Azure Data Lake Data Platform Specialist

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BCD Travel

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2006

💼 Consulting

📦 Logistics

🏨 Hospitality

Consulting • Logistics • Hospitality

BCD Travel is a leading business travel management company that simplifies the conversation around corporate travel by offering integrated solutions and services to meet various program goals. With a global network spanning over 100 countries, BCD Travel provides tailored travel management services, risk management solutions, and innovative tools to enhance the travel experience for organizations and their employees. Their expertise in the travel industry has earned them multiple recognitions, and they are committed to sustainability and optimizing business travel programs.

📋 Description

• Design, develop, and maintain data ingestion pipelines, establishing standards for data ingestion, transformation, and storage • Integrate 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) • 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 • Define and implement access control (RBAC, ACLs) and data security and compliance standards.

🎯 Requirements

• 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 • Room to Grow • Everyone has a voice • Extensive benefits including healthcare, retirement plans, continued education support, and employee recognition programs.