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We are seeking a technically proficient and business-aware Data Modelling & Engineering Specialist to join our Data & Analytics team. This role is essential in designing scalable data models, building robust ETL pipelines, and enabling efficient data storage and access across cloud-based platforms. The successful candidate will collaborate with cross-functional teams to ensure data integrity, performance, and accessibility in support of strategic decision-making.
Job Responsibility:
Design and maintain conceptual, logical, and physical data models aligned with business requirements
Apply dimensional modelling techniques such as star and snowflake schemas for analytics and reporting
Ensure consistency, integrity, and optimisation across data models
Develop and maintain ETL pipelines using SQL and modern tools
Write efficient SQL scripts for data extraction, transformation, and loading
Conduct data validation and quality checks to ensure reliability
Build and manage data warehouses and lakes on platforms including Azure, GCP, or AWS
Utilise services such as Azure Synapse, BigQuery, or Snowflake for scalable storage and querying
Optimise data storage and retrieval for performance and cost-efficiency
Partner with data analysts, scientists, and business stakeholders to gather and understand requirements
Document data flows, lineage, and metadata to support transparency and governance
Support automation and orchestration of data workflows
Requirements:
Strong proficiency in SQL, including analytical functions and performance tuning
Experienced with ETL tools such as SSIS, Informatica, Talend, or Airflow
Solid understanding of data modelling principles and database design
Familiar with cloud platforms (Azure, GCP, AWS) and data warehousing concepts
Knowledge of data governance, security, and GDPR compliance is advantageous
Comfortable working in agile environments and collaborating across teams
What we offer:
Opportunity to work on cutting-edge cloud data platforms and tools
Exposure to cross-functional collaboration and agile delivery environments
A chance to contribute to strategic data initiatives that impact business decisions
Be part of a global organisation driving digital transformation