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Position: Senior Data Engineer Job Description: Seeking an experienced Senior Data Engineer to design, development, and optimization of our data pipelines, data models, and analytics infrastructure. The ideal candidate has strong experience in building scalable data platforms across operational systems and enterprise data warehouses. Key Responsibilities Core Responsibilities • Design, build, and maintain scalable ETL/ELT pipelines for structured and unstructured data. • Develop high - quality data integration workflows using modern data engineering tools and frameworks. • Optimize data processing performance, storage usage, and pipeline reliability. • Implement data quality checks, validation rules, and monitoring dashboards. • Collaborate with data analysts, data scientists, and business teams to deliver reliable datasets suitable for reporting and analytics. • Manage data security, access controls, and governance best practices. • Support production workflows, troubleshoot issues, and improve platform stability. Additional Responsibilities for Data Models & Structures (Operational + DW) • Own the design and maintenance of logical and physical data models for operational systems and enterprise data warehouse (OLTP + DWH). • Define and enforce data modeling standards, naming conventions, and schema governance. • Translate business processes into efficient database schemas, including star/snowflake models. • Optimize queries and database structures for high - performance analytics and real - time data access. • Work closely with DBAs, architects, and product teams to ensure data models meet scalability and performance requirements. • Lead database refactoring efforts, schema evolution, and versioning processes. • Perform impact analysis for schema changes across upstream and downstream systems. Requirements Must - Have Requirements • 5+ years of experience as a Data Engineer or similar role. • Strong Python Skills and Experience • Strong SQL /PLSQL skills and experience with relational databases (Oracle, PostgreSQL, MySQL, or similar). • Experience with NoSQL databases and streaming systems (Kafka, Kinesis, etc.). • Hands - on experience with data processing frameworks (Spark, Databricks, or similar). • Proficiency with cloud platforms (AWS). • Experience with workflow orchestration (Airflow, Prefect, or similar). • Strong understanding of ETL/ELT patterns, data warehousing concepts, and BI fundamentals. • Proven ability to design robust data models and optimize database structures. • Knowledge of data governance, cataloging, and metadata management. Nice - to - Have Skills • Familiarity with CI/CD, infrastructure - as - code, and DevOps practices. • Experience with real - time analytics or high - volume distributed data systems Location: EG-Cairo, Egypt (Al Emdad & Al Tamween) Time Type: Full time Job Category: Information Technology
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.