Logo for CME

Senior Data Integration Engineer

Roles & Responsibilities

  • 6–10+ years of experience in data integration engineering
  • Strong hands-on experience with major integration platforms (Informatica PowerCenter / IICS / IDMC, Talend, Azure Data Factory, AWS Glue)
  • Proven experience with complex transformations, workflow orchestration, parameterization, and reusable design
  • Solid SQL skills (Oracle, SQL Server, PostgreSQL, or similar)

Requirements:

  • Design and develop complex ETL/ELT and integration workflows using Informatica, Talend, Azure Data Factory, AWS Glue, or similar tools; API-led, event-driven, and file-based integration patterns
  • Optimize integration jobs for large data volumes and tight batch/near-real-time windows; identify and resolve performance bottlenecks
  • Implement data validation, reconciliation, and exception-handling logic to ensure data quality and consistency between source and target systems
  • Provide L3 production support for critical incidents and batch failures; perform root cause analysis and implement permanent fixes

Job description

This is a remote position.

We are seeking a Senior Data Integration Engineer to design, develop, and operate enterprise-grade data integration solutions across source systems, data platforms, and downstream consumers. The role requires strong expertise in modern integration tooling and ETL/ELT design, with the ability to deliver high-quality, auditable, and performant pipelines supporting operational and analytical use cases.

Solution Design & Development

           Design and develop complex ETL/ELT and integration workflows using:

           Informatica (PowerCenter / IICS / IDMC), Talend, Azure Data Factory, AWS Glue, or similar enterprise tools

           API-led, event-driven, and file-based integration patterns

           Translate functional and non-functional requirements into scalable integration designs

           Build reusable mappings, transformations, frameworks, and integration templates

Performance & Optimization

           Optimize integration jobs for large data volumes and tight batch / near-real-time windows

           Identify and resolve performance bottlenecks across source, integration, and target layers

           Design for resilience, retry, and idempotency

Data Quality & Integrity

           Implement data validation, reconciliation, and exception-handling logic

           Ensure consistency between source and target systems

           Support data quality rule implementation and remediation

Production Support & Governance

           Provide L3 support for critical incidents and batch failures; perform root cause analysis and permanent fixes

           Maintain source-to-target mappings, technical design documents, and data lineage documentation

           Ensure compliance with internal data governance and security standards



Requirements

Technical

           6–10+ years of experience in data integration engineering

           Strong hands-on experience with at least one major integration platform:

           Informatica (PowerCenter / IICS / IDMC)

           Talend, Azure Data Factory, AWS Glue, or equivalent

           Proven experience with complex transformations, workflow orchestration, parameterization, and reusable design

           Solid SQL skills (Oracle, SQL Server, PostgreSQL, or similar)

           Experience with scheduling tools (Control-M, Autosys, Airflow, or similar)

           Familiarity with API integration, messaging, and event streaming (Kafka, REST, SOAP)

Industry / Domain (Highly Preferred)

           Experience in mining, metals, heavy industry, oil & gas, utilities, or other large industrial environments is a strong plus

           Exposure to ERP (SAP) integration, MES, and operational systems is highly valued

           Prior experience in the GCC or Saudi Arabia is an advantage

Governance & Compliance Awareness

           Strong understanding of data lineage, audit requirements, and reconciliation frameworks

           Awareness of data privacy, PII handling, and data classification standards

Soft Skills

           Strong analytical and problem-solving skills

           Ability to work in high-pressure production environments

           Clear communication with technical and business stakeholders

Education & Certifications

Preferred:

           Degree in Computer Science, Data Engineering, or related field

           Informatica or cloud integration certifications are a strong advantage

Additional Requirements

           Onsite presence in Riyadh required

           Experience working in large enterprise or government environments

           Ability to operate in a multi-vendor delivery ecosystem



Data Engineer Related jobs

Other jobs at CME

We help you get seen. Not ignored.

We help you get seen faster — by the right people.

🚀

Auto-Apply

We apply for you — automatically and instantly.

Save time, skip forms, and stay on top of every opportunity. Because you can't get seen if you're not in the race.

AI Match Feedback

Know your real match before you apply.

Get a detailed AI assessment of your profile against each job posting. Because getting seen starts with passing the filters.

Upgrade to Premium. Apply smarter and get noticed.

Upgrade to Premium

Join thousands of professionals who got noticed and hired faster.