Data Engineer - Databricks

Ovii's Interpretation of the Role

Flentas seeks a senior Data Engineer to design, build and optimise scalable data pipelines and lakehouse solutions on Databricks and AWS. The role involves end‑to‑end ETL/ELT development, performance tuning and close collaboration with data scientists and business stakeholders.

Role Snapshot

• Design and maintain batch & real‑time data pipelines
• Build data lakes, lakehouses and warehouses
• Develop with Python, PySpark and Databricks
• Optimise Spark jobs, SQL queries and cloud costs
• Implement ETL/ELT processes on AWS
• Ensure data quality, security and governance
• Collaborate with cross‑functional teams

Must-Have Requirements

• Python
• PySpark
• Databricks
• SQL
• AWS Cloud
• Delta Lake
• Lakehouse architecture
• ETL/ELT pipeline development
• Apache Airflow or equivalent
• Git
• Data Engineering
• Big Data
• Cloud Data Platforms

Work Setup

• Location: Dubai, United Arab Emirates
• Work mode: ONSITE
• Employment type: Full-Time

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility
• Education requirement
• Certifications
• Relocation
• Notice period
• Travel
• Security clearance
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Design, develop and maintain scalable batch and streaming pipelines
• Create ingestion frameworks for structured, semi‑structured and unstructured sources
• Build and optimise transformation workflows using Python, PySpark and Databricks
• Implement and manage enterprise‑scale ETL/ELT pipelines
• Architect Data Lakes, Lakehouses and Data Warehouses
• Apply data quality, security and governance standards
• Tune Spark jobs, SQL queries and cloud resources for performance and cost
• Set up monitoring, logging and alerting for pipeline health

Good Fit If You Have

• Experience with cloud‑native data platforms (AWS, Azure, GCP)
• Familiarity with data governance and security best practices
• Exposure to big‑data ecosystems and distributed processing
• Ability to work closely with data scientists, analysts and architects