Senior Data Engineer Unified Communications (Telecom) Tech Stack: GCP, BigQuery, Cloud Data Fusion, Snowflake, SharePoint, Dashboards & Reporting Our client, a leading telecom provider, is driving a data-first transformation across its Unified Communications (UC) domain. With products distributed across multiple markets, they are now embarking on a critical initiative to unify data under a common data model that spans billing, ticketing, and other core services. The role will play a key part in designing and implementing this future-ready data architecture. KEY RESPONSIBILITIES You will be a senior contributor to the Data Engineering stream, with a focus across Logical Data Modelling (LOD), Data Integration & Implementation, and High-Level Data Design. Your main tasks will include: Logical & High-Level Data Design Define and design a Common Data Model (CDM) to support multiple markets and business domains (billing, ticketing, etc.) Develop logical data models that unify disparate data sources into a single framework Align new data structures with an existing legacy GCP lake that integrates with SharePoint Collaborate with the multiple teams, who will own the High-Level Design (HLD) and deployment activities Data Implementation & Integration Lead the ingestion and transformation of data into the new centralized Data Lake on Google Cloud Platform (GCP) Work alongside the teamresponsible for Low-Level Design (LLD) and implementation Integrate and manage data flow using Cloud Data Fusion, ingesting into BigQuery for analytics and reporting Ensure smooth integration of new data sources with Snowflake, supporting expanded business intelligence capabilities Leverage tools such as the clients Analytics Product and ensure compatibility with Neuron-compatible Data Hub Data Lake & Cloud Strategy Design scalable, cloud-native data pipelines in GCP Work closely with cloud architects to ensure solutions are aligned with enterprise cloud strategy Ensure all integrations meet performance, reliability, and cost-efficiency goals Support migration of data from legacy systems into the new lake architecture Integrate the architecture with enterprise tooling and cloud governance standards Data Governance & Reporting Enable robust reporting and dashboarding using integrated tools and platforms Ensure data quality, governance, and compliance across integrated systems Collaborate with BI teams for delivery of insights via dashboards and visualizations KEY SKILLS & EXPERIENCE Proven experience in Data Engineering, particularly within complex, multi-market environments Expertise in: Google Cloud Platform (GCP) BigQuery, Cloud Data Fusion Snowflake integration Building Data Lakes and data pipelines Strong background in logical data modelling (LOD) and implementing common data models Hands-on experience implementing data reporting and dashboards creation Comfortable operating across both legacy and modern cloud-based data infrastructures Experience within the telecom industry or other highly data-driven sectors is a plus Soft Skills Strong communicator with the ability to manage technical and non-technical stakeholders Self-starter who can lead complex design and implementation workstreams Collaborative mindset, comfortable working across distributed, cross-functional teams Technology Stack Google Cloud Platform (GCP) BigQuery, Cloud Data Fusion Snowflake SharePoint Analytics Product Neuron-compatible Data Hub