[Hiring] Azure Data Lake (ADLS) Data Platform Specialist @BCD

Role Description

We are seeking an experienced Azure Data Platform Engineer to design and implement a scalable, secure, and high-performing data platform. This role will be instrumental in integrating data from multiple source systems (including SAP HANA) into a unified data lake and reporting layer.

You will play a key role in enabling standardized global financial reporting, improved data visibility, and analytics capabilities across the business.

• Design, develop, and maintain data ingestion pipelines, establishing standards for data ingestion, transformation, and storage, and integrating data from multiple management and financial systems (batch and streaming).
• Design and implement a modern data platform using Azure (ADLS Gen2-based architecture).
• Define data architecture patterns, including medallion (bronze/silver/gold) layers.
• Build scalable ETL/ELT pipelines using Azure Data Factory.
• Handle diverse data formats (structured, semi-structured).
• Design and implement data lake architecture in Azure Data Lake Storage (ADLS Gen2).
• Structure and manage data using bronze/silver/gold layers (medallion architecture).
• Optimise data storage, partitioning, and performance.
• Integrate ADLS with Azure Data Factory (ADF), Azure Synapse Analytics / Databricks, and Power BI and downstream analytics tools.
• Implement data governance, security, and access controls (RBAC, IAM, ACLs).
• Ensure data quality, lineage, and metadata management.
• Support business teams with data modelling and availability.
• Monitor performance and troubleshoot data platform issues.
• Implement partitioning, indexing, and data lifecycle management.
• Optimize cost vs performance in Azure.
• Manage large-scale datasets efficiently.
• Define and implement access control (RBAC, ACLs) and data security and compliance standards.
• Ensure consistency of financial data across regions.
• Support data lineage and auditability for finance.

Qualifications

• Proven experience designing and implementing Azure data platforms.
• Strong hands-on experience with Azure Data Lake Storage (ADLS) and Azure Data Factory (ADF).
• Experience integrating ERP and finance systems (SAP highly desirable).
• Strong SQL and Power Query skills and experience working with large datasets.
• Experience with data modelling for financial reporting.
• Proficiency in Python or Spark (Databricks preferred but not essential).
• Experience building end-to-end data pipelines.
• Understanding of data lake vs warehouse vs Lakehouse patterns and financial data structures and reporting requirements.

Benefits

• Flexible Working: A flexible working environment to support you in working where and when you need to.
• Room to Grow: Opportunities for learning and development built into every role.
• Everyone has a voice: Conversations that spark curiosity and empathy are encouraged.
• Make your move: Opportunities for career advancement across global locations.
• Comprehensive benefits including healthcare, retirement plans, continued education support, and more.
• Supportive leadership that believes in positivity and trust.