Data Engineer II: Scalable Cloud Data Pipelines

Delivery Hero; Dubai; On-site; AED 180,000 - 300,000; Full time

Job summary

Delivery Hero in Dubai is seeking a Data Engineer who loves building reliable, scalable, and cost-efficient data systems. You will design and maintain pipelines powering analytics, ML, and product insights using Kafka, GCP, and AWS.

Ideal candidates have a solid data engineering foundation, are curious learners, and enjoy collaborating across teams to deliver data solutions that drive business impact while optimizing for cost and performance.

Qualifications

• 1–3 years of experience in data engineering or related field.
• Proficiency in SQL and Python.
• Understanding of data modeling and ETL/ELT concepts.
• Familiarity with streaming platforms (Kafka, Kinesis).
• Comfort working in cloud environments (GCP, AWS or Azure).
• Strong communication skills to explain technical concepts to non-technical audiences.
• Growth mindset eager to learn, adapt and take on new challenges.

Responsibilities

• Design, build and maintain data pipelines for batch and streaming workloads.
• Work with Kafka for real-time data ingestion and event-driven architectures.
• Leverage GCP and AWS services for storage, processing and orchestration.
• Orchestrate workflows with Airflow and similar schedulers.
• Ensure data quality and reliability through monitoring, alerting and validation.
• Collaborate with analysts, data scientists and product teams to deliver data solutions that drive business impact.
• Optimize for cost and performance across cloud environments.
• Participate in code reviews, documentation and knowledge sharing.

Skills

SQL

Python

Data modeling

ETL/ELT concepts

Cloud platforms

Communication skills

Growth mindset

Tools

Apache Kafka

Kafka Connect

Kinesis

BigQuery

Dataflow

Pub/Sub

Airflow

Terraform

Docker

Kubernetes

GCP

AWS

Azure

Job description

Delivery Hero in Dubai is seeking a Data Engineer who loves building reliable, scalable, and cost-efficient data systems. You will design and maintain pipelines powering analytics, ML, and product insights using Kafka, GCP, and AWS.

Ideal candidates have a solid data engineering foundation, are curious learners, and enjoy collaborating across teams to deliver data solutions that drive business impact while optimizing for cost and performance.