Data Engineer
Islamabad, Federal Territory, Pakistan
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingOptimize data workflows for cost, speed, and scalability.
Ensure data quality, lineage, and security across systems.
From the employer’s posting
Architect and implement high-performance ETL/ELT pipelines on [Azure data Factory]. Optimize data workflows for cost, speed, and scalability. Ensure data quality, lineage, and security across systems.
Optimize data workflows for cost, speed, and scalability. Ensure data quality, lineage, and security across systems. Establish CI/CD, monitoring, and documentation standards for data engineering.
What you’ll bring
All qualificationsCore experience
- 5+ years in data engineering, with 2+ years in a senior role.
- Deep experience with cloud data services (e.g., Redshift, BigQuery, Snowflake, Synapse, Databricks must have).
- Proficiency with ETL tools (e.g., dbt, Airflow, Glue, Talend, Fivetran).any one.
- Strong SQL and Python/Scala.
- Experience with streaming (Kafka, Kinesis).
Qualification wording
5+ years in data engineering, with 2+ years in a senior role.
Deep experience with cloud data services (e.g., Redshift, BigQuery, Snowflake, Synapse, Databricks must have).
Proficiency with ETL tools (e.g., dbt, Airflow, Glue, Talend, Fivetran).any one.
Strong SQL and Python/Scala.
Experience with streaming (Kafka, Kinesis).
Tools in this posting
- Python
- Scala
- SQL
- Azure
- BigQuery
- Databricks
- dbt
- Fivetran
- Kafka
- Redshift
- Snowflake
- Airflow
Source — Tool mentions in context
- Proficiency with ETL tools (e.g., dbt, Airflow, Glue, Talend, Fivetran).any one. - Strong SQL and Python/Scala. - Proven application of best practices: code reviews, version control (Git), data testing, partitioning, and incremental loads.
Key Responsibilities - Architect and implement high-performance ETL/ELT pipelines on [Azure data Factory]. - Optimize data workflows for cost, speed, and scalability.
- 5+ years in data engineering, with 2+ years in a senior role. - Deep experience with cloud data services (e.g., Redshift, BigQuery, Snowflake, Synapse, Databricks must have). - Proficiency with ETL tools (e.g., dbt, Airflow, Glue, Talend, Fivetran).any one.
- Deep experience with cloud data services (e.g., Redshift, BigQuery, Snowflake, Synapse, Databricks must have). - Proficiency with ETL tools (e.g., dbt, Airflow, Glue, Talend, Fivetran).any one. - Strong SQL and Python/Scala.
- Proven application of best practices: code reviews, version control (Git), data testing, partitioning, and incremental loads. - Experience with streaming (Kafka, Kinesis).
Posting record
Report an errorActively hiringFirst seen by us 8 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 21, 2026 · 8 days ago
- Recorded sightings
- 29
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on datamaticstechnologies.applytojob.com. The employer’s form will show what is required.
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Job description
JD: Role Summary
We are seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines using cloud technologies and ETL tools.
Key Responsibilities
Architect and implement high-performance ETL/ELT pipelines on [Azure data Factory].
Optimize data workflows for cost, speed, and scalability.
Ensure data quality, lineage, and security across systems.
Establish CI/CD, monitoring, and documentation standards for data engineering.
Required Qualifications
5+ years in data engineering, with 2+ years in a senior role.
Deep experience with cloud data services (e.g., Redshift, BigQuery, Snowflake, Synapse, Databricks must have).
Proficiency with ETL tools (e.g., dbt, Airflow, Glue, Talend, Fivetran).any one.
Strong SQL and Python/Scala.
Proven application of best practices: code reviews, version control (Git), data testing, partitioning, and incremental loads.
Experience with streaming (Kafka, Kinesis).
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
Islamabad, Federal Territory, Pakistan
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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