Time since we first saw it
Day 12
Similar jobs usually come down between day 4 and day 77.
From 51 similar postings that came down. Coming down is not always a hire.
Work setup in the employer’s posting: TELECOMMUTEFrom the employer’s posting
Design and build the Autonomous Data Quality Control Tower
Create AI agents for designing, detecting, impact, resolution and prevention of data quality issues
Build AI agents that compare source and target systems to control data quality
Orchestrate AI agents for coordinated data quality monitoring
Implement automated remediation through AI agents when issues are detected
design and implement an Autonomous Data Quality Control Tower
Create and automate Data Quality AI agents, including DQ Designer, DQ Detective, DQ Impact, DQ Resolution, and DQ Prevention
Develop AI agents to control data quality by comparing source and target systems
Enable orchestration across AI agents to support coordinated data quality monitoring
Implement remediation actions through AI agents when data quality issues are detected
3+ years of experience in data quality engineering
Expertise in Data Quality, SQL, and Databricks
Proficiency in database management
Familiarity with SAP HANA, SAP Datasphere, and SAP AI Joule
Knowledge of Golden Path, Claude, and n8n
We are looking for a Data Quality Engineer to design and implement an Autonomous Data Quality Control Tower, building intelligent AI agents that monitor, detect, and resolve data quality issues across enterprise systems. Responsibilities Consult on and create the Autonomous Data Quality Control Tower Create and automate Data Quality AI agents, including DQ Designer, DQ Detective, DQ Impact, DQ Resolution, and DQ Prevention, with associated metrics and data checks Develop AI agents capable of answering key questions such as why quality is changing, what matters to the business, what should happen next, and how to stop recurrence Develop AI agents to control data quality by comparing source and target systems Enable orchestration across AI agents to support coordinated data quality monitoring Implement remediation actions through AI agents when data quality issues are detected Requirements 3+ years of experience in data quality engineering Expertise in Data Quality, SQL, and Databricks Proficiency in database management Familiarity with SAP HANA, SAP Datasphere, and SAP AI Joule Knowledge of Golden Path, Claude, and n8n English proficiency at B2 level or higher
Actively hiringFirst seen by us 12 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 12
Similar jobs usually come down between day 4 and day 77.
From 51 similar postings that came down. Coming down is not always a hire.
673 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordCheck the employer’s posting for the current role and application details.
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Yes. We’ve followed 2 other Data Quality Engineer jobs there since November 2026. All 2 are still up.
New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 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.
We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
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