Data Platform Engineer
At a glance
Mid-level Data Engineering role at BlackStone eIT. Dubai · full-time.
Pay not stated Data Platform Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and run pipelines that ingest, process and store large datasets
- Turn raw data into usable outputs through ETL or ELT workflows
- Work with teams to clarify data needs and deliver platform solutions
- Check data reliability, tune database performance and monitor platform health
- Document infrastructure and processes, while supporting governance and security measures
What you bring
- A bachelor's degree in computer science, information technology or a related area
- At least three years working in data engineering or platform development
- Strong SQL and relational database experience, such as with PostgreSQL or MySQL
- Experience with pipeline tools and a cloud platform, plus Python or another scripting language
Who this fits
This mid-level, full-time role suits someone who builds data pipelines and supports platform reliability. You must work on-site in Dubai.
From the employer
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
Required Skills & Technologies
- 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
Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Engineering
Find me workBy the team behind dataroles.