Senior Specialist Data Engineering

Description

Summary: This role involves engineering the data foundation for Ooredoo's AI and digital transformation agenda, designing and operating scalable data pipelines and products on GCP. Highlights: 1. Design and operate scalable, governed data pipelines and data products on GCP 2. Translate business and analytical needs into production-ready data products 3. Integrate and migrate on-premises data sources to GCP About Us: Ooredoo is a dynamic global Telecommunications player operating in 10 countries serving more than 138 million customers. Ooredoo Qatar employs approximately 1,600 people driving Ooredoo to be the number one choice for world\-class communications services in Qatar, and it is a team that you can be part of! About the Business Unit: Ooredoo places strong emphasis on a data\-driven culture. In an ever\-changing business landscape, there is increasing organizational focus on using AI/ML in day\-to\-day practice to create value, efficiency, and diversification. The AI Hub division is responsible for putting in place and executing the data \& AI roadmap, business plan, and strategy. Ooredoo is building cloud platform\-based solutions that hosts the data platform and supports analytics, ML and Gen AI/agentic uses cases. About the Role: This role is engineering the data foundation that powers Ooredoo's AI and digital transformation agenda. The Senior Specialist, Data Engineering designs, builds, and operates scalable, governed data pipelines and data products on Ooredoo's Google Cloud Platform (GCP) data platform, the program's primary data layer and the source of truth for operational, network, and analytical data. Working alongside the data platform delivery partner, data science, and commercial teams, the role translates business and analytical needs into production\-ready, reusable data products that serve analytics, reporting, and AI/ML workloads across customer value management (CVM), marketing, digital sales, and customer care — while ensuring on\-premises sources (Teradata, Informatica, Qlik) are reliably integrated and progressively migrated to GCP.For more details,please click here. About You:* 10 years' experience in a similar role. * Prior experience in data engineering, ETL development, and enterprise data warehousing. * Strong hands\-on GCP data engineering — BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, and Cloud Storage — with dbt (or equivalent) for SQL. transformation, testing, and lineage. * Expertise in Informatica for ETL/ELT workflow design, automation, and data quality. * Deep understanding of building analytical data stores, feature stores, and curated datasets used by data scientists and analysts. * Strong command of advanced SQL (window functions, aggregations, complex transformations) and Python for data engineering. * Experience designing curated, and consumption layers and feature stores, with sound data\-modelling skills (dimensional modelling, star schema, third normal form). * Experience supporting BI/reporting platforms such a SAP BusinessObjects, and QlikSense, including data modeling for consumption layers. * Experience supporting BI and consumption platforms e,g, Looker (preferred), SAP BusinessObjects, and QlikSense — including data modelling for consumption layers. * Understanding of data governance, metadata management, lineage, data quality, privacy, and security principles. * Awareness of feature stores, vector stores, and data pipelines that support AI/ML and GenAI (e.g., RAG) use cases is an advantage. * Strong communication and stakeholder\-management skills, with the ability to explain technical concepts in business\-friendly language.