Time since we first saw it
Day 108
Up longer than most. Similar jobs usually come down between day 7 and day 54.
From 7,992 similar postings that came down. Coming down is not always a hire.
Senior Data Engineer - Azure
Reads like a Data Leadership role: running a data team.
Lahore, Pakistan
Open 3 months, first seen by us 108 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, and maintain scalable data pipelines in Azure Data Factory and Azure Synapse
Use Apache Spark or Databricks for big data processing and analytics
Develop and optimize data models and warehouse architectures for Power BI and BI
Lead and mentor Data Engineer teams with technical guidance and oversight
Implement and maintain data security and compliance measures
From the employer’s posting
Design, build, and maintain scalable and robust data pipelines using Azure Data Factory, Azure Synapse, and other relevant tools.
Leverage Apache Spark or Databricks for big data processing and analytics.
Develop and optimize data models, schema design and architectures for data warehousing and business intelligence using Power BI and other analytics tools.
Lead and mentor teams of Data Engineers, providing technical guidance and oversight to ensure project success.
Implement and maintain data security and compliance measures in line with organizational policies and regulations.
What you’ll bring
All qualificationsCore experience
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
- 3 to 6 years of experience in data engineering, with a strong focus on Microsoft Azure's Data Analytics Platform.
- Proficiency in Azure Data Factory, Azure Synapse, Apache Spark or Databricks, and Power BI.
- Experience leading and managing teams of Data Engineers in a fast-paced environment.
- Strong understanding of data modeling, ETL processes, and data warehousing principles.
- Knowledge of Microsoft Fabric is preferred but not necessary.
Qualification wording
Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
3 to 6 years of experience in data engineering, with a strong focus on Microsoft Azure's Data Analytics Platform.
Proficiency in Azure Data Factory, Azure Synapse, Apache Spark or Databricks, and Power BI.
Experience leading and managing teams of Data Engineers in a fast-paced environment.
Strong understanding of data modeling, ETL processes, and data warehousing principles.
Knowledge of Microsoft Fabric is preferred but not necessary.
Education & alternatives
Requirements - Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. - 3 to 6 years of experience in data engineering, with a strong focus on Microsoft Azure's Data Analytics Platform.
Posting record
Report an errorOpen 3 monthsWe first saw this posting 108 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 20, 2026108 days ago
- Recorded sightings
- 103
- 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.
- Azure
- Databricks
- Power BI
- Spark
Where the posting names them
Overview We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. The ideal candidate will have a deep understanding of Microsoft Azure's Data Analytics Platform and possess extensive experience with tools such as Azure Data Factory, Azure Synapse, Apache Spark or Databricks, and Power BI. Knowledge of Microsoft Fabric is preferred but not necessary. This role requires a leader capable of guiding a team or multiple teams of Data Engineers and delivering successful Data Engineering projects. With 5 to 8 years of experience in the field, the Senior Data Engineer will play a crucial role in transforming raw data into actionable insights that drive our business forward. Responsibilities
Responsibilities - Design, build, and maintain scalable and robust data pipelines using Azure Data Factory, Azure Synapse, and other relevant tools. - Leverage Apache Spark or Databricks for big data processing and analytics.
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. - 3 to 6 years of experience in data engineering, with a strong focus on Microsoft Azure's Data Analytics Platform. - Proficiency in Azure Data Factory, Azure Synapse, Apache Spark or Databricks, and Power BI.
- 3 to 6 years of experience in data engineering, with a strong focus on Microsoft Azure's Data Analytics Platform. - Proficiency in Azure Data Factory, Azure Synapse, Apache Spark or Databricks, and Power BI. - Experience leading and managing teams of Data Engineers in a fast-paced environment.
- Design, build, and maintain scalable and robust data pipelines using Azure Data Factory, Azure Synapse, and other relevant tools. - Leverage Apache Spark or Databricks for big data processing and analytics. - Develop and optimize data models, schema design and architectures for data warehousing and business intelligence using Power BI and other analytics tools.
- Leverage Apache Spark or Databricks for big data processing and analytics. - Develop and optimize data models, schema design and architectures for data warehousing and business intelligence using Power BI and other analytics tools. - Lead and mentor teams of Data Engineers, providing technical guidance and oversight to ensure project success.
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 - Azure job there since June 2026. It is still up.
Demand for Data Leadership roles
New Data Leadership postings at the employers we follow are up 7% 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 Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job description
Overview
We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. The ideal candidate will have a deep understanding of Microsoft Azure's Data Analytics Platform and possess extensive experience with tools such as Azure Data Factory, Azure Synapse, Apache Spark or Databricks, and Power BI. Knowledge of Microsoft Fabric is preferred but not necessary. This role requires a leader capable of guiding a team or multiple teams of Data Engineers and delivering successful Data Engineering projects. With 5 to 8 years of experience in the field, the Senior Data Engineer will play a crucial role in transforming raw data into actionable insights that drive our business forward.
Responsibilities
- Design, build, and maintain scalable and robust data pipelines using Azure Data Factory, Azure Synapse, and other relevant tools.
- Leverage Apache Spark or Databricks for big data processing and analytics.
- Develop and optimize data models, schema design and architectures for data warehousing and business intelligence using Power BI and other analytics tools.
- Lead and mentor teams of Data Engineers, providing technical guidance and oversight to ensure project success.
- Collaborate with cross-functional teams, including data scientists, business analysts, and IT professionals, to understand data needs and deliver comprehensive data solutions.
- Implement and maintain data security and compliance measures in line with organizational policies and regulations.
- Stay abreast of industry trends and advancements in data engineering and analytics technologies, applying best practices to improve processes and solutions.
- Drive the adoption of innovative data engineering techniques and tools, fostering a culture of continuous improvement and learning.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
- 3 to 6 years of experience in data engineering, with a strong focus on Microsoft Azure's Data Analytics Platform.
- Proficiency in Azure Data Factory, Azure Synapse, Apache Spark or Databricks, and Power BI.
- Experience leading and managing teams of Data Engineers in a fast-paced environment.
- Strong understanding of data modeling, ETL processes, and data warehousing principles.
- Excellent problem-solving skills and the ability to work independently or as part of a team.
- Knowledge of Microsoft Fabric is preferred but not necessary.
- Excellent communication and interpersonal skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
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.