Data Consultant - Data Remediation and Master Data

Hydrogen UK Ltd; Sydney; Hybrid; AUD 148,000 - 221,000; Full time

Job summary

Hydrogen UK Ltd is seeking a senior Data Consultant for a data remediation and master data initiative in Sydney. Hybrid role with 2 days onsite, initial 3-month day-rate contract.

The candidate will diagnose the current data landscape, identify root causes, and establish a prioritised roadmap for remediation across master data, product, inventory and operational data. A hands-on approach is required to trace data across systems and collaborate with technical and business teams.

Qualifications

• Strong experience in data remediation and data quality controls.
• Hands-on with Master Data Management and data profiling.
• Advanced SQL skills and ability to trace data across systems.
• Experience in retail or high-volume multi-site environments is a plus.

Responsibilities

• Lead a detailed assessment of data quality across legacy retail and operational systems.
• Perform data profiling, mapping, and analysis to identify outdated or inconsistent records.
• Conduct root-cause analysis to explain why issues occur and prioritise fixes.
• Produce a diagnosis report and a prioritised remediation backlog.
• Trace data end-to-end across multiple upstream and downstream systems.

Skills

Data remediation

Data quality

MDM

SQL

Data profiling

Root-cause analysis

Retail domain

Stakeholder mgmt

Job description

Data Consultant - Data Remediation & Master Data

Day rate contract

Initial 3 Months

Sydney | Hybrid - 2 Days Onsite

The Opportunity

We're partnering with a retail organisation on a high-priority data remediation initiative supporting several major digital and operational transformation programs.

The organisation is investing heavily in AI-enabled forecasting and operational optimisation, but legacy data quality issues across its store technology ecosystem need to be addressed before the broader program can progress.

We're looking for a senior, hands-on Data Consultant who can come in, diagnose the current data landscape, identify root causes and establish a prioritised roadmap for remediation.

This is not purely a technical SQL role. You'll need to understand master data, retail operations and how data moves across interconnected systems

Responsibilities

• Lead a detailed assessment of data quality issues across legacy retail and operational systems.
• Perform data profiling, mapping and analysis to identify outdated, inconsistent or inaccurate records.
• Conduct root-cause analysis, identifying not just where data issues exist but why they are occurring.
• Produce a detailed diagnosis report and establish a prioritised remediation backlog.
• Trace data end-to-end across multiple upstream and downstream systems.
• Work hands-on within systems, including running test transactions and validating how data is created, transformed and consumed.
• Analyse complex Master Data structures, including product, recipe, inventory and operational data.

Skillset

• Strong experience in data remediation, data quality and Master Data Management.
• Advanced SQL skills, including complex joins and analysis across multiple tables and datasets.
• Experience investigating and resolving data quality issues across interconnected systems.
• Strong understanding of data profiling, mapping, validation and root-cause analysis.
• Experience within retail, FMCG, convenience, fuel or another high-volume multi-site environment.
• Understanding of how product, inventory and operational data flows through a retail technology ecosystem.
• A genuinely hands-on approach - you'll be comfortable getting into systems, interrogating data and tracing issues rather than simply managing the work.
• Strong stakeholder management skills across both technical and business teams.