Home › Companies › Datascience › Data Engineer
Data Engineer
Datascience · Giza, 00000, Egypt · Active · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | Datascience |
| Title | Data Engineer |
| Normalized title | - |
| Department / team | AI & Data Management |
| Location | Giza |
| Work model | - |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | BambooHR |
| Posted / first seen | 2023-09-10 / 2026-05-30 |
| Changed / last seen | 2026-05-30 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Datascience. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through BambooHR. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Giza. | Open |
| Department jobs | Active postings in AI & Data Management. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Datascience |
| Source | decb295c-4cc5-42ce-8348-04db01d62874 |
| ATS provider | BambooHR |
Description
Job Summary:
We are looking for a talented and experienced Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, building, and maintaining our data pipelines and infrastructure. You will work closely with our data scientists and analysts to ensure that our data is accessible, reliable, and secure.
Responsibilities:
Design, develop, and maintain scalable data pipelines.
Build and manage data warehouses and data lakes.
Implement data quality and data governance best practices.
Work with data scientists and analysts to support their research and development projects.
Collaborate with other engineers to build and maintain our data infrastructure.
Qualifications:
Bachelor's degree in Computer Science, Engineering, or a related field
3-5 years of experience in Data Warehousing and Data Integration projects, with exposure to ETL processes, data pipelines, and data quality management.
practical experience working within large scale data environments and demonstrate strong analytical and problem-solving capabilities.
Hands-on experience in SAS, including development and optimization of SAS programs.
Strong programming skills in Python, Java, or Scala
Experience with big data technologies such as Hadoop, Spark, and Kafka
Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform
Experience with database systems such as SQL, PostgreSQL and Cassandra
Experience with data warehousing and ETL (extract, transform, load) processes
Excellent problem-solving and analytical skills
Strong communication and teamwork skills
Bonus Points:
Experience with SAS, Kubernetes, or Docker
Experience with machine learning and artificial intelligence
Experience with cloud-native development
Full job record
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| Org ID | 98e31ec6-1ee5-4916-bf23-809332d96ea2 |
| Source ID | decb295c-4cc5-42ce-8348-04db01d62874 |
| Board ID | decb295c-4cc5-42ce-8348-04db01d62874 |
| Provider | bamboohr |
| Provider Job Key | 26 |
| Title | Data Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Giza, 00000, Egypt |
| Department | AI & Data Management |
| Team | — |
| Employment Type | full_time |
| Workplace Type | — |
| Remote Policy | — |
| Country | — |
| Region | — |
| City | Giza |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://datascience.bamboohr.com/careers/26 |
| Apply URL | https://datascience.bamboohr.com/careers/26 |
| First Seen At | 2026-05-30 06:07:52Z |
| Last Seen At | 2026-06-06 10:18:54Z |
| Last Checked At | 2026-06-06 10:18:54Z |
| Last Changed At | 2026-05-30 06:07:52Z |
| Inactive At | — |
| Source Posted At | 2023-09-10 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=datascience/date=2026-06-06/2026-06-06T10-18-52-985Z-206f17c6b4a0731fd3c155b21a4645de126863b4b0457771f59a96834a3642f1.json |
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"description": "<p><span style=\"font-weight: bold\">Job Summary:</span><br></p>\n<p><span>We are looking for a talented and experienced Data Engineer to join our team.</span><span> As a Data Engineer,</span><span> you will be responsible for designing,</span><span> building,</span><span> and maintaining our data pipelines and infrastructure.</span><span> You will work closely with our data scientists and analysts to ensure that our data is accessible,</span><span> reliable,</span><span> and secure.</span></p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Responsibilities:</span></p>\n<ul>\n<li><span>Design,</span><span> develop,</span><span> and maintain scalable data pipelines.</span></li>\n<li><span>Build and manage data warehouses and data lakes.</span></li>\n<li><span>Implement data quality and data governance best practices.</span></li>\n<li><span>Work with data scientists and analysts to support their research and development projects.</span></li>\n<li><span>Collaborate with other engineers to build and maintain our data infrastructure.</span><br><br><br></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Qualifications:</span></p>\n<ul>\n<li><span>Bachelor's degree in Computer Science,</span><span> Engineering,</span><span> or a related field</span></li>\n<li><span>3-5 years of experience in Data Warehousing and Data Integration projects, with exposure to ETL processes, data pipelines, and data quality management.<br></span></li>\n<li><span>practical experience working within large scale data environments and demonstrate strong analytical and problem-solving capabilities.</span></li>\n<li><span>Hands-on experience in SAS, including development and optimization of SAS programs.</span></li>\n<li><span>Strong programming skills in Python,</span><span> Java,</span><span> or Scala</span></li>\n<li><span>Experience with big data technologies such as Hadoop,</span><span> Spark,</span><span> and Kafka</span></li>\n<li><span>Experience with cloud computing platforms such as AWS,</span><span> Azure,</span><span> or Google Cloud Platform</span></li>\n<li><span>Experience with database systems such as SQL,</span><span> PostgreSQL </span><span>and Cassandra</span></li>\n<li><span>Experience with data warehousing and ETL (extract,</span><span> transform,</span><span> load) processes</span></li>\n<li><span>Excellent problem-solving and analytical skills</span></li>\n<li><span>Strong communication and teamwork skills</span><br><br></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Bonus Points:</span></p>\n<ul>\n<li><span>Experience with SAS,</span><span> Kubernetes,</span><span> or Docker</span></li>\n<li><span>Experience with machine learning and artificial intelligence</span></li>\n<li><span>Experience with cloud-native development</span><br></li>\n</ul>\n<p><br></p>",
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