Home › Companies › Algomus › Data Engineer (4-5 Years)
Data Engineer (4-5 Years)
Algomus · Lahore, Punjab, 54590, Pakistan · Active · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | Algomus |
| Title | Data Engineer (4-5 Years) |
| Normalized title | - |
| Department / team | - |
| Location | Lahore, Punjab |
| Work model | - |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | BambooHR |
| Posted / first seen | 2025-12-16 / 2026-05-30 |
| Changed / last seen | 2026-05-30 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Algomus. | 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 Lahore. | 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 | Algomus |
| Source | 0ba6f895-f36d-439c-b089-5f0f8776525c |
| ATS provider | BambooHR |
Description
Job Title: Data Engineer
Location: DHA Phase-8, Lahore
Job Responsibilities:
1. Design, build, and maintain efficient and scalable ETL/ELT data pipelines using tools like Azure Data Factory or Apache Airflow
2. Develop, test, and deploy Python-based data processing solutions
3. Work with Snowflake, Databricks and other data warehousing technologies to support data analytics and reporting needs
4. Write complex and optimized SQL queries for data transformation and extraction
5. Ensure data quality, accuracy, and compliance with internal and external standards
6. Collaborate with data engineers, analysts, and stakeholders to define and implement data workflows
7. Utilize version control (Git) and CI/CD pipelines for code deployment and process
automation
8. (Optional/Preferred) Support backend services using Django and task queues with
Celery
Qualifications Needed:
Python
SQL
Snowflake
Databricks
Azure (or AWS)
ETL/ELT
ADF / Apache Airflow
Data Warehousing
Git
CI/CD
Django (preferred)
Celery (preferred)
Full job record
| Job ID | 1e522d6e792eec0417acc80ffa2978d8c4526950 |
| Org ID | 4b0e4875-486e-4c4a-8253-def5c7f814ea |
| Source ID | 0ba6f895-f36d-439c-b089-5f0f8776525c |
| Board ID | 0ba6f895-f36d-439c-b089-5f0f8776525c |
| Provider | bamboohr |
| Provider Job Key | 232 |
| Title | Data Engineer (4-5 Years) |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Lahore, Punjab, 54590, Pakistan |
| Department | — |
| Team | — |
| Employment Type | full_time |
| Workplace Type | — |
| Remote Policy | — |
| Country | — |
| Region | Punjab |
| City | Lahore |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://algomus.bamboohr.com/careers/232 |
| Apply URL | https://algomus.bamboohr.com/careers/232 |
| First Seen At | 2026-05-30 05:40:52Z |
| Last Seen At | 2026-06-06 20:18:36Z |
| Last Checked At | 2026-06-06 20:18:36Z |
| Last Changed At | 2026-05-30 05:40:52Z |
| Inactive At | — |
| Source Posted At | 2025-12-16 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=algomus/date=2026-06-06/2026-06-06T20-18-35-876Z-02e653b79280ab3d452936dd11ff57a3cd0d265657a2e99e4a850021b93ffdb0.json |
Event Fields
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"description": "<p><span style=\"font-weight: bold\">Job Title: Data Engineer</span><br><span style=\"font-weight: bold\">Location: DHA Phase-8, Lahore</span><br><br><span style=\"font-weight: bold\">Job Responsibilities:</span><br>1. Design, build, and maintain efficient and scalable ETL/ELT data pipelines using tools like Azure Data Factory or Apache Airflow<br>2. Develop, test, and deploy Python-based data processing solutions<br>3. Work with Snowflake, Databricks and other data warehousing technologies to support data analytics and reporting needs<br>4. Write complex and optimized SQL queries for data transformation and extraction<br>5. Ensure data quality, accuracy, and compliance with internal and external standards<br>6. Collaborate with data engineers, analysts, and stakeholders to define and implement data workflows<br>7. Utilize version control (Git) and CI/CD pipelines for code deployment and process <br>automation<br>8. (Optional/Preferred) Support backend services using Django and task queues with <br>Celery<br><br></p>\n<p><span style=\"font-weight: bold\"><span><span>Qualifications Needed:</span></span></span><span> </span></p>\n<ul>\n<li><span><span> Python</span></span><br></li>\n<li><span><span> SQL</span></span><br></li>\n<li><span><span> Snowflake</span></span><br></li>\n<li><span><span> Databricks</span></span><br></li>\n<li><span><span> Azure (or AWS)</span></span><br></li>\n<li><span><span> ETL/ELT</span></span><br></li>\n<li><span><span> ADF / Apache Airflow</span></span><br></li>\n<li><span><span> Data Warehousing</span></span><br></li>\n<li><span><span> Git</span></span><br></li>\n<li><span><span> CI/CD</span></span><br></li>\n<li><span><span> Django (preferred)</span></span><br></li>\n<li><span><span> Celery (preferred)</span></span><br></li>\n</ul>",
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