Creative Chaos
via Workable
Data Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 5h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 168d ago
The date the source published, not the day we noticed it (2026-03-31). Last seen at its source 3h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Pakistan
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $73.8k–170.3k/yr
Middle 50% of 24 listings that do state pay — Engineering · all levels · APAC · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
workable employer's own board first seen 10d ago · last seen 3h ago
The listing
We are seeking a highly skilled Data Engineer with extensive experience in Azure Data Lake to contribute to our dynamic team at Creative Chaos. The ideal candidate will be responsible for architecting, developing, and optimizing data pipelines that will facilitate the efficient processing of large datasets.
Responsibilities:
- Designing and implementing robust data pipeline solutions within Azure Data Lake.
- Integrating and transforming data from various sources to enable comprehensive analytics and reporting.
- Ensuring data quality and integrity, implementing data governance practices.
- Collaborating with cross-functional teams to understand data requirements and develop scalable solutions.
- Monitoring and optimizing data processing workflows for performance and reliability.
- Documenting processes and architecture to ensure maintainability and scalability.
- Staying abreast of new Azure technologies and best practices for data engineering.
Requirements
The successful candidate will possess the following qualifications:
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- A minimum of 5 years of experience working as a Data Engineer, with a strong emphasis on Azure Data Lake.
- Proficiency in Azure Data Services, particularly Azure Data Lake Storage, Azure Data Factory, and Azure Synapse Analytics.
- Demonstrated experience with data modeling, ETL processes, and data warehousing solutions.
- Strong programming skills in Python, SQL, and familiar with Java or C#.
- Excellent problem-solving skills and a detail-oriented approach to work.
- Ability to communicate technical concepts clearly to non-technical stakeholders.
- Strong organizational skills with the ability to manage multiple priorities and meet deadlines.
Benefits
Perks & benefits
- Paid Time Off
- Work From Home
- Health Insurance
- OPD
- Training and Development