About the Role
Coders Connect is working with a fast‑scaling company building a modern data foundation across regions and we are 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 is for you.
WhatYou’ll Be Doing
- 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 Big Query 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 Big Query 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.
Key
Skills:
Google Cloud Platform (GCP) expert‑level (non‑negotiable), Big Query 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, Apache Hive, S3, Hadoop, Redshift, Spark, AWS, Apache Pig, No
SQL, Big Data, Data Warehouse, Kafka, Scala.
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