Data engineer Jobs in Jeddah

Job Summary:
We are looking for a Mid Level Junior Data Engineer with solid fundamentals and hands-on experience in building and supporting data pipelines. This role suits someone who has moved beyond entry-level and can be relied on for execution while still growing under the guidance of senior engineers.

Key Responsibilities:

• Build and maintain ETL/ELT data pipelines under defined architectures.
• Ingest data from databases, APIs, and flat files.
• Develop and maintain data warehouse tables and basic dimensional models.
• Write and optimize SQL queries for analytics and reporting.
• Implement data validation and quality checks.
• Monitor pipelines, troubleshoot issues, and resolve common failures.
• Support batch and scheduled data processing jobs.
• Document data pipelines, schemas, and data flows.
• Collaborate with Data Analysts, Integration, and Business teams.

Required Skills & Experience:

• 2–4 years of hands-on experience in Data Engineering or related roles.
• Strong SQL skills (joins, aggregations, subqueries).
• Good working knowledge of Python.
• Practical experience with ETL/ELT tools (Airflow, NiFi, or similar).
• Understanding of data warehousing and dimensional modeling basics.
• Experience supporting production data pipelines.

Education:
Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field.

Join RiDiK as a Data Engineer!
We are seeking a seasoned Data Professional to drive the design and implementation of a modern Data Lakehouse for a major financial services program.

Role Objective:
The ideal candidate will be an expert in the Teradata FSLDM framework and have deep expertise in Informatica for complex ETL/ELT orchestration. You will transform raw financial data into a structured, high-performance Lakehouse architecture that supports both BI and advanced analytics.

Key Responsibilities:

• Data Modeling: Lead the implementation and customization of the Teradata FSLDM.
• Architecture Design: Design and maintain Data Lakehouse layers to support massive scales of financial data.
• ETL/ELT Development: Architect and develop robust data pipelines using Informatica.
• Performance Tuning: Optimize SQL and mappings for high-volume data processing.
• Data Governance: Implement data lineage, quality checks, and metadata management.
• Stakeholder Collaboration: Work closely with Business Analysts and Data Scientists.

Technical Requirements:

• Expert-level knowledge of FSLDM is mandatory.
• Extensive experience with Teradata.
• Advanced proficiency in Informatica.
• Proven experience in building Data Lakehouse architectures.
• Strong understanding of Banking/Financial Services domains.
• Expert in writing and optimizing complex analytical SQL queries.