Time since we first saw it
Day 96
Up longer than most. Similar jobs usually come down between day 6 and day 54.
From 11,115 similar postings that came down. Coming down is not always a hire.
Senior Data Engineer
Lahore, Pakistan
Open 3 months, first seen by us 96 days ago- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDesign, build, test and maintain scalable data systems on Microsoft Fabric and Azure
Develop ETL processes that extract, transform and load data into a central repository
Manage data storage on Azure OneLake for easy access and analysis
Integrate data from business systems into a unified data platform
Validate and cleanse data and enforce data quality and governance controls
From the employer’s posting
designs, constructs, installs, tests, and maintains highly scalable data management systems
Develops ETL processes to extract data from various sources, transform the data according to business rules, and load it into a centralised data repository
Implements and manages data storage solutions using Azure OneLake
Integrates data from various business systems into a unified data platform
implementing data governance and quality control measures, including data validation and cleansing
What you’ll bring
All qualificationsCore experience
- Azure Data Factory and Azure Synapse Analytics
- Apache Spark or Databricks, including PySpark
- Azure Data Lake or Apache Delta Lake
- SQL and data modeling
- ETL development and performance tuning
Qualification wording
Azure Data Factory Azure Synapse Analytics
Apache Spark or Databricks, Knowledge of implementing Apache Spark using pyspark
Azure Data Lake or Apache Delta Lake
SQL and Data Modeling
ETL Development SQL and Data Modeling Data Quality Management Security practices Performance tuning
Posting record
Report an errorOpen 3 monthsWe first saw this posting 96 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 31, 202696 days ago
- Recorded sightings
- 97
- Last seen by us
- Nov 5, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Tkxel is hiring
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down at a usual pace
See how this role fits your experience
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.
- SQL
- Azure
- Databricks
- Delta Lake
- Spark
- PySpark
Where the posting names them
- ETL Development - SQL and Data Modeling - Data Quality Management
- Data Pipeline Development: Builds understanding of the data needs of the clinet and designs, constructs, installs, tests, and maintains highly scalable data management systems using Microsoft Fabric suite (Azure Data Factory, Azure Synapse Analytics, etc.) and other relevant technologies that can efficiently and effectively meet those needs - Perform data availability assessment and implement robust processes to ensure the timely identification, collection, and validation of relevant data sets required for the client
- ETL Processes: Develops ETL processes to extract data from various sources, transform the data according to business rules, and load it into a centralised data repository, ensuring data accuracy and availability. - Data Lake: Implements and manages data storage solutions using Azure OneLake and ensures optimal data storage architecture for ease of access and analysis. - Data Integration: Integrates data from various business systems into a unified data platform, enabling a consolidated view of information across the organization.
Skills: - Azure Data Factory - Azure Synapse Analytics
- Azure Data Factory - Azure Synapse Analytics - Azure Data Lake or Apache Delta Lake
- Azure Synapse Analytics - Azure Data Lake or Apache Delta Lake - Apache Spark or Databricks,
- Knowledge of implementing Apache Spark using pyspark - Knowledge of working Azure BLOB Storage - ETL Development
- Azure Data Lake or Apache Delta Lake - Apache Spark or Databricks, - Knowledge of implementing Apache Spark using pyspark
- Apache Spark or Databricks, - Knowledge of implementing Apache Spark using pyspark - Knowledge of working Azure BLOB Storage
Your next step
Complete your application on tkxel.zohorecruit.com. The employer’s form will show what is required.
Already applied? Track this application
Has Tkxel posted this job before?
Yes. We’ve followed one other Senior Data Engineer job there since June 2026. It is still up.
Demand for Data Engineer roles
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.
About the role
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.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
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.
Job description
- Data Pipeline Development: Builds understanding of the data needs of the clinet and designs, constructs, installs, tests, and maintains highly scalable data management systems using Microsoft Fabric suite (Azure Data Factory, Azure Synapse Analytics, etc.) and other relevant technologies that can efficiently and effectively meet those needs
- Perform data availability assessment and implement robust processes to ensure the timely identification, collection, and validation of relevant data sets required for the client
- ETL Processes: Develops ETL processes to extract data from various sources, transform the data according to business rules, and load it into a centralised data repository, ensuring data accuracy and availability.
- Data Lake: Implements and manages data storage solutions using Azure OneLake and ensures optimal data storage architecture for ease of access and analysis.
- Data Integration: Integrates data from various business systems into a unified data platform, enabling a consolidated view of information across the organization.
- Data Quality and Governance: Ensures data accuracy and quality by implementing data governance and quality control measures, including data validation and cleansing.
- Performance Optimisation: Monitors, tunes, and reports on the performance of data pipelines and databases to ensure they meet the functional and performance requirements.
- Security and Compliance: Implements security measures to protect data integrity and compliance with data protection regulations and company policies.
Requirements
Skills:
- Azure Data Factory
- Azure Synapse Analytics
- Azure Data Lake or Apache Delta Lake
- Apache Spark or Databricks,
- Knowledge of implementing Apache Spark using pyspark
- Knowledge of working Azure BLOB Storage
- ETL Development
- SQL and Data Modeling
- Data Quality Management
- Security practices
- Performance tuning
- Testing and troubleshooting
- Clear notes and documentation
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Lahore, Pakistan
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.