Data Steward: PIM & Product Data Quality (Remote)

AgileEngine; Lublin; Hybrid; PLN 242,000 - 335,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine is seeking a Data Steward to own how product information moves from business teams to market, validating, enriching, and syndicating data through inRiver across channels. It’s a cross-functional role with breadth: resolving data gaps at the source, maintaining syndication templates, and keeping product data accurate and channel-ready.

For someone who takes pride in data quality and wants visibility across the full product data lifecycle, this is for you.

Qualifications

• 3+ years of experience in data management.
• Understanding of data lifecycle.
• Experience using multiple tools for data management and stewardship.
• Experience with inRiver or PIM tools (Salsify, Informatica, Akeneo).
• Experience with PIM data syndication for retailers or marketplaces.
• Proficiency in Excel.
• Ability to work under tight deadlines.
• Strong communication skills.
• Fluent English level.

Responsibilities

• Validate product data across core systems to ensure completeness and accuracy.
• Upload product data into PIM systems and resolve data gaps with stakeholders.
• Support business teams with product data issues across channels.
• Communicate data requirements to stakeholders to ensure data quality aligned with product launch timelines.
• Create, track, and report on product data and launch status.
• Maintain and reconfigure syndication templates in inRiver.

Skills

Data management

Data lifecycle

Excel

inRiver

Salsify

Informatica

Akeneo

English communication

Tools

PIM systems

Job description

AgileEngine is seeking a Data Steward to own how product information moves from business teams to market, validating, enriching, and syndicating data through inRiver across channels. It’s a cross-functional role with breadth: resolving data gaps at the source, maintaining syndication templates, and keeping product data accurate and channel-ready.

For someone who takes pride in data quality and wants visibility across the full product data lifecycle, this is for you.