Home › Companies › Algomus › Data Engineer (Azure Platform)
Data Engineer (Azure Platform)
Algomus · Lahore, Punjab, 54590, Pakistan · On Site · Active · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | Algomus |
| Title | Data Engineer (Azure Platform) |
| Normalized title | - |
| Department / team | Data Services |
| Location | Lahore, Punjab |
| Work model | On Site |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | BambooHR |
| Posted / first seen | 2025-10-16 / 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 |
| Department jobs | Active postings in Data Services. | Open |
| Work model jobs | Active On Site postings. | 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
Position: Data Engineer (Azure Platform)
Location: Lahore, Pakistan (on-site)
Job Description
• Design and develop scalable data warehouse solutions to support analytics and reporting.
• Build and maintain efficient Azure Data Pipelines using Azure Data Factory for ETL processes.
• Develop and optimize Spark jobs using Databricks and PySpark for large-scale data transformations.
• Coordinate with onsite and offshore teams to ensure seamless project execution and business continuity.
• Develop and maintain dashboards and reports using BI tools such as Power BI, Tableau, MicroStrategy, or Qlik.
• Manage the presentation and access layers to ensure secure and efficient data access.
• Work directly with clients and stakeholders to understand requirements and deliver actionable data solutions
Qualifications
• BS in Computer Science or a related field with 4-5 years of experience in BI and data management projects.
• Strong expertise in database and data warehouse design , support, and maintenance.
• Proficiency in writing complex SQL and SparkSQL queries .
• Experience in Python and its data-related frameworks.
• Hands-on experience with Databricks and PySpark for data engineering tasks.
• Strong proficiency in Power BI; experience with other BI tools is a plus.
• Experience with Azure Data Platform (Data Factory, Azure SQL, Synapse, Data Lake) is preferred.
• Ability to generate and maintain comprehensive technical documentation.
• Excellent communication and interpersonal skills.
• Strong analytical and problem-solving abilities.
• Willingness to learn and adapt to new technologies and project requirements.
• Experience in data analysis is a plus.
• Ability to work independently and handle critical situations confidently.
• A collaborative, team-oriented mindset.
Full job record
| Job ID | ec635c2654cb779f83e7cd3d7265b285c59c8ccc |
| 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 | 239 |
| Title | Data Engineer (Azure Platform) |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Lahore, Punjab, 54590, Pakistan |
| Department | Data Services |
| Team | — |
| Employment Type | full_time |
| Workplace Type | on_site |
| Remote Policy | — |
| Country | — |
| Region | Punjab |
| City | Lahore |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://algomus.bamboohr.com/careers/239 |
| Apply URL | https://algomus.bamboohr.com/careers/239 |
| 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 | 2025-10-16 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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