We are seeking an experienced Data Engineer to support a large-scale enterprise digital and data transformation program.

This role will focus on the accurate, timely and high-quality migration of data from legacy systems into new business platforms across domains such as Finance, HR, Payroll and Asset Management.

You will work closely with business stakeholders, governance teams and implementation partners to deliver robust data pipelines, data quality remediation and migration validation activities.

Key Responsibilities

• Support end-to-end data migration activities, including analysis, profiling, cleansing, ETL, validation and reconciliation.
• Build data pipelines using Azure services, API data sources and databases.
• Identify data quality issues and drive remediation with business SMEs and data governance stakeholders.
• Define, document and maintain data mappings, transformation rules, data dictionaries and lineage.
• Collaborate with business stakeholders and system owners to clarify data definitions, ownership and requirements.
• Support mock loads, production cutovers and post-load validation activities.
• Develop dashboards or reports to track migration progress and highlight data quality issues.

Key Requirements

• Minimum 5 years’ data engineering or data migration experience in an Azure environment.
• Demonstrated experience delivering at least one end-to-end data migration.
• Strong proficiency in SQL, PySpark, Azure Data Factory, Databricks and Power BI.
• Experience building ETL pipelines across APIs, databases and enterprise systems.
• Working knowledge of CI/CD tools, including Azure DevOps.
• Strong understanding of data structures, data lifecycle and business domains such as Finance, HR, Payroll and Asset Management.
• Excellent documentation, analytical, problem-solving and stakeholder engagement skills.

If this sounds like the right opportunity for you, APPLY NOW.