Job Title: Data Engineering & Warehousing Engineer
Experience: 3–11 Years
Location: Riyadh - Onsite
Employment Type: Full-Time
We are seeking a highly skilled Data Engineering & Warehousing Engineer with 3–11 years of experience to design, develop, and maintain scalable data platforms and enterprise data warehouse solutions. The ideal candidate will have hands-on expertise in building ETL/ELT pipelines, data integration, cloud-based data platforms, and big data processing technologies. You will play a key role in enabling reliable, high-performance analytics and business intelligence solutions.
Key Responsibilities- Design, develop, and optimize scalable ETL/ELT pipelines for structured and unstructured data.
- Build and maintain enterprise data warehouses, data lakes, and modern data platforms.
- Develop real-time and batch data processing solutions.
- Integrate data from multiple internal and external sources while ensuring data quality and governance.
- Collaborate with Data Scientists, BI Developers, and business stakeholders to support analytical requirements.
- Optimize data storage, query performance, and pipeline reliability.
- Implement data security, monitoring, and governance best practices.
- Troubleshoot and resolve data pipeline and platform issues.
- Participate in architecture discussions and contribute to data platform modernization initiatives.
- Hands-on experience with Google BigQuery and Dataflow and Dataproc and Pub/Sub.
- Experience with Azure Synapse and Azure Data Factory.
- Experience with Amazon Redshift and AWS Glue.
- Strong experience with Apache Spark and Apache Kafka.
- Experience building batch and real-time data processing pipelines.
- Hands-on experience with dbt or Oracle Data Integrator (ODI) for data transformation and orchestration.
- Experience implementing ETL/ELT best practices and reusable data models.
- Strong experience with Oracle or PostgreSQL.
- Expertise in SQL, relational database design, performance tuning, and query optimization.
- Experience with data modeling, data governance, metadata management, and data quality frameworks.
- Knowledge of dimensional modeling and modern data warehouse architectures.
- Bachelor's degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related field.
- 3–11 years of professional experience in Data Engineering, Data Warehousing, or Big Data technologies.
- Strong programming and scripting skills using SQL, Python, or similar languages.
- Excellent analytical and problem-solving abilities.
- Experience working in Agile/Scrum development environments.
- Experience with cloud-native data lake and lakehouse architectures.
- Knowledge of CI/CD pipelines and Infrastructure as Code (IaC).
- Familiarity with containerization technologies such as Docker and Kubernetes.
- Experience supporting machine learning and analytics workloads.
- Cloud certifications on AWS, Microsoft Azure, or Google Cloud Platform are a plus.
- Google Cloud Data Services: BigQuery and Dataflow and Dataproc and Pub/Sub
- Azure Data Services: Azure Synapse and Azure Data Factory
- AWS Data Services: Amazon Redshift and AWS Glue
- Data Processing: Apache Spark and Apache Kafka
- Data Transformation: dbt or Oracle Data Integrator (ODI)
- Databases: Oracle or PostgreSQL
- Programming: SQL and Python
- Cloud Platforms: Google Cloud Platform or Microsoft Azure or Amazon Web Services (Preferred)
Skills Required
- Bachelor's degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or related field
- 3-11 years professional experience in Data Engineering, Data Warehousing, or Big Data technologies
- Hands-on experience with Google BigQuery, Dataflow, Dataproc, and Pub/Sub
- Experience with Azure Synapse and Azure Data Factory
- Experience with Amazon Redshift and AWS Glue
- Strong experience with Apache Spark and Apache Kafka
- Hands-on experience with dbt or Oracle Data Integrator (ODI)
- Strong experience with Oracle or PostgreSQL
- Expertise in SQL and Python (programming and scripting)
- Experience designing, developing, and optimizing scalable ETL/ELT pipelines, data lakes, and enterprise data warehouses
- Experience with data modeling, data governance, metadata management, dimensional modeling, and data quality frameworks
- Experience working in Agile/Scrum development environments
- Excellent analytical and problem-solving abilities
- Experience with cloud-native data lake and lakehouse architectures
- Knowledge of CI/CD pipelines and Infrastructure as Code (IaC)
- Familiarity with Docker and Kubernetes
- Experience supporting machine learning and analytics workloads
- Cloud certifications on AWS, Microsoft Azure, or Google Cloud Platform
Datamatics Technologies Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Datamatics Technologies and has not been reviewed or approved by Datamatics Technologies.
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Flexible Benefits — Feedback suggests flexible timings and work-from-home options are available in some roles. This flexibility is highlighted as part of the employment experience across certain postings and materials.
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Wellbeing & Lifestyle Benefits — Feedback suggests flexibility around time off and remote work supports work-life balance. These elements can help offset leaner cash components for some individuals.
Datamatics Technologies Insights
What We Do
Datamatics Technologies (DMT) was established in Dubai. We specialize in providing onsite and offshore professional services, covering the full spectrum of Data Analytics and Data Science domains. Our experience of working with diverse industry sectors such as Telecoms, Finance, Government and Manufacturing, across multiple regions enables us to engage and deliver for our clients with confidence. We can offer our full portfolio of services through resource augmentation, managed services, both on T&M or fixed price financial arrangements. Through our end-to-end managed services offering we enable our clients to cut down costs, increase profitability and focus on value addition to their core business activities. Our project and delivery management team are certified in Agile, PMI and ITIL to ensure the planning and execution are carried out using industry best practices. We are working with our clients across Middle East and Africa Region.
