Lead Data Engineer
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Job Description
About the Role
- Architect Scalable Data Systems: Design data models flow strategies and storage solutions to support analytics and ops at scale including real-time batch needs.
- Build End-to-End Pipelines: Develop robust automated pipelines using GCP Airflow BigQuery dbt and Dataflow ensuring data quality and speed across the board.
- Data Governance & Quality: Establish rules for secure handling auditing retention and lineage. Promote transparency trust and compliance.
- Lead & Collaborate: Set technical direction mentor engineers and collaborate with analytics engineering and product teams to deliver impactful data products.
- 7 years in data engineering (2 in architectural or leadership roles)
- Solid SQL & Python skills tested modular clean
- Deep experience with cloud-based architectures (GCP required)
- Hands-on with Airflow BigQuery dbt Dataflow
- Strong knowledge of distributed systems and modern data architecture (streaming events etc.)
- Experience in regulated environments a plus
- Know your way around semantic modeling or BI enablement
- Have experience with infrastructure automation
- Can balance velocity quality and long-term scalability
- Care about team culture as much as code quality
Location: Dubai (Hybrid or Onsite)
Google Cloud Platform (GCP) expert-level (non-negotiable) BigQuery data warehousing, query optimization Dataflow stream and batch data processing Airflow orchestration and DAG scheduling dbt (Data Build Tool) transformation and modeling in SQL Python scripting, automation, data processing SQL advanced querying and performance tuning
Employment Type
Full Time
Company Industry
Entertainment Providers / Recreational Facilities / Amusement Parks and Arcades
