows and integrate databases, APIs, and third-party tools into centralized data lakes or warehouses • Support cloud-based infrastructure for data storage and retrieval • Monitor, troubleshoot, and optimize existing pipelines for large-scale, real-time data flows • Apply best practices for query optimization and cost-efficient storage • Partner with product, engineering, and business stakeholders to gather requirements • Document workflows, schemas, and processes while supporting reliability, governance, and security

🎯 Requirements

• Proficiency in Python and SQL for data engineering tasks • Strong understanding of ETL/ELT processes, data warehousing, and data modeling • Hands-on experience with cloud platforms (AWS, GCP, or Azure) and data storage solutions (BigQuery, Redshift, Snowflake, etc.) • Familiarity with data orchestration tools; Airflow and Airbyte are a must • Experience with containerization and deployment tools (Docker, Kubernetes) is a plus • Knowledge of data governance, security, and best practices for handling sensitive data • Familiarity with Git and GitHub • Dataform is a must • Strong skills in eliciting requirements from cross-functional stakeholders and translating them into actionable data engineering tasks • Preferably 4 years of total experience • 2+ years in data engineering, building and maintaining data pipelines • 2+ years of SQL and Python development in production environments • Experience in fast-growing startup environments is a plus • Exposure to real-time data processing frameworks (Kafka, Spark, Flink) is a plus

🏖️ Benefits

• Full-time employment • Remote work arrangement • Work directly with senior Finance leadership • Broad exposure across accounting, audit, and financial operations • Culture valuing ownership, speed, and constant improvement