Senior Data Engineer at BBGC
Dubai, Dubai, United Arab Emirates -
Full Time


Start Date

Immediate

Expiry Date

17 Dec, 25

Salary

0.0

Posted On

18 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Engineering, Azure Data Factory, Azure Databricks, Python, SQL, Relational Databases, Real-Time Data Processing, Spark Streaming, Kafka, Production-Grade Data Pipelines, Trading Business Domain, Market Data, Trade Lifecycle, Financial Instruments, Version Control Systems, CI/CD Pipelines

Industry

IT Services and IT Consulting

Description
We are a global technology consultancy firm with offices in Middle East, Asia, Europe and USA. We deliver business benefits through innovation. We leverage cutting-edge technology led solutions delivered by a team of skilled professionals, from sustainable software development to cloud services and operational excellence strategy. We have extensive expertise in Capital Markets and in particular Trading and Risk Management functions. Senior Data Engineer will play a critical role in designing, building, and maintaining scalable data pipelines and analytics solutions using Azure and Data bricks ecosystem . Collaborate closely with business stakeholders - to ensure data is accessible, reliable, and optimized for performance. 6+ years of experience in data engineering or related roles. Proven expertise in Azure Data Factory and Azure Databricks. Strong proficiency in Python for data engineering tasks. Solid understanding of SQL and relational databases. Exposure to real-time data processing frameworks (e.g., Spark Streaming, Kafka). Experience in maintaining and supporting production-grade data pipelines. Familiarity with trading business domain, including market data, trade lifecycle, and financial instruments. Experience with version control systems (e.g., Git) and CI/CD pipelines. Excellent problem-solving skills and attention to detail.
Responsibilities
The Senior Data Engineer will design, build, and maintain scalable data pipelines and analytics solutions using Azure and Databricks. They will collaborate closely with business stakeholders to ensure data is accessible, reliable, and optimized for performance.
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