Azure Data Engineer

🔥 0 minutes ago

🇪🇬 Egypt – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 11%

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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Valleysoft | Center of Excellence

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

Consulting

Valleysoft is an IT services company based in Egypt, founded under the Egyptian Investment Law for over 15 years. As a regional provider, Valleysoft serves clients globally, partnering with organizations like IBM to address complex business and technical challenges. Their offerings include consulting, system services, IT infrastructure services, and a range of IBM-specific solutions such as software development services, business process management, and robotic process automation. With a focus on quality delivery and operational discipline, Valleysoft ensures high-quality, predictable outcomes for its clients.

📋 Description

• Build, maintain, and optimize Azure-based data pipelines using Azure Data Factory, Azure Synapse Analytics, Azure Databricks, or equivalent Azure data technologies • Integrate SAP and other enterprise data sources into Azure using Velocity, Theobald, or similar integration technologies • Design and optimize scalable data ingestion, transformation, and orchestration solutions • Implement data governance, lineage, cataloging, and metadata management requirements using Microsoft Purview • Support data quality management processes in collaboration with Pulse • Provide L1.5–L3 support for data platform incidents, pipeline failures, and production issues • Monitor data loads, platform performance, and operational health, resolving issues proactively • Collaborate with business, analytics, and data engineering teams to deliver reliable data solutions • Document data architecture, integration patterns, data flows, and operational procedures • Implement enhancements and operational improvements across the Intelligent Data Platform • Apply CI/CD practices and data engineering best practices to improve reliability and maintainability

🎯 Requirements

• Hands-on experience delivering Azure data engineering solutions in a mid-level individual contributor capacity • Hands-on experience with Azure Data Factory, Azure Synapse Analytics, Azure Databricks, or equivalent Azure data engineering technologies • Advanced SQL development skills, with experience using Python and/or Apache Spark for data engineering and data transformation • Experience integrating SAP data sources into cloud platforms • Hands-on experience troubleshooting production data pipelines and supporting Azure data platform operations across L1.5–L3 support tiers, including investigating pipeline failures, resolving data load and transformation issues, and monitoring platform performance and operational health • Strong understanding of data governance, lineage, metadata management, and data quality concepts • Understanding of CI/CD principles for reliable data engineering delivery • Experience collaborating with data engineering and other technical teams on data pipelines, integrations, troubleshooting, and production support • Experience collaborating with business and analytics teams to understand data requirements and ensure data availability and quality • Fluency in English • 3+ years of Azure data engineering experience (preferred) • Experience with incident tracking and root-cause analysis (preferred) • Hands-on experience configuring or implementing Microsoft Purview or other enterprise data cataloging solutions (preferred) • Experience implementing cloud-based governance frameworks (preferred) • Hands-on experience with deployment pipelines for Azure data workloads, version control, automated testing, and release and change management (preferred) • Experience working in Agile or Scrum teams and following development, testing, deployment, and production support processes (preferred) • Experience working with SAP teams, enterprise system owners, and stakeholders responsible for source systems and data governance (preferred)

🏖️ Benefits

• Private Health Insurance • Training & Development