Fabric Data Engineer

Pipeline architecture: Architect and optimize end-to-end pipelines with Microsoft Fabric Data Factory, Dataflows Gen2, and PySpark and Spark SQL notebooks, built for scale and performance.

Lakehouse and warehouse design: Lead Lakehouse and Warehouse design on the medallion (Bronze, Silver, Gold) pattern, and set the best practices the team follows.

Cloud modernization: Help move on-premise relational data into OneLake and retire legacy data-warehouse systems, accelerating the shift to a modern cloud platform.

Real-time ingestion: Build low-latency streaming pipelines with Fabric Eventstream from sources such as Azure Event Hubs, IoT Hub, and custom applications.

Performance and reliability: Write highly optimized T-SQL, Spark SQL, and PySpark, and own incremental loads, refresh scheduling, and SLA monitoring so pipelines stay dependable.

AI-augmented engineering: Design pipelines that support Retrieval-Augmented Generation, including chunking, embeddings, and vector search, and use LLMs and MCP servers to speed up and improve how the team works.

Data governance: Champion governance through sensitivity labels, role-based access controls, and cataloging in Microsoft Purview.

CI/CD and engineering standards: Drive CI/CD with Fabric deployment pipelines, Git branching strategies, and automated testing for data assets.

Trusted reporting layers: Maintain Power BI semantic models where needed, so enterprise reporting stays consistent and accurate.

Mentorship: Coach Fabric Data Engineer I team members through code reviews, pair programming, and knowledge sharing, and help lead architectural reviews and continuous improvement.

3 to 5 years in data engineering, ETL and ELT development, or a related analytics engineering role.

Strong SQL across T-SQL and Spark SQL, and strong Python with PySpark. Working knowledge of Scala is a plus.

Several years working with Apache Spark and lakehouse data at scale, writing PySpark and Spark SQL notebooks against large datasets, with real performance-tuning experience.

Solid grounding in lakehouse architecture, data warehousing, dimensional modeling, and data vault methodology.

Hands-on experience with Microsoft Fabric or a comparable cloud data platform such as Azure Synapse or Databricks.

Experience with real-time and streaming data at scale, including event-driven architectures and tools like Azure Event Hubs or Kafka.

Familiarity with vector search, embeddings, and Retrieval-Augmented Generation patterns, plus hands-on use of LLMs and AI-assisted development tools.

Strong CI/CD habits across Fabric deployment pipelines, Git, and automated testing.

Demonstrated experience mentoring junior engineers and leading technical initiatives.

Microsoft Certified: Fabric Data Engineer Associate (DP-700) is highly preferred.

A bachelor's degree in a related field, or equivalent practical experience.

This role is multi-pronged, so you do not need every item above. Real strength across several of these areas, plus the drive to grow into the rest, goes a long way.

At arrivia , we power travel loyalty and rewards programs for some of the world's leading brands. Our teams help millions of travelers book memorable experiences while delivering innovative technology and travel solutions to our partners. With a global workforce and a culture built on curiosity, ownership, authenticity, and collaboration, we're creating the future of travel.