Software Engineer (Data) Dubai, United Arab Emirates View & apply

Prypco; Dubai; On-site; AED 300,000 - 520,000; Full time

Job summary

PrypcO is building the data platform that powers decision-making across the company. As a Software Engineer (Data), you will design and operate systems that make data reliable, accessible, and easy to work with for every team that depends on it.

You will own problems end-to-end, from architecture to automation, and partner closely with the people who use what you build, including Product, Engineering and Data Science.

Qualifications

• Bachelor's or Master's in CS or equivalent experience.
• Strong proficiency in Python, SQL, and Unix shell scripting.
• Experience with Agile practices including TDD, refactoring, CI/CD, and XP.
• Experience designing, implementing, and maintaining ETL pipelines.
• Experience with workflow orchestration tools such as Apache Airflow.

Responsibilities

• Design, build, and maintain efficient data platforms and pipelines.
• Partner with Product, Engineering, and Data Science to translate requirements into scalable solutions.
• Establish data standards, maintain documentation, and manage the company-wide data registry.
• Onboard and support platform users via dashboards and internal tools.
• Plan and execute platform improvements, defining best practices for coding, testing, deployment, and maintenance.
• Use data to guide engineering decisions and continuously improve platform performance.

Skills

Python

SQL

Unix shell scripting

TDD

CI/CD

XP

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

Apache Airflow

Trino

Apache Spark

Snowflake

BigQuery

Docker

Kubernetes

Terraform

Job description

We're building the data platform that powers decision-making across PRYPCO. As a Software Engineer (Data), you'll design and operate the systems that make data reliable, accessible, and easy to work with for every team that depends on it.

You'll own problems end-to-end, from architecture to automation, and partner closely with the people who use what you build.

Key Responsibilities

• Design, build, and maintain efficient, reliable data platforms, streamlining end-to-end data pipelines and automating manual workflows.
• Partner with cross-functional teams (Product, Engineering, and Data Science) to translate ambiguous requirements into practical, scalable solutions.
• Establish and enforce data standards, maintain comprehensive documentation, and manage the company-wide data registry.
• Onboard and support platform users while communicating updates and insights through dashboards, bots, and other internal tools.
• Plan and execute organisation-wide platform improvements, defining best practices for coding, testing, deployment, and maintenance.
• Use data to guide engineering decisions and continuously improve platform performance and reliability.

Requirements

• Bachelor's or Master's degree in Computer Science or a related field, or equivalent practical experience.
• Strong proficiency in Python, SQL, and Unix shell scripting.
• Hands-on experience with Agile engineering practices, including TDD, refactoring, CI/CD, and XP.
• Proven experience designing, implementing, and maintaining custom ETL pipelines.
• Experience with workflow orchestration tools such as Apache Airflow.
• Expertise in distributed data processing and query engines, including tools such as:
  • Trino
  • Apache Spark
  • Snowflake
  • BigQuery

Nice to Have

• Experience building large-scale infrastructure applications and writing maintainable code across multiple programming languages.
• Expertise with cloud platforms (AWS and/or GCP).
• Experience with containerisation and Infrastructure as Code, including:
  • Docker
  • Kubernetes
  • Terraform
• Understanding of modern data architecture, with hands‑on experience applying Data Mesh principles.
• Familiarity with notebook-based data science workflows.
• Experience with monitoring and observability tools such as:
  • New Relic
  • Grafana
  • Prometheus
  • ELK Stack