Data Engineer

Who are we?

Commercial Bank , Founded in 1975 and headquartered in Doha , plays a vital role in Qatar’s economic development through offering a range of personal, business, government, international and investment services. At Commercial Bank of Qatar, we believe in empowering our employees, providing them with opportunities for growth and professional development.

By Joining us , you’ll be part of workplace culture that fosters innovation, supports work-life balance, and encourages you to reach your full potential.

Join us in shaping the future of banking!

Job Summary

Data Engineer is one of the key roles in a major initiative of Enterprise Data Fabric development which is a part of CBQ’s Data Strategy and overall Digital Transformation. As a part of Data Governance and Engineering department Data Engineer will be implementing various data management systems such as Data Lake, RDM, Data Streaming, Metadata management which will be a part of the Enterprise Data Fabric. Data Engineer will also work closely with number of IT, PMO, Data and operations teams to understand their needs and ensure that the Enterprise Data Fabric contributes to overall data quality, availability, democratization and culture.

Key Accountabilities

Participate in Data Management systems implementation projects: Data Lakehouse, Data Streaming, Metadata management, Reference Data Management
Develop data pipelines to bring new data to Enterprise Data Fabric
Ensure data pipelines are efficient, scalable, and maintainable
Comply with data engineering and development best practices (CI/CD, Code Management, Testing, Knowledge Management, Documentation etc.)
Ensure that all Data Policies are met within Enterprise Data Fabric.
Ensure that implemented systems correspond with target Data Architecture
Support Data teams (DQ, Data Governance, BI, Data Science) in achieving their goals
Maintain agile delivery process based on one of frameworks: Kanban, Scrum
Ensure that SLAs with data consumers and data sources are maintained
Implement all necessary monitoring, alerting
Facilitating collaboration between IT and wider Data team and supporting data science, BI and Data Excellence teams to ensure seamless integration and effective communication.

KEY COMPETENCIES

Python (Advanced level)
Airflow or Apache NiFi
K8s (OpenShift), Docker
RDBMS: MS SQL Server, PostgreSQL, Oracle
ETL (at least one of): SSIS, Informatica PowerCenter, IBM Datastage, Pentaho
SQL – Advanced user (Stored Procedures, Window functions, Temp Tables, Recursive Queries)
Git (GitHub/GitLab)
Kafka is a plus
Object Storage (S3, GCS, ABS) is a plus
Spark is a plus
Experience with dbt is a plus
Familiar with Data Warehousing (Star/Snowflake schemas) And Data Lake
Agile methodologies (Kanban, Scrum)
Strong problem-solving skills

Qualifications, Experience

Required Qualifications:

Bachelor's degree in Computer Science, Information Management, or related field

Required Experience

Minimum 2 years of experience in a data engineering role
Experience working in Agile frameworks (Scrum, Kanban, etc.) is a plus
Experience in Finance/Banking is a plus.

Key Skills

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