Data Engineer jobs in United Arab Emirates
Lead Data Engineer: Architect Scalable Data (Dubai)
Coders Connect
Offshore Mechanical Asset Data Engineer
Jan De Nul Group
Data Engineer: Big Data Pipelines, ETL & Analytics
Bybit
Discover more opportunities than anywhere else. Find more jobs nowSenior Data Engineer – (6 to 8 yrs exp)
Landmark Group
AI Data Engineer
High Street Resources
Connect with headhunters to apply for similar jobsData Engineer: Scalable Pipelines & Data Lakes
DataScience LLC
Senior Azure Data Engineer — Data Platforms & Insights
Landmark Group
AI Data Engineer: Automate & Orchestrate Real-Time Finance
High Street Resources
Senior PLSQL & BI Data Engineer (ODI/OBIEE)
Raqmiyat
Azure AI Data Engineer for Investment Analytics
Michael Page
Lakehouse Data Engineer for AI & ML Pipelines
Deeplight
NLP Data Engineer: Large-Scale AI Data Pipelines
Institute of Foundation Models
Planning Engineer: Data & Automation
Kin-Tec Global Recruitment
Lead Data Engineer
Job summary
A fast-scaling tech company in Dubai is seeking a Lead Data Engineer to architect data systems and design scalable pipelines. This full-time role requires deep expertise in GCP and experience with Airflow, BigQuery, and Dataflow. You will lead technical direction, mentor engineers, and promote data governance. Ideal candidates have over 7 years in data engineering and strong SQL and Python skills. This role offers hybrid or onsite options that provide ownership and autonomy.
Qualifications
- 7 years in data engineering with 2 in architectural or leadership roles.
- Deep experience with cloud-based architectures, specifically GCP.
- Hands-on experience with Airflow, BigQuery, dbt, and Dataflow.
Responsibilities
- Design data models and storage solutions to support analytics at scale.
- Develop automated pipelines ensuring data quality and speed.
- Establish rules for secure data handling, auditing, and retention.
- Set technical direction and mentor engineers within the team.
Skills
Tools
Coders Connect is working with a fast-scaling company building a modern data foundation across regions and we re on the hunt for a Lead Data Engineer to own architecture pipeline design and scalable systems across batch and streaming. This role is based in Dubai with hybrid or onsite options. If you live and breathe data platforms love optimizing workflows and want to shape data culture from the ground up this one s for you.
- 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
This isn t just another data job. You ll be shaping the foundation of a mission-critical platform with ownership autonomy and the chance to drive strategy. Your work will directly impact how the company delivers insight scales globally and grows its product footprint.
Location: Dubai (Hybrid or Onsite)
Type: Full-time
Language: English
Ready to lead the future of data infrastructure Let s connect.
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
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.