Data Steward ID48002

AgileEngine; Torremolinos; Híbrido; EUR 40.000 - 60.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth opportunities

Competitive compensation

Exciting projects with Fortune 500 clients

Flexible working schedule

Descripción de la vacante

A leading software development company in Spain seeks a Data Steward to ensure high-quality product data impacts sales across EMEA. This role involves validating product data and resolving gaps, requiring a minimum of 3 years in data management. Proficiency in PIM (InRiver) and strong Excel skills are essential, along with excellent communication abilities in English. The company offers competitive compensation and flexible working options.

Formación

• Minimum of 3 years of experience working with data management principles.
• Ability to leverage multiple tools for data stewardship activities.
• Fluent written and spoken English required.

Responsabilidades

• Validate mandatory product data for accuracy and completeness.
• Upload product data into the PIM system and resolve data gaps.
• Support business teams in using product data.

Conocimientos

Data management principles

Data lifecycle understanding

Excel skills

Communication skills

Herramientas

PIM (InRiver)

ERP systems

Descripción del empleo

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

As a Data Steward, you will play a key role in ensuring high-quality, reliable product data that directly impacts sales performance across the EMEA market. This role sits at the intersection of business and technology, shaping how product information flows through PIM systems and reaches external channels. You’ll have real influence on data standards, processes, and visibility, while collaborating with diverse stakeholders in a structured yet supportive environment. It’s an opportunity to grow your expertise in data stewardship, product information management, and cross-functional collaboration within a global setup.

WHAT YOU WILL DO

• Validate that mandatory product data provided by business teams is accurate and complete;
• Upload product data into the PIM system and resolve data gaps, including coordinating with multiple stakeholders to complete missing information;
• Syndicate product data into channel-specific templates and resolve any related issues;
• Support business teams when they encounter issues using product data for the channel;
• Clarify and communicate data issues and requirements to stakeholders to ensure data quality and accuracy;
• Create, track, and report on the status of product data requests;
• Reconfigure and maintain syndication templates in inRiver.

MUST HAVES

• Minimum of 3 years of experience working with data management principles and practices
• Ability to leverage multiple tools to support data stewardship activities;
• Good understanding of the data lifecycle;
• Experience with PIM, ideally InRiver;
• Experience with ERP systems;
• Strong Excel skills;
• Strong communication skills with both business and technical audiences;
• Fluent written and spoken English.

PERKS AND BENEFITS

• Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
• Exciting projects: Modern solutions with Fortune 500 and top product companies.
• Flextime: Flexible schedule with remote and office options.

Meet Our Recruitment Process

It includes main stages: Application → Coding Challenge → Video Interview → Technical Interview or Interview with the Hiring Manager(s). Each step helps us understand your skills and overall fit.

If it’s a match, you’ll receive an offer.