Middle Data Steward

N-iX; Kraków; Remote; PLN 55,000 - 96,000; Part time

Benefits offered by this job

Flexible working format

Professional development tools

Knowledge sharing events

Job summary

N-iX is seeking a Data Steward for the M&S Cockpit project. You will act as a central liaison among business stakeholders, data providers, and technical teams to ensure data quality and governance across datasets used for reporting and analytics.

The role focuses on understanding business requirements, coordinating validation, and resolving data discrepancies to deliver reliable, business-ready datasets for downstream consumers within a 20-hour work week (4 hours per day) in CET business hours.

Qualifications

• Experience in data governance and data quality across multiple sources.
• Ability to translate business needs into data definitions and validation rules.
• Proven stakeholder management with cross-functional teams.

Responsibilities

• Act as Data Steward for M&S Cockpit ensuring data quality and alignment with business requirements.
• Coordinate data validation with stakeholders and technical teams.
• Identify data issues, gather requirements, and translate into actionable tasks.
• Monitor data quality, investigate discrepancies, and drive corrective actions.
• Collaborate with Data Engineers to improve data flows and reliability.
• Maintain data definitions, business rules, and mapping documentation.

Skills

Data governance

Stakeholder management

Data quality

Data validation

SQL

Problem solving

Communication

Independent work

Tools

Databricks

Snowflake

Power BI

Job description

Act as the Data Steward for M&S Cockpit, serving as a key liaison between business stakeholders, data providers, and technical teams for one of the biggest food and beverages company - a long-temr customer of ours. The role focuses on understanding business requirements, coordinating data validation activities, ensuring data quality and consistency, and resolving discrepancies across sources, mappings, and reporting outputs. It combines stakeholder management, business analysis, and data governance, ensuring that datasets are reliable, aligned with business expectations, and ready for downstream consumption.

The Data Engineering team builds and maintains pipelines, while mappings and configurations determine cell/model scope; Snowflake extraction jobs run SQL through Databricks, with Blob Storage, validation, Medallion transformations, Power BI review, and Gold delivery to Ekimetrics. The operating model also requires end-to-end triage across MDFA, CDF, WPP, Data Foundation, Redmill, and market stakeholders rather than treating every discrepancy as a coding defect.

Key responsibilities

• Act as a Data Steward for the M&S Cockpit, ensuring data quality, consistency, completeness, and alignment with business requirements.
• Serve as a key point of contact for business stakeholders, including Product, CMIA/markets, WPP/MDFA, CDF, data providers, and Ekimetrics, to understand data needs, clarify expectations, and coordinate priorities.
• Facilitate discussions with stakeholders to identify data issues, gather requirements, agree on definitions, and translate business needs into actionable tasks for technical teams.
• Coordinate data validation activities, ensuring that new data sources, market updates, and reporting outputs meet agreed business expectations.
• Monitor and investigate data-quality issues, including missing data, inconsistencies, anomalies, incorrect mappings, taxonomy differences, and reporting discrepancies.
• Collaborate with Data Engineers and other technical teams to resolve data issues, improve data flows, and ensure reliable delivery of information.
• Maintain and improve data definitions, business rules, mapping documentation, and data governance standards across multiple sources and markets.
• Support stakeholder communication by providing regular updates on data quality, issue resolution, delivery readiness, and outstanding risks.
• Identify opportunities to improve data governance, streamline validation processes, and strengthen collaboration between business and technical teams.
• Recommend practical automation, reliability, performance, and maintainability improvements while respecting platform standards and business-validation ownership.

coordinate and technically enable business validation, not replace the data owner

Must-have technical competencies

• Experience as a Project Manager, Business Analyst, Data Steward, or similar role, preferably in data-driven projects or large corporate environments.
• Strong understanding of data management, data quality, data validation, and data governance principles.
• Proven experience working with multiple business stakeholders, gathering requirements, managing expectations, coordinating activities, and driving issues to resolution.
• Ability to translate business requirements into data definitions, validation rules, mappings, and actionable tasks for technical teams.
• Strong analytical and problem-solving skills, including investigating data discrepancies, identifying root causes, and coordinating corrective actions.
• Experience coordinating cross-functional teams, including business users, Data Engineers, external data providers, and reporting teams.
• Excellent communication, stakeholder management, and organizational skills, with the ability to explain complex data issues to non-technical audiences.
• Ability to work independently, prioritize competing requests, maintain documentation, and ensure timely delivery of business-ready datasets.
• Good understanding of data pipelines, ETL processes, SQL, databases, and reporting tools is a plus

*This is 4-hour role, for a 20-hour working week that requires coverage within the 08:00 - 17:00 CET timezone, Mon-Fri

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing