Data Quality Developer

Tandem Interim; Abu Dhabi Emirate; On-site; AED 90,000 - 130,000; Full time

Job summary

Tandem Interim is seeking a Data Quality Developer for a 12 month contract based in Abu Dhabi to design, implement, and automate data quality checks across source systems, data pipelines, and transformation layers.

You will profile data, build validation checks across ETL/ELT stages, and collaborate with data engineers to prevent recurrence of issues using SQL, Python, and related tools.

Qualifications

• 5-7 years’ experience in data engineering, data quality, or analytics engineering roles.
• Hands-on experience supporting production ETL/ELT pipelines
• Strong SQL skills for data profiling, validation, and reconciliation
• Familiarity with data warehouses, data lakes, and large-scale data platforms

Responsibilities

• Perform data profiling on source systems to identify quality issues early in the pipeline.
• Develop validation checks across ETL/ELT layers to ensure data integrity during transformations.
• Build reusable, automated data quality checks using SQL, Python, or similar tools.
• Collaborate with data engineers to prevent recurrence of issues.

Skills

SQL

Python

Data profiling

ETL/ELT

Data quality

Job description

We are seeking a Data Quality Developer for a 12 month contract based in Abu Dhabi to design, implement, and automate data quality checks across source systems, data pipelines, and transformation layers.

Key responsibilities:

• Perform data profiling on source systems to identify quality issues early in the pipeline.
• Develop validation checks across ETL/ELT layers to ensure data integrity during transformations.
• Build reusable, automated data quality checks using SQL, Python, or similar tools.
• Collaborate with data engineers to prevent recurrence of issues.

Qualifications & Experience:

• 5-7 years’ experience in data engineering, data quality, or analytics engineering roles.
• Hands‑on experience supporting production ETL/ELT pipelines
• Strong SQL skills for data profiling, validation, and reconciliation
• Familiarity with data warehouses, data lakes, and large‑scale data platforms