Time since we first saw it
Day 84
Up longer than most. Similar jobs usually come down between day 6 and day 54.
From 11,069 similar postings that came down. Coming down is not always a hire.
Cairo, Egypt
Live, first seen by us 84 days agoWork setup in the employer’s posting: hybridFrom the employer’s posting
Employment type Full-time
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Build a centralized data lake on GCP by integrating diverse enterprise data sources
Develop and optimize Spark batch and streaming data pipelines
Design data validation and quality checks for accuracy and consistency
Support AI/ML model development and monitoring with data
Design and manage ETL/ELT processes for integrity and performance
Build a centralized data lake on GCP data services by integrating diverse data sources throughout the enterprise.
Develop, maintain, and optimize Spark-powered batch and streaming data processing pipelines.
Design and implement data validation and quality checks to ensure accuracy, completeness and consistency across our data workflows.
address data needs for Machine Learning model development and monitoring
Design and manage ETL/ELT processes, ensuring data integrity, availability, and performance.
PySpark - Batch and Streaming
GCP - Dataproc, Dataflow, DataStream, Dataplex, Pub/Sub, BigQuery and Cloud Storage
Programming languages: Scala/Python
Great Expectation, or similar DQ framework
Good SQL knowledge
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 84
Up longer than most. Similar jobs usually come down between day 6 and day 54.
From 11,069 similar postings that came down. Coming down is not always a hire.
7 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- NoSQL (preferably MongoDB) - Programming languages: Scala/Python - Great Expectation, or similar DQ framework
- Understanding of Data Governance, Data Warehousing and Data Modelling - Good SQL knowledge Business
- PySpark - Batch and Streaming - GCP - Dataproc, Dataflow, DataStream, Dataplex, Pub/Sub, BigQuery and Cloud Storage - NoSQL (preferably MongoDB)
- Lineage, or relevant tools e.g. Atlan - DBT At Yassir, we believe in the power of diversity and the importance of an inclusive culture. So, if you're ready to bring your unique perspective and experiences to the table, then we're excited to listen.
- Infrastructure-as-Code, preferably Terraform - Docker and Kubernetes - Looker
- Docker and Kubernetes - Looker - AI / ML engineering knowledge
- GCP - Dataproc, Dataflow, DataStream, Dataplex, Pub/Sub, BigQuery and Cloud Storage - NoSQL (preferably MongoDB) - Programming languages: Scala/Python
- Great Expectation, or similar DQ framework - Familiarity with workflow management tools like: Airflow, Prefect or Luigi - Understanding of Data Governance, Data Warehousing and Data Modelling
- - Infrastructure-as-Code, preferably Terraform - Docker and Kubernetes
Required Technical Skills - PySpark - Batch and Streaming - GCP - Dataproc, Dataflow, DataStream, Dataplex, Pub/Sub, BigQuery and Cloud Storage
Complete your application on jobs.lever.co. The employer’s form will show what is required.
Already applied? Track this application
Yes. We’ve followed one other Mid/Senior Data Engineer job there since August 2026. It is still up.
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Full-time
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Cairo, Egypt
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.