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
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