Senior Data Platform Engineer — Real-Time, High-Scale Backend

Analog; Abu Dhabi; On-site; AED 450,000 - 650,000; Full time

Job summary

Analog is building the connective tissue between people, cities, and technology. We need a senior data engineer who can design and scale the data platform that underpins all products, from ingestion to storage and pipelines, not just implement someone else\'s blueprint.

You’ll own architecture for high-scale backend systems, work with Spark, Airflow, and cloud data infrastructure (AWS or GCP), and partner with engineers to deliver reliable, real-time data for on-site robots and live events.

Qualifications

• Deep backend engineering experience in high-scale, production systems.
• Strong hands-on experience with distributed data processing (Spark) and workflow orchestration (Airflow).
• Real experience designing data architecture from scratch: schema design, storage tradeoffs, ingestion at scale.
• Solid grounding in cloud data infrastructure (AWS or GCP) and the operational side of running it.
• Comfortable owning ambiguity: this is an early platform, not a mature one with a playbook written.

Responsibilities

• Designing and building the core data infrastructure that feeds Analog's products: ingestion, transformation, storage, and the pipelines connecting all of it.
• Making architectural calls on how we handle data at scale, not just executing someone else's spec.
• Building for reliability and performance from day one, since this platform will sit underneath products already live with real users, governments, and enterprise partners.
• Working directly with the engineers building Hive, RaaS, and our other product lines to understand what they actually need from the data layer, and building it with them, not for them.

Skills

Deep backend engineering

Spark

Airflow

Data architecture design

Cloud infrastructure (AWS/GCP)

Owning ambiguity

Tools

Spark

Airflow

dbt

Iceberg

AWS

GCP

Job description

Analog is building the connective tissue between people, cities, and technology. We need a senior data engineer who can design and scale the data platform that underpins all products, from ingestion to storage and pipelines, not just implement someone else\'s blueprint.

You’ll own architecture for high-scale backend systems, work with Spark, Airflow, and cloud data infrastructure (AWS or GCP), and partner with engineers to deliver reliable, real-time data for on-site robots and live events.