Data Engineer📣 Job Ad

Join Deraah Trading Company as a Junior Data Engineer!
We are excited to announce a vacancy for a Junior Data Engineer to be part of our dynamic data team at our headquarters in Riyadh. This position offers an exceptional opportunity for career advancement in data engineering and management within a modern work environment.

Key Responsibilities:

• Develop and implement ETL/ELT data extraction, transformation, and loading processes utilizing Azure Data Factory, dbt, and Apache Airflow.
• Build data models across Bronze/Silver/Gold tiers in Microsoft Fabric and Azure Synapse.
• Write and optimize SQL queries and Python code for data manipulation and integration.
• Contribute to Data Management & Governance projects concerning data quality, metadata, and lineage.
• Support the development of Power BI reports and dashboards for decision-makers.

Requirements:

• Bachelor's degree in Computer Science, Information Systems, or a related field.
• Strong knowledge of SQL and Python.
• Familiarity with the fundamentals of the Azure Data Platform.
• Interest in and basic understanding of Data Management concepts.
• Passion for learning and growth in a cloud-based data environment.

Join us in building an integrated data ecosystem serving over 900 branches across the Kingdom!

Join Accenture as a Data Engineer Consultant!
At Accenture, we bring together unmatched industry experience, innovative technologies, and a vast delivery network to address complex business needs. As a Data Engineer Consultant, you will play a crucial role in designing, developing, and managing data solutions.

Role Overview:
You will take ownership of critical engineering components— from data pipelines to ETL flows— ensuring data quality and driving robust insights.

Key Responsibilities:

• Design, implement, and maintain end-to-end data pipelines and ETL/ELT workflows.
• Conduct regular assessments for data integrity and implement monitoring mechanisms.
• Develop innovative data solutions to enhance operational efficiency.
• Collaborate with product teams and stakeholders to translate requirements into effective solutions.
• Mentor team members on best practices.

Required Skills & Qualifications:

• 8–12 years of data engineering experience with strong ETL expertise.
• A degree in Computer Science, Engineering, or related field.
• Proficiency in SQL, Python, and modern data frameworks.
• Experience with cloud platforms (AWS, Azure, GCP).
• Proven decision-making in collaborative environments.

Why Join Us?
We offer career progression with continuous coaching, flexible work arrangements, and access to state-of-the-art technology. Join us to make a positive impact in the communities we serve.

Join Datamatics Technologies as a Data Engineer!
We are seeking a skilled Data Engineer with strong experience in the banking domain to design, build, and optimize high-quality data pipelines and curated datasets that support enterprise reporting and analytics. This is an exciting opportunity to collaborate closely with business and BI teams to enhance data-driven decision-making.

Key Responsibilities:

• Develop and optimize complex SQL queries using CTEs, window functions, and advanced joins.
• Design and build curated KPI datasets optimized for BI and analytics consumption.
• Partner with business and analytics teams to implement KPI logic and reporting requirements.
• Ensure data accuracy through reconciliation, validation, and quality checks across datasets.
• Integrate data from multiple banking source systems into unified analytical models.
• Monitor and tune query performance to ensure scalability and efficiency.
• Support ongoing enhancements and maintenance of data pipelines and reporting datasets.

Required Skills & Experience:

• 3–5 years of hands-on experience as a Data Engineer in the banking or financial services domain.
• Strong expertise in SQL (CTEs, window functions, aggregations, complex joins).
• Solid understanding of data quality, reconciliation, and performance optimization.
• Exposure to integrating data from multiple heterogeneous source systems.
• Strong analytical skills and ability to work with business stakeholders.

Nice to Have:

• Experience with data warehousing and dimensional modeling.
• Familiarity with ETL/ELT frameworks and scheduling tools.
• Knowledge of regulatory or financial reporting use cases.