The Role
Designs, builds, and maintains enterprise data pipelines from Dynamics 365 F&O into ADLS Gen2, Azure Synapse, and Microsoft Fabric. Develops Spark/PySpark transformations, scalable data models, and curated analytics datasets while ensuring data quality, governance, lineage, and reliability. Analyzes AxDB and finance data structures, supports Dataverse integrations, and collaborates with Finance, Operations, and BI teams to deliver reporting and subscription-based analytics solutions.
Summary Generated by Built In
We are looking for a Data Engineer who will be responsible for designing, developing, and maintaining enterprise-grade data pipelines supporting the organisation’s Travel vertical. This role ensures high-quality data extraction from D365 F&O into Azure Data Lake (ADLS Gen2) and modern analytics platforms (Microsoft Fabric / Azure Synapse / PowerBI).
The role includes building reliable data transformations, understanding AxDB structures and finance domain concepts, and supporting subscription-based analytics solutions. While the primary focus is D365 F&O data engineering, the position incorporates emerging AI-assisted development practices to enhance CI/CD efficiency and development quality.
Job requirements
Nice to Have Skills
Job responsibilities
Benefits
The role includes building reliable data transformations, understanding AxDB structures and finance domain concepts, and supporting subscription-based analytics solutions. While the primary focus is D365 F&O data engineering, the position incorporates emerging AI-assisted development practices to enhance CI/CD efficiency and development quality.
Job requirements
- Strong 3 to 4 years of experience with Dynamics 365 F&O, AxDB schema, tables, entities, and integration concepts.
- Good understanding of Finance and subledger data structures in D365 F&O.
- Hands-on experience with Azure Synapse / Microsoft Fabric, Synapse Link or Fabric Link, ADLS Gen2, and PySpark/Spark.
- Ability to build and manage ETL/ELT pipelines in enterprise environments.
- Strong capability in working with financial data (journals, ledgers, invoices, customer/vendor transactions).
- Working knowledge of Dataverse and Power Platform components relevant to Dynamics.
Nice to Have Skills
- Familiarity with Azure DevOps, version control, branching, PRs, and deployment pipelines (nice-to-have).
- Awareness of CI/CD, YAML pipelines, deployment automation, and reusable engineering templates.
- Exposure to Power BI, data modelling, and analytics concepts.
- Basic understanding of X++, cloud-hosted development environments, and other Dynamics platforms (CE/Sales, Business Central).
- Experience with third-party data feeds (Example- Microsoft Ads, LinkedIn, Google Ads) is advantageous.
- Ability to leverage Copilot, GitHub-Copilot, or similar AI tools for development acceleration, documentation, and automation support.
Job responsibilities
- Design, build, and maintain data ingestion pipelines from Dynamics 365 F&O to ADLS Gen2 using Synapse Link or Fabric Link.
- Develop and optimize transformation logic in Azure Synapse or Microsoft Fabric using Spark/PySpark.
- Analyse AxDB structures and F&O data entities to support analytics and reporting needs.
- Implement scalable, reusable data models for reporting, analytics products, and downstream systems.
- Ensure strong data quality, governance, lineage, and reliability across Travel systems.
- Contribute to subscription-based analytics development by maintaining consistent Fabric/Synapse dataflows, Lakehouse tables, and curated datasets.
- Collaborate with BI teams to ensure analytical outputs are well-modelled, accurate, and performance-optimized.
- Apply functional understanding of core finance processes such as GL, COA, invoicing, billing, and sales orders while translating business requirements into technical solutions.
- Work closely with Finance and Operations teams to interpret requirements and deliver suitable data engineering solutions.
- Support integrations between Dynamics 365 F&O, Dataverse, and related systems, with an understanding of Dataverse structures and synchronization patterns.
Benefits
- Work with cutting-edge Microsoft technologies in a dynamic environment where innovation and growth opportunities are abundant.
- Collaborate with a team of dedicated Dynamics professionals focused on customer success.
- Enjoy the flexibility of a work-life balance that suits your needs.
- Be part of a positive work culture where teamwork and productivity thrive.
- Competitive salary and comprehensive benefits.
- Significant opportunities for career advancement and professional development.
- Inclusive and collaborative work culture.
Skills Required
- 3 to 4 years of experience with Dynamics 365 F&O, AxDB schema, tables, entities, and integration concepts
- Understanding of Finance and subledger data structures in Dynamics 365 F&O
- Hands-on experience with Azure Synapse or Microsoft Fabric, Synapse Link or Fabric Link, ADLS Gen2, and PySpark or Spark
- Experience building and managing enterprise ETL or ELT pipelines
- Experience working with financial data, including journals, ledgers, invoices, and customer or vendor transactions
- Working knowledge of Dataverse and relevant Power Platform components
- Familiarity with Azure DevOps, version control, branching, pull requests, and deployment pipelines
- Awareness of CI/CD, YAML pipelines, deployment automation, and reusable engineering templates
- Exposure to Power BI, data modeling, and analytics concepts
- Basic understanding of X++, cloud-hosted development environments, and other Dynamics platforms
- Experience with third-party data feeds such as Microsoft Ads, LinkedIn, or Google Ads
- Ability to use Copilot, GitHub Copilot, or similar AI tools for development, documentation, and automation
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The Company
What We Do
TravelOperations develops travel-agency management software for travel management companies, online travel agencies, and leisure agencies. Its cloud-based platform combines industry-specific ERP, CRM, and mid- and back-office capabilities to streamline operations, financial control, customer relationship management, collaboration, and data-driven decision-making. The company serves travel businesses across diverse global markets, helping them reduce manual work, modernize workflows, and deliver more efficient, customer-focused experiences.
