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assistant manager - data architect Jobs in Riyadh

assistant manager - data architect

data engineer

Antal

One of client in IT Service is hiring for the position of Data EngineerJOB TITLE- Data EngineerLOCATION- RiyadhNotice Period: Immediate joiners or a maximum one-month notice period.&#65279;Key Responsibilities:<ul><li>Build and maintain scalable data pipelines and ETL workflows</li><li>Integrate multiple data sources, ensuring accuracy and timeliness</li><li>Support analytics and business intelligence teams with clean, optimized data</li><li>Work closely with architects and dev teams to enhance performance and data usability</li></ul>Minimum Qualifications:<ul><li>Bachelors degree in Data Engineering, Computer Science, or related field</li><li>5+ years of hands-on data engineering experience</li><li>Strong command of ETL frameworks (e.g., Airflow, Talend, Glue)</li><li>Experience with big data tools (e.g., Spark, Hadoop, Kafka)</li><li>Advanced skills in SQL, Python, or Scala</li></ul>Preferred:<ul><li>Prior experience in government or high-compliance environments</li><li>Familiarity with Arabic language or translation workflows</li><li>Cloud certifications (AWS, Azure, GCP)</li></ul>&#65279;&#65279;Job Type: Full-timePay: &#65020;10,000.00 - &#65020;12,000.00 per month

Data Engineer

Al Asfour DCHR

Job Title: Data EngineerWe are looking for skilled Data &amp; Automation Engineers to join our team and play a key role in building automation, database, and integration solutions across multiple sectors.About the RoleAs a Data &amp; Automation Engineer, you will work on developing data pipelines, automation workflows, and integration frameworks that bring efficiency, reliability, and scalability to complex operations. A core part of this role is strong database knowledge, ensuring data accuracy, reconciliation, and consistency across multiple systems. You will collaborate with cross-functional teams to deliver scalable solutions that integrate data, automation, and operational platforms.Key Responsibilities- Design, develop, and maintain data pipelines and ETL processes to extract, transform, and load data from multiple sources.- Build, optimize, and manage relational and non-relational databases to support automation and integration needs.- Ensure high standards of data quality, reconciliation, and consistency across systems of record and real-time feeds.- Implement automation workflows to improve operational efficiency and reduce manual effort.- Develop and integrate APIs and services to connect data sources, platforms, and portals.- Collaborate with domain experts and engineers to translate requirements into scalable technical solutions.- Support CI/CD practices, testing, and documentation for all developed solutions.What We&rsquo;re Looking For- Minimum 3+ years of experience in data engineering, database management, or system integration.- Strong background in database design, management, and optimization.- Proven experience with SQL and NoSQL databases, including schema design, indexing, and performance tuning.- Hands-on experience in automation, integration, and data pipeline development.- Proficiency in Python or similar programming languages.- Knowledge of ETL concepts, data modeling, and reconciliation frameworks.- Familiarity with event-driven architectures (e.g., Kafka or similar).- Understanding of automation concepts such as telemetry, reconciliation, and closed-loop operations.- Strong analytical and problem-solving skills with the ability to work across teams.- Willingness to travel based on business needs.Job Type: Full-timePay: &#65020;11.00 - &#65020;12.00 per monthExperience:<ul><li>python: 3 years (Required)</li><li>SQL: 3 years (Required)</li><li>NOSQL: 3 years (Required)</li><li>Integration : 3 years (Required)</li><li>Automation: 3 years (Required)</li></ul>Language:<ul><li>Arabic (Required)</li></ul>

MASTER-WORKS

<div>Key Responsibilities:<div><ul><li> 
Develop Data Quality Strategy: Establish and maintain enterprise-wide DQ frameworks, rules, and KPIs.</li><li>Define and Govern CDEs:</li><li>Identify, document, and classify Critical Data Elements (CDEs) in collaboration with business and technical stakeholders.</li><li>Ensure CDEs are aligned with business processes, regulatory requirements, and strategic goals.</li><li>Monitor and report on CDE-specific DQ KPIs to ensure they meet required standards.</li><li>Design &amp; Implement DQ Rules: Create validation rules and profiling checks for both general datasets and CDEs.</li><li>DQ Monitoring &amp; Reporting: Develop DQ dashboards and scorecards to track quality dimensions (accuracy, completeness, timeliness, consistency, uniqueness, validity).</li><li>Root Cause Analysis: Investigate data quality issues impacting CDEs and recommend technical or process-oriented remediation actions.</li><li>Metadata &amp; Lineage: Ensure CDEs are linked to metadata repositories and data lineage tools for full traceability.</li><li>Collaboration: Work with data owners, data stewards, and governance committees to prioritize DQ initiatives around CDEs.</li><li>Compliance Support: Ensure CDEs comply with regulatory frameworks (e.g., PDPL, GDPR, HIPAA, ISO standards).</li><li>Tool Expertise: Administer and leverage Data Quality and Governance platforms (Informatica Axon, Collibra, Talend DQ, etc.) to manage DQ rules and CDE repositories.</li></ul></div>
Requirements
Qualifications &amp; Experience<div><ul><li> 
Bachelor&rsquo;s degree in computer science, Data Management, or related fields.</li><li>3&ndash;7 years of experience in Data Quality, Data Governance, or Master Data Management.</li><li>Proven experience in:</li><li>Identifying, defining, and governing CDEs.</li><li>Establishing DQ metrics for CDEs.</li><li>Profiling, cleansing, and validating datasets with a focus on CDEs.</li><li>Knowledge of Data Governance frameworks (DAMA-DMBOK) and regulatory standards (PDPL, GDPR, etc.).</li><li>Familiarity with enterprise data platforms, metadata repositories, and lineage tools.</li></ul></div></div>

Data Quality Engineer

Salam

<div>
 
 
 Job Summary:
 
 
 
 
 
 
 We&rsquo;re looking for a proactive Data Center Engineer to drive the smooth and efficient operation of our data center facilities. You&rsquo;ll manage maintenance, optimize processes, and collaborate across teams to ensure uninterrupted services, while supporting colocation environments and contributing to the company&rsquo;s future-ready infrastructure.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Assist in supervising the preventive maintenance activities as per the plan for the Data Center facilities.
 </li>
 <li>
 Prepare reports and keep Data Center records updated.
 </li>
 <li>
 Perform the change management procedures for the Data Center.
 </li>
 <li>
 Assist in monitoring Data Center operations, analyze Data Center problems or failures periodically and proactively, and escalate to the line manager for any abnormality.
 </li>
 <li>
 Cover 24/7 shifts.
 </li>
 <li>
 Assist in developing and ensuring the implementation of processes, methods, and procedures of Data Centers to carry out the activities and duties.
 </li>
 <li>
 Ensure proper documentation and operations logging.
 </li>
 <li>
 Coordinate continuously and effectively with internal divisions / departments to ensure a smooth workflow for Data Center tasks and activities.
 </li>
 <li>
 Ensure the readiness of the infrastructure and facilities for future development and the company&rsquo;s operations plans.
 </li>
 <li>
 Perform any other related tasks as directed.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Qualification:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Electromechanical / Electrical / Computer Engineering or any related field.
 </li>
 <li>
 Professional certifications in relevant areas, such as CDCP (Preferred).
 </li>
 <li>
 Ability to work under pressure and on shifts/call-outs.
 </li>
 <li>
 Good Communication, analytical, and problem-solving skills.
 </li>
 </ul>
</div>

Data Center Engineer

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.</li>
<li>5 years of experience in planning and executing the governance of cloud adoption, IT transformation, and cloud migrations, with a focus on data-related projects and technical implementation. 
</li>
<li>Experience with SQL databases (e.g., PostgreSQL, MySQL, Oracle) and NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB, etc.).</li>
<li>Experience with data warehouse technologies (e.g., Snowflake, Databricks).</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Certification in GCP Professional Data Engineer or other relevant cloud certifications.</li>
<li>Experience with a range of GCP data services (e.g., BigQuery, Dataflow, Dataproc, Cloud Composer).</li>
<li>Experience reading software code in one or more languages such as Java, Python, NodeJS, Golang, Javascript.</li>
<li>Understanding of the fundamentals of Enterprise IT, cloud technologies, and data engineering principles.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms or product partnerships. 
 
You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources.

Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Work with customer technical leads, client executives, and partners to manage and deliver data-focused implementations and migrations to Google Cloud Platform (GCP), acting as a trusted advisor.</li>
<li>Translate complex customer data requirements into recommendations for appropriate solution architectures, consulting services, and implementation plans.</li>
<li>Lead the program management of multi-functional Google Cloud Delivery Center projects, with a focus on data-related deliverables. Build and maintain strong relationships with key client stakeholders.</li>
<li>Demonstrate expertise in data pipelines, data analytics, data visualization techniques, and data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments.</li>
<li>Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines. Mentor junior consultants and participate in community contributions to improve team culture and operations.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Data Cloud Consultant, Global Service Delivery

Takamol Holding

<div>
 
 Job Description
 
 
 
 Design, build, and manage scalable data pipelines to collect, transform, and store data from various internal and external sources.
 
 
 Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements.
 
 
 Ensure Data integrity, accuracy, and availability across all systems and platforms.
 
 
 Optimize data infrastructure for performance, reliability, and cost-efficiency.
 
 
 Develop and maintain processes using modern data tools and platforms.
 
 
 Implement data governance, security, and privacy best practices in compliance with regulatory requirements.
 
 
 Monitor, troubleshoot, and improve data workflows and performance issues.
 
 
 Document data architecture, data flows, and technical processes.
 
 
 Support the development of data models and analytical datasets for reporting and AI/ML use cases.
 
 
 
 Job Requirements
 
 
 
 Bachelor&rsquo;s degree in Computer Science, Information Systems, Data Engineering, or a related field.
 
 
 2&ndash;5 years of experience in data engineering, data warehousing, or similar roles.
 
 
 Strong problem-solving and communication skills.
 
 
 Analytical Thinking
 
 
 Leadership
 
 
 Teamwork and Time Management
</div>

Data Engineering Specialist

TAWANTECH

<div><ul><li>Integrate Big Data solutions with enterprise IT systems and cloud platforms.
</li><li>Conduct open-source integration projects for data lakes, warehouses, and pipelines.
</li><li>Design and develop end-to-end data warehouse solutions and custom Big Data applications.
</li><li>Implement robust data pipelines and ETL workflows for real-time and batch processing.</li>
</ul>Requirements<ul>
<li>Bachelor&rsquo;s degree in IT, Computer Science, Software Engineering, or related field.
</li><li>Minimum 7 years of experience in Big Data integration and implementation.
</li><li>Technical expertise in Big Data frameworks, ML, Data Modeling, ETL tools, Python, AI Integration, Gen AI, Agentic AI, OSINT, GEOINT.
</li><li>Strong experience with system integration, APIs, and distributed computing environments.</li></ul></div>

Big Data Integration Expert

Explore 1044+ Data engineer in Riyadh this September. Find roles across top companies and apply now to boost your career.

1044 data engineer jobs IN Riyadh

Data Engineer

Data Engineer

Data Quality Engineer

Data Center Engineer

Data Cloud Consultant, Global Service Delivery

Data Engineering Specialist

Big Data Integration Expert