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linguistic data analyst / ai linguistic specialist- diplomatic domain (stt ai) Jobs in Riyadh

machine learner engineer

data engineer

MASTER-WORKS

<div>Nationality: Any Arabic Nationality to achieve better communication and understand our Arabic data content better.
Data Engineer Roles and Responsibilities:
1. Data Collection and Integration: Data engineers collect data from various sources, including databases, APIs, external data providers, and streaming sources. They must design and implement efficient data pipelines to ensure a smooth flow of information into the data warehouse or storage system.
2. Data Storage and Management: Once the data is collected, data engineers are responsible for its storage and management. This involves choosing appropriate database systems, optimizing data schemas, and ensuring data quality and integrity. They also must consider scalability and performance to handle large volumes of data.
3. ETL (Extract, Transform, Load) Processes: ETL is a fundamental process in data engineering. Data engineers design ETL pipelines to transform raw data into a format suitable for analysis. This involves data cleansing, aggregation, and enrichment, ensuring the data is usable for data scientists and analysts.
4. Big Data Technologies: In today's data landscape, dealing with big data is the norm rather than the exception. Data engineers work with big data technologies such as Hadoop and Spark to efficiently process and analyze massive datasets.
5. NoSQL Databases: In addition to traditional relational databases, data engineers often work with NoSQL databases like MongoDB and Cassandra, which are well-suited for handling unstructured or semi-structured data.
6. Cloud Computing: Cloud platforms like AWS, Azure, and Google Cloud have become the backbone of modern data infrastructure. Data engineers leverage these platforms to build scalable and cost-effective data solutions.
7. Distributed Systems: Data engineering often involves distributed systems architecture to handle huge data volumes and ensure fault tolerance. Understanding how distributed systems work is essential for data engineers. 8. Streaming Data: Real-time data processing is crucial in many industries. Data engineers work with streaming technologies like Apache Kafka to handle and analyze data as it flows in 
 
 
Requirements 
Nationality: Any Arabic Nationality to achieve better communication and understand our Arabic data content better.
preferably 5+ years of experience.</div>

Data Engineer

<div>Master Works is hiring an experienced Data Engineer (5+ years) in Riyadh to design and optimize large-scale real-time and batch data pipelines within the Telecom domain.<ul><li>
Design, develop, and maintain real-time and batch data pipelines leveraging Kafka, Spark, and Hadoop components.</li><li>
Must have understanding of Teradata CLDM, should know how to create new Data Model or modify existing data model based on business requirement</li><li>
Collaborate with business analysts and data architects to translate business requirements into robust data models and ETL frameworks.</li><li>
Apply Relational and Dimensional modeling techniques to design databases and ensure data is organized effectively for both operational and analytical purposes.</li><li>
Write, debug, and optimize SQL and Stored Procedures to ensure efficient data processing.</li><li>
Work closely with BI, Data Science, and Campaign teams to ensure seamless data availability for analytics</li><li>
Work closely with Data Architects, Analysts, and Business Stakeholders to translate business requirements into database solutions.</li><li>
Ensure all database design and code is well-documented and follows best practices for performance and maintainability.</li><li>
Involves designing fact and dimension tables for reporting and analytics purposes, often in a star or snowflake schema.</li><li>
Develop and maintain technical documentation (data flow diagrams, source-to-target mappings, architecture documents).</li><li>
Ensure that the Data Dictionary is always up-to-date, capturing all changes to the database schema, including newly created or modified tables, columns, views,</li><li>
Perform data quality checks, validation, and ensure end-to-end data accuracy and lineage.</li><li>
Support and troubleshoot real-time streaming jobs and ensure high availability of data pipelines</li></ul> 
 
 
Requirements 
Have-Must<ul><li>
Strong expertise in real-time data integration using Kafka, Spark Streaming, or Dataflow.</li><li>
Hands-on experience with Hadoop ecosystem components (HDFS, Hive, Sqoop, Spark etc.).</li><li>
Strong Data Modeling concepts including FSLDM, CLDM, and Dimensional / Data Vault modeling.</li><li>
Deep understanding of Telecom domain (BSS/OSS, CDR, usage, revenue, and campaign data).</li><li>
Experience building and optimizing ETL pipelines and data ingestion frameworks for structured and unstructured data.</li><li>
Proficiency in SQL and distributed data processing using Hive, Spark SQL, or PySpark.</li><li>
Good understanding of data governance, data quality, and lineage frameworks.</li><li>
Strong analytical and problem-solving skills.</li><li>
Excellent communication and collaboration skills with cross-functional teams.</li><li>
Experience in working on data vartulization tools like (Tibco. Trino etc)</li></ul> 
Good-to-Have<ul><li>
Familiarity with Data Catalogs, Metadata Management, and NDMO data governance standards.</li><li>
Experience with Data Catalogue tools.</li><li>
Familiarity with CI/CD pipelines, Git.</li><li>
Knowledge of ETL orchestration tools like Airflow, NiFi</li></ul></div>

Data engineer

HALA

<div>
 
 
 Who Are We
 
 
 
 
 HALA is a leading fintech player in the MENAP region that aims to redefine financial services and build the future bank of SMEs. HALA aims at empowering SMEs to start, run, and grow their businesses by providing them with cutting-edge financial and technological tools.
 
 
 
 HALA currently holds multiple entities in UAE, Saudi Arabia and Egypt (including HALA Payments and HALA Logistics) and offers solutions that enable merchants to digitize their payments as well as manage their sales and operations.
 
 
 
 Founded in 2017, HALA is currently licensed by the Saudi Arabian Central Bank.
 
 
 
 
 Role Overview
 
 
 We are seeking a highly skilled&nbsp;Senior Data Engineer&nbsp;to design, build, and optimize large-scale, distributed data infrastructure that powers advanced analytics and real-time intelligence across the organization. The role requires deep technical expertise in&nbsp;Kafka-based CDC pipelines, cloud data warehousing, and database optimization.&nbsp;
 
 Key Responsibilities
 
 <ul>
 <li>
 
 Data Infrastructure Design &amp; Development
 
 <ul>
 <li>
 Architect and maintain robust&nbsp;real-time data pipelines&nbsp;using&nbsp;Apache Kafka,&nbsp;Debezium, and&nbsp;Confluent connectors&nbsp;(Oracle, MongoDB, BigQuery, etc.).
 </li>
 <li>
 Implement robust&nbsp;CDC pipelines&nbsp;that&nbsp; maintains efficient message delivery and data integrity and fault-tolerant.
 </li>
 <li>
 Develop and automate ETL/ELT workflows within platforms such as Dataiku or custom Python/SQL frameworks.
 </li>
 </ul>
 </li>
 </ul>
 <ul>
 <li>
 
 Database Engineering &amp; Optimization
 
 <ul>
 <li>
 Administer and tune large-scale&nbsp;Oracle&nbsp;databases including&nbsp;partitioning, indexing, and performance tuning&nbsp;for analytical workloads.
 </li>
 <li>
 Design&nbsp;data models&nbsp;that support both operational reporting and advanced analytics.
 </li>
 <li>
 Develop&nbsp;SQL reporting queries&nbsp;and reconciliation logic to ensure transactional consistency across multiple systems.
 </li>
 </ul>
 </li>
 </ul>
 <ul>
 <li>
 
 Cloud &amp; Integration Engineering
 
 <ul>
 <li>
 Build and manage integrations across hybrid environments.
 </li>
 <li>
 Lead and synchronize efforts between&nbsp;on-prem systems and cloud warehouses.
 </li>
 <li>
 Implement data validation, observability, and alerting frameworks for production pipelines.
 </li>
 </ul>
 </li>
 </ul>
 <ul>
 <li>
 
 Data Governance &amp; Automation
 
 <ul>
 <li>
 Create&nbsp;metadata, lineage, and quality monitoring tools&nbsp;for datasets across domains.
 </li>
 <li>
 Ensure compliance with internal data policies, access control, and security standards.
 </li>
 </ul>
 </li>
 </ul>
 <ul>
 <li>
 
 Collaboration
 
 <ul>
 <li>
 Partner with analytics and product teams to translate business requirements into technical data solutions.
 </li>
 <li>
 Support&nbsp;cross-functional data initiatives&nbsp;from financial reporting to sector benchmarking and cultural GDP measurement frameworks.
 </li>
 </ul>
 </li>
 </ul>
 
 
 
 &nbsp;
 
 
 What We Offer You
 
 
 
 We believe you will love working at HALA!
 
 <ul>
 <li>
 We have an inclusive and diverse culture that encourages innovation and flexibility in remote, in-office, and hybrid work setups.
 </li>
 <li>
 We offer highly competitive compensation packages, including the potential for shares.
 </li>
 <li>
 We prioritize personal development and offer regular training and an annual learning stipend to tackle new challenges and grow your career in a hyper-growth environment.
 </li>
 <li>
 Join a talented team of over 30 nationalities working in 7 countries and gain valuable experience in an exciting industry.
 </li>
 <li>
 We offer autonomy, mentoring, and challenging goals that create incredible opportunities for both you and the company.
 </li>
 <li>
 You will be given a lot of responsibility and trust.&nbsp;We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
 </li>
 </ul>
 &nbsp;
 
 If you think you have what it takes to join a remarkable team #apply_now&nbsp;
 
 
 &nbsp;
 
</div>

Senior Data Engineer

<div>Master-Works is looking for a talented Data Engineer - ETL to join our dynamic team. In this role, you will focus on designing, developing, and maintaining ETL processes that extract, transform, and load data from various sources into our data platforms. Your work will enable data accessibility for analytics and reporting, driving key business decisions.
Key Responsibilities:<ul>
<li>Design, develop, and implement robust ETL processes to ensure efficient data extraction, transformation, and loading.</li>
<li>Collaborate with data analysts and business stakeholders to gather data requirements and translate them into technical specifications.</li>
<li>Optimize ETL workflows for performance, scalability, and reliability.</li>
<li>Monitor ETL processes to proactively identify and resolve data quality issues.</li>
<li>Document ETL processes, data models, and architecture to ensure clear understanding and maintainability.</li>
<li>Stay updated on emerging data technologies and best practices to recommend improvements to existing systems.</li> 
</ul> 
 
Requirements 
<ul><li>
Experience with ETL tools such as Informatica, Talend, and SSIS
</li><li>Proficient in programming languages such as Python, Java, Scala, or other relevant languages
</li><li>Strong skills in SQL and programming
</li><li>Ability to optimize ETL performance
</li><li>Experience with data integration techniques and tools to design efficient and scalable data architectures
</li><li>6+ years of professional experience</li></ul></div>

Data Engineer - ETL

Muller's Solutions

<div>M&uuml;ller&rsquo;s Solutions is actively searching for a Google Cloud Data Engineer to enhance our data processing capabilities. In this vital role, you will be responsible for designing and implementing data pipelines leveraging Google Cloud technologies. You will work closely with data analysts, business stakeholders, and other engineering teams to ensure data is accurately processed, integrated, and made available for analysis and reporting. 
Key Responsibilities:<ul><li>
Design, develop, and optimize data pipelines using Google Cloud Dataflow, Pub/Sub, and other GCP data services.</li><li>
Implement data lakes and data warehouses using Google BigQuery, ensuring efficient data storage, retrieval, and processing.</li><li>
Collaborate with data scientists and analysts to understand data requirements and provide solutions that meet business needs.</li><li>
Monitor and evaluate data pipeline performance, implementing necessary optimizations and troubleshooting issues as they arise.</li><li>
Ensure data quality by developing and implementing validation routines and data profiling techniques.</li><li>
Document data architecture, ETL processes, and operational procedures to facilitate knowledge sharing within the team.</li><li>
Stay informed of emerging trends and best practices in data engineering and GCP technologies.</li><li>
Participate in team efforts to define and enhance data governance and management practices.</li></ul> 

Requirements 
Requirements:<ul>
<li>Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.</li>
<li>3+ years of experience in data engineering, with a focus on Google Cloud Platform.</li>
<li>Proficient in designing and implementing data pipelines using Google Cloud Dataflow, BigQuery, and related tools.</li>
<li>Strong SQL skills and experience in data modeling and data warehousing concepts.</li>
<li>Familiarity with programming languages such as Python or Java for data processing tasks.</li>
<li>Ability to work with various data sources, including structured and unstructured data.</li>
<li>Strong analytical and problem-solving skills with attention to detail.</li>
<li>Ability to effectively communicate technical concepts to both technical and non-technical stakeholders.</li>
</ul>Preferred Qualifications:<ul>
<li>Google Cloud certifications (e.g., Google Cloud Professional Data Engineer) are highly desirable.</li>
<li>Experience with real-time data processing using Apache Beam and Google Cloud Pub/Sub.</li>
<li>Understanding of CI/CD practices in data engineering workflows.</li>
<li>Knowledge of data visualization tools and techniques to present data insights effectively.</li> 
</ul> 
 
Benefits 
1- Attractive Package.
2- Family Benefits.
3- Visa.
4-Air Tickets.</div>

Google Cloud Data Engineer

Envision Employment Solutions

<div>Envision Employment Solutions is currently hiring Senior Data Management Engineers for one of our partners, a global leader in IT Services and IT Consulting.
Job Summary:
We are seeking a Senior Data Management Engineer with strong expertise in data architecture, integration, and transformation, particularly using Informatica tools.
The ideal candidate will design and implement end-to-end enterprise data solutions that ensure data accessibility, quality, governance, and scalability across business domains.
You will collaborate with cross-functional stakeholders to translate business requirements into secure, reliable, and high-performance data systems..
Responsibilities:<ul><li>
Design, build, and maintain robust ETL processes and data pipelines using Informatica (PowerCenter, IDQ, or Cloud Data Integration)</li><li>
Develop and optimize data integration workflows for structured and unstructured data sources</li><li>
Ensure data quality, integrity, governance, and security across enterprise platforms</li><li>
Participate in data modeling and architecture discussions</li><li>
Collaborate with data architects, business analysts, and application teams to align data solutions with business requirements</li><li>
Maintain documentation of data flows, transformations, and system architecture</li><li>
Troubleshoot performance bottlenecks and resolve complex data-related issues</li><li>
Support enterprise data governance and metadata management initiatives</li></ul> 

Requirements 
<ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Systems, or related field</li><li>
3 to 5 years of experience in data engineering or data management roles</li><li>
Strong hands-on experience with Informatica (PowerCenter, IDQ, or Cloud Data Integration)</li><li>
Strong SQL skills and experience with relational databases (Oracle, SQL Server, etc.)</li><li>
Solid understanding of data warehousing concepts and enterprise data architecture</li><li>
Experience in data governance and metadata management</li><li>
Familiarity with cloud data platforms (AWS, Azure, or GCP) is a plus</li><li>
Strong analytical and troubleshooting skills</li><li>
Very good communication skills in English</li></ul> 

Benefits 
Benefits &amp; Work Setup<ul><li>
Basic salary</li><li>
Social insurance</li><li>
Family Medical Insurance (BUPA)</li><li>
Location: Riyadh, Saudi Arabia</li><li>
Work Model: Hybrid &ndash; 2 days in the office and 3 days remote. If assigned to a project, you may be required to work from the client&rsquo;s premises on a daily basis, depending on the project requirements.</li><li>
Working Hours: 9 AM to 6 PM</li><li>
Days Off: Fridays and Saturday</li></ul></div>

Senior Data Management Engineer

Red Sea Global

<div>
 
 
 Be the change. Join the world&rsquo;s most visionary developer.
 
 
 
 
 
 
 Red Sea Global (RSG) is showing that there is a better way to positively shape the places we live, work and travel.
 
 
 
 
 
 We are purpose-driven and committed to people and planet. Our transformative programs are a driving force to achieving Vision 2030, as well as leading the world towards regenerative tourism.
 
 
 
 
 
 
 Join RSG and be part of the positive change for Saudi Arabia and the world.
 
 
 
 
 
 
 
 Job Purpose:
 
 
 <ul>
 <li>
 Supervise the delivery and operation of data engineering pipelines and platforms by coordinating implementation activities, enforcing data quality and compliance requirements, and ensuring reliable, secure, and timely data availability for analytics and AI use cases.
 </li>
 </ul>
 
 
 
 
 
 Job Responsibilities:
 
 
 <ul>
 <li>
 Supervise the development, execution, and maintenance of data pipelines to ensure consistent ingestion, transformation, and delivery of data in line with approved technical designs and operational requirements.
 </li>
 <li>
 Control compliance with data protection, privacy, and governance requirements by ensuring PDPL-aligned data handling, access controls, logging, and documentation across data engineering activities.
 </li>
 <li>
 Review data pipeline performance, stability, and data integrity, coordinating corrective actions for failures, delays, or quality issues with engineering and platform teams.
 </li>
 <li>
 Optimize data processing workflows, scheduling logic, and storage configurations to improve performance, availability, and cost efficiency within approved cloud environments.
 </li>
 <li>
 Coordinate with data science, analytics, and business teams to translate data requirements into executable pipelines and curated datasets aligned with agreed specifications and service expectations.
 </li>
 <li>
 Plan and oversee implementation of data quality checks, validation rules, and monitoring mechanisms to ensure engineered datasets meet usability and consistency standards.
 </li>
 <li>
 Participate in deployment and operational support of cloud-based data platforms, orchestration tools, and automation frameworks in accordance with approved architectures.
 </li>
 <li>
 Review infrastructure-as-code scripts and deployment pipelines to ensure controlled releases, environment consistency, and minimal disruption to data services.
 </li>
 <li>
 Assist in incident response activities by supporting root-cause analysis, remediation planning, and documentation for data pipeline and platform issues.
 </li>
 </ul>
 
 
 
 
 
 Job Requirements:
 
 
 <ul>
 <li>
 
 Academic Qualifications:
 
 Bachelor&rsquo;s degree in computer science, Data Engineering, or Information Systems, or a related field.
 </li>
 <li>
 
 Years of Experience:
 
 6 years of relevant experience.
 </li>
 <li>
 
 Other Requirements:
 
 AWS Certified Data Analytics, Microsoft Azure Data Engineer Associate, or Google Professional Data Engineer is preferred.
 </li>
 </ul>
 
 
 
 
 
 For more information about Red Sea Global, visit:
 
 
 
 🌐 Website: https://www.redseaglobal.com/en
 
 
 🔗 LinkedIn: https://www.linkedin.com/company/red-sea-global/
 
 
 ▶️YouTube: https://www.youtube.com/channel/UCMo1fSbA3iOhvvC8OP0IYNA
 
 
 🐦 Twitter: @TheRedSeaGlobal
 
</div>

Assistant Manager – Data Engineering

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