We are looking for a hands-on Data Engineer / Analytics Engineer to join a regional data and analytics team supporting enterprise reporting, business intelligence and data platform initiatives.

This position sits across both the data engineering and reporting layers, making it ideal for candidates who enjoy building scalable data pipelines while also enabling high-quality reporting and analytics solutions for business stakeholders.

The successful candidate will work with modern cloud-based data platforms and play a key role in developing enterprise reporting datasets, maintaining data pipelines and supporting business-critical analytics initiatives.

• Design, develop and maintain scalable ETL/ELT pipelines and data processing workflows.
• Build and improve reporting datasets within Databricks environments.
• Develop Power BI dashboards, semantic models and reporting solutions.
• Create and maintain robust data models, transformation logic and reporting structures.
• Troubleshoot data pipeline, reporting and performance issues across multiple data sources.
• Partner with business stakeholders to gather requirements and translate reporting needs into technical solutions.
• Support enterprise reporting, analytics and data platform modernisation initiatives.
• Ensure data quality, consistency and reliability across reporting and analytics solutions.
• Document data pipelines, business logic and reporting processes to support governance and operational excellence.

• 5+ years of experience in Data Engineering, Analytics Engineering, BI Development or related disciplines.
• Strong hands-on experience with Databricks.
• Strong Power BI development experience, including:
  • DAX
  • Data modelling
  • Power Query
  • Dashboard development
• Advanced SQL development skills.
• Experience developing and supporting ETL/ELT pipelines.
• Strong understanding of data warehousing and dimensional modelling concepts.
• Experience working with large enterprise datasets.
• Ability to engage directly with business stakeholders and gather reporting requirements.
• Strong communication skills and ability to work independently.

• Python and/or PySpark development experience.
• Azure Data Platform exposure (Azure Data Factory, Azure SQL, Microsoft Fabric or related technologies).
• Experience with Databricks SQL, Delta Lake or modern lakehouse concepts.
• Data quality, validation and data-governance experience.
• Experience supporting reporting and analytics initiatives within enterprise environments.
• Exposure to multinational or regional business environments.

• Opportunity to work on an MNC's enterprise analytics and reporting initiatives.
• Exposure to modern cloud-based data platforms and analytics technologies.
• High visibility across multiple business functions and stakeholders.
• Opportunity to work across both the engineering and reporting layers rather than being confined to a single technical discipline.
• Regional role with strong stakeholder engagement and ownership opportunities.