Data Platform Engineer

Salt Digital Recruitment; Dubai; On-site; AED 250,000 - 380,000; Full time

Job summary

Salt Digital Recruitment in the United Arab Emirates seeks a Data Platform Engineer to build and scale reliable data infrastructure and pipelines for analytics across the organization.

You will design and optimize batch and streaming data flows using Spark, Kafka, and Flink, write production-grade code in Python/Go/Java, and collaborate with product, analytics, and engineering teams to meet SLAs.

Qualifications

• 4-6 years of experience in data platform or data engineering roles.
• Strong proficiency in SQL with relational and NoSQL databases.
• Hands-on experience with Airflow, DBT, Spark, or Flink.
• Experience with streaming or batch data processing systems.
• Proficiency in at least one programming language (Python, Go, or Java).
• Familiarity with cloud platforms (AWS, GCP, or Azure).

Responsibilities

• Build and maintain ETL/ELT pipelines for structured and unstructured data.
• Design, develop, and optimize batch and streaming pipelines using Kafka, Spark, or Flink.
• Ensure data integrity, availability, and performance across data systems.
• Design and optimize data models for analytics and product use cases.
• Write clean, production-grade code and build internal tooling.
• Collaborate with product, analytics, and engineering teams to define data needs.
• Deliver reliable infrastructure and data solutions that meet SLAs.
• Implement monitoring, alerting, and logging for data pipelines.
• Write automated tests for data transformations and pipeline logic.
• Drive best practices for scalability, cost efficiency, and data governance.

Skills

SQL proficiency

Relational and NoSQL databases

Python

Go

Java

Cloud platforms

Tools

Airflow

DBT

Spark

Flink

Kafka

Job description

About the Role

We are seeking a skilled Data Platform Engineer to build and scale reliable data infrastructure and pipelines. You will enable analytics, product, and business teams by ensuring high-quality, performant, and accessible data across the organization.

What You Will Do

• 1. Data Platform & Pipelines
  • a. Build and maintain ETL/ELT pipelines for structured and unstructured data.
  • b. Design, develop, and optimize batch and streaming pipelines using tools such as Kafka, Spark, or Flink.
  • c. Ensure data integrity, availability, and performance across data systems.
  • d. Design and optimize data models for analytics and product use cases.
• 2. Backend & Data Engineering
  • a. Write clean, maintainable, production-grade code (preferably Python, Java, Go, or Ruby) to support: Data workfl ows Internal data services Integrations and automation
  • b. Build internal tooling to improve data reliability and developer productivity.
• 3. Collaboration & Delivery
  • a. Partner with product, analytics, and engineering teams to defi ne data needs and infrastructure requirements.
  • b. Contribute to cross-functional system design discussions and architectural reviews.
  • c. Ensure delivery of reliable infrastructure and data solutions that meet SLAs.
• 4. Quality & Best Practices
  • a. Implement monitoring, alerting, and logging for data pipelines.
  • b. Write automated tests for data transformations and pipeline logic.
  • c. Drive best practices for scalability, cost effi ciency, and data governance.

What You Will Need:

• 1 4-6 years of experience in data platform or data engineering roles.
• Strong profi ciency in SQL and experience with relational and NoSQL databases.
• Hands-on experience with Airfl ow, DBT, Spark, or Flink.
• Experience with streaming or batch data processing systems.
• Profi ciency in at least one programming language (Python, Go, or Java).
• Familiarity with cloud platforms (AWS, GCP, or Azure).

Nice to Have:

• Experience with real-time streaming (Kafka, Kinesis, Pub/Sub).
• Exposure to data warehouses (Snowfl ake, BigQuery, Redshift).
• Experience operating data platforms in high-scale or fi ntech domains.
• Understanding of data security, privacy, and compliance.