Lead Data Quality Engineer

Jobgether; Remote; IDR 200.000.000 - 300.000.000; Full time

Job summary

A leading recruitment service is seeking a Senior Data Quality Engineer to work remotely. In this role, you will validate data integrity and ensure high standards for products. Responsibilities include leading validation of data pipelines, implementing automated testing frameworks, and collaborating with data scientists. Ideal candidates have 6–10 years of experience, strong SQL skills, and familiarity with Azure Data services. The position offers flexible work schedules and competitive benefits.

Benefits

Flexible schedules

Health and wellness benefits

Access to professional development resources

Qualifications

• 6–10 years of experience in data quality assurance in enterprise data platforms.
• Strong analytical and problem-solving skills with keen attention to detail.
• Experience testing data ingestion pipelines and real-time processing.

Responsibilities

• Lead efforts in validating data pipelines and machine learning models.
• Design and implement automated testing frameworks for big data.
• Establish and maintain data quality metrics, including anomaly detection.

Skills

Data quality assurance

Analytical skills

SQL proficiency

Test automation using Python

Machine learning testing

Education

Bachelor's or Master's degree in Computer Science

Tools

Microsoft Azure

Python

JavaScript

C#

Job description

Overview

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Quality Engineer - REMOTE. In this role, you will be instrumental in validating data integrity, accuracy, and performance across various data platforms. Your expertise will drive the success of AI and analytics initiatives, ensuring products achieve the highest standards of quality and reliability. Collaborating closely with cross-functional teams, you will contribute to establishing robust data governance practices and metrics that bolster the overall efficacy of our client’s data products.

Accountabilities

• Lead efforts in validating data pipelines, machine learning models, and analytics platforms.
• Design and implement automated testing frameworks for big data on Microsoft Azure.
• Develop automated validation for data quality, schema, lineage, and model performance.
• Establish and maintain data quality metrics, including anomaly detection.
• Collaborate with data scientists and ML engineers to define quality requirements.
• Promote best practices in version control, peer reviews, and reproducibility standards.

Requirements

• 6–10 years of experience in data quality assurance in enterprise data platforms.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Proficiency in Azure Data services and advanced SQL skills.
• Experience testing data ingestion pipelines and real-time processing.
• Familiarity with test automation using Python, JavaScript, or C#.
• Masters or Bachelor\'s degree in Computer Science, Data Analytics, or related field.

Benefits

• Opportunity to work in a remote environment with flexible schedules.
• Collaborative team culture focused on innovation and continuous improvement.
• Access to professional development resources and training.
• Competitive salary and performance-based bonuses.
• Health and wellness benefits.

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role\'s core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.