Data Platform Engineer

Remotedxb; Dubai; On-site; AED 420,000 - 660,000; Full time

Job summary

Remotedxb in Dubai is seeking an experienced data/analytics engineer to design and build scalable data systems powering analytics, AI, and BI across the business.

You will replace custom scripts with reproducible pipelines, own core platforms like Snowflake, dbt, Dagster, and ingestion layers, and drive cost optimizations while enabling self-serve tooling for analysts and partners. Strong SQL and Python fluency and production Snowflake experience are essential.

Qualifications

• 5+ years of data engineering or analytics engineering experience
• Strong SQL and Python fluency
• Hands-on production experience with Snowflake
• Deep ETL/ELT fundamentals, including dbt and a modern orchestrator such as Dagster or Airflow
• Proven track record of impact-driven problem-solving in fast-paced environments
• Excellent technical communication skills
• Comfort building from zero
• A sense of ownership, curiosity, and commitment to continuous learning

Responsibilities

• Design and build the data systems that power analytics, AI, and business intelligence across Owner
• Replace one-off custom scripts with reproducible, production-grade pipelines
• Own and evolve core platforms including Snowflake, dbt, Dagster, and ingestion/reverse ETL layers
• Improve data reliability, consistency, and compliance
• Move the team to self-service tooling for analysts and partners
• Identify and drive cost and performance optimizations
• Drive technical decisions and best practices for ingestion, transformation, orchestration, and storage
• Provide thoughtful code reviews and technical guidance to peers

Skills

SQL

Python

Snowflake

dbt

Dagster

Airflow

ETL/ELT

Job description

Responsibilities

• Design and build the data systems that power analytics, AI, and business intelligence across Owner
• Replace one-off custom scripts with reproducible, production-grade pipelines
• Own and evolve core platforms including Snowflake, dbt, Dagster, and ingestion/reverse ETL layers
• Improve data reliability, consistency, and compliance
• Move the team to self-service tooling for analysts and partners
• Identify and drive cost and performance optimizations
• Drive technical decisions and best practices for ingestion, transformation, orchestration, and storage
• Provide thoughtful code reviews and technical guidance to peers

Requirements

• 5+ years of data engineering or analytics engineering experience
• Strong SQL and Python fluency
• Hands-on production experience with Snowflake
• Deep ETL/ELT fundamentals, including dbt and a modern orchestrator such as Dagster or Airflow
• Proven track record of impact-driven problem-solving in fast-paced environments
• Excellent technical communication skills
• Comfort building from zero
• A sense of ownership, curiosity, and commitment to continuous learning

Preferred Qualifications

• Experience building a semantic layer or data infrastructure for AI/ML and LLM retrieval
• Experience with reverse ETL or personalization platforms
• Databricks experience
• Experience with data governance, access control, and cost optimization
• Experience mentoring engineers
• Genuine interest in the product and its customers