Data Platform Engineer

BlackStone eIT; Dubai; On-site; AED 120,000 - 180,000; Full time

Benefits offered by this job

Paid Time Off

Performance Bonus

Training & Development

Job summary

A tech company based in Dubai is seeking a skilled Data Platform Engineer. The role involves designing and maintaining data platforms, developing data pipelines, and ensuring data quality. Candidates should have at least 3 years of experience in data engineering, strong SQL skills, and familiarity with cloud technologies like AWS or Azure. The position offers Paid Time Off, performance bonuses, and opportunities for training and development.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 3+ years of experience in data engineering or data platform development.
• Strong proficiency in SQL and experience with PostgreSQL or MySQL.

Responsibilities

• Designing, building, and maintaining scalable data platforms.
• Developing efficient data pipelines and ensuring data quality.
• Implementing ETL/ELT processes for transforming raw data.

Skills

SQL

Python

PostgreSQL

Apache Airflow

Azure Data Factory

Data quality frameworks

Docker

Education

Bachelor's degree in Computer Science or related field

Tools

Azure Data Lake Storage

Redis

dbt

Job description

BlackStone eIT is looking for a skilled Data Platform Engineer to join our dynamic team. You will be responsible for designing, building, and maintaining scalable data platforms that support the company's data processing and analytics needs.

In this role, you will collaborate with data engineers, analysts, and other stakeholders to develop efficient data pipelines, ensure data quality, and contribute to the overall data infrastructure architecture. This is a fantastic opportunity to advance your career by working with cutting‑edge technologies and helping shape BlackStone eIT’s data capabilities.

Key Responsibilities

• Python — async data pipelines, background jobs, scripting
• PostgreSQL — schema design, migrations (Alembic), query optimization
• Azure Data Lake Storage + Synapse Analytics
• dbt — transformation, testing, documentation
• Apache Airflow or Azure Data Factory
• Data quality frameworks (Great Expectations, dbt tests, or custom)
• Observability — structured logging, alerting, Azure Monitor or Prometheus/Grafana
• Microsoft Graph API — SharePoint, M365 data extraction
• Redis — queue management, caching
• Docker — containerized pipeline jobs
• SQL — advanced analytical queries, window functions, performance tuning
• Develop and maintain data pipelines for ingestion, processing, and storage of large datasets
• Implement ETL/ELT processes to transform raw data into usable formats
• Collaborate with cross‑functional teams to understand data requirements and deliver solutions
• Ensure data quality, consistency, and reliability across platforms
• Optimize database performance and monitor platform health
• Assist in the design and implementation of data governance and security measures
• Document data infrastructure and processes for operational clarity

Requirements

• Bachelor's degree in Computer Science, Information Technology, or a related field
• 3+ years of experience in data engineering or data platform development
• Proficiency in SQL and experience with relational databases like PostgreSQL or MySQL
• Familiarity with data pipeline and ETL tools such as Apache Airflow, Azure Data Factory, or similar
• Experience with cloud platforms (AWS, Azure, or Google Cloud)
• Knowledge of Python or another programming/scripting language for data processing
• Understanding of data security, governance, and quality best practices
• Strong analytical and problem‑solving skills
• Good communication skills and ability to work effectively in a team environment

Benefits

• Paid Time Off
• Performance Bonus
• Training & Development