Data Engineer

3 days ago

Amman, Amman, Jordan Optimiza Full time 25,000 - 50,000 per year

Location: Jordan

The Opportunity

As a Data Engineer – AIoT and IoT Analytics, you will design and implement intelligent data infrastructure for ingesting, processing, and analyzing large-scale sensor and machine data. You'll build reliable, secure, and scalable pipelines—both in the cloud and at the edge—powering analytics and AI across distributed IoT systems. You'll also bring Infrastructure as Code (IaC) principles to automate and standardize deployments for AIoT data platforms.

Key Responsibilities

Design and implement streaming and batch data pipelines for ingesting telemetry, time-series metrics, and edge-generated events

Build and extend AIoT DataOps and MLOps components to support model versioning, deployment, and continuous training

Build data ingestion and processing pipelines for structured and unstructured IoT data.

Apply Infrastructure as Code (IaC) practices to provision, version, and automate deployment of data processing platforms using tools like Terraform, Pulumi, or Ansible

Implement data governance, quality checks, and policy enforcement across environments

Collaborate with solution architects, data scientists, and embedded engineers to optimize edge-cloud data pipelines

Collaborate with backend, ML, and product teams

Deploy and monitor infrastructure across hybrid and multi-cloud environments, ensuring high availability, low-latency, and secure communication

Work with MQTT brokers, Kafka, and message-driven architectures to connect data streams from devices to AI pipelines

Enable time-series storage, analytics, and alerting for sensor data, system logs, and inference results

Support real-time analytics for anomaly detection, predictive maintenance, and operational optimization

Standardize infrastructure and pipeline deployment through templated, repeatable workflows integrated with CI/CD

Optimize data workflows for performance and reliability

Drive data performance tuning and architectural decisions based on scale, volume, and velocity requirements

Develop scalable ETL frameworks integrating with our analytics platforms.

Comply with QHSE (Quality Health Safety and Environment), Business Continuity, Information Security, Privacy, Risk, Compliance Management and Governance of Organizations policies, procedures, plans, and related risk assessments.

Requirements

Requirements:

Bachelor's degree in Computer Science, Engineering, or a related technical field

years of experience in data engineering, with a strong emphasis on IoT, streaming, or AI-integrated platforms

Strong programming skills in Python, Scala, or Java, and fluency in SQL

Proven experience with tools like Apache Spark, Flink, Beam, Airflow, ClickHouse, Kafka, or Temporal

Hands-on experience implementing Infrastructure as Code (IaC) using Terraform, Pulumi, or Ansible

Familiarity with containerized data workloads (Docker, Kubernetes) and hybrid deployments

Experience in designing dimensional and time-series data models

Understanding of data lifecycle management, data lineage, and access control

Ability to work across cloud and edge environments, supporting cloud-native and resource-constrained IoT systems

Fluent English and Arabic is required

Benefits

Class A Medical Insurance

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