sales engineer

business analyst

senior data scientist

senior sales engineer

data engineer

big 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>We are seeking a Big Data Administrator to manage and support enterprise big data platforms. The role ensures platform availability, performance, security, and stability across production and non-production environments, working closely with data engineering, IAM, network, security, and infrastructure teams.
 Key Responsibilities<ul><li>
Deploy, configure, and administer Cloudera CDP/Hadoop clusters using Cloudera Manager.</li><li>
Operate and support Hadoop ecosystem services: HDFS, YARN, Spark, Hive/Impala, HBase, Zookeeper.</li><li>
Monitor platform health and performance; perform capacity planning and performance tuning.</li><li>
Implement and manage security: Kerberos, Ranger policies, LDAP/AD integration, and TLS/SSL hardening.</li><li>
Troubleshoot production incidents (authentication issues, service failures, disk/log issues, stuck Spark/YARN jobs) and perform root cause analysis.</li><li>
Manage upgrades, patching, and configuration changes with minimal downtime.</li><li>
Build automation using Bash/Python for routine tasks and operational efficiency.</li><li>
Administer Kubernetes platforms (Red Hat OpenShift): basic cluster operations, namespace/project management, pod/service troubleshooting, log analysis, and support for platform applications.</li><li>
Maintain operational documentation, runbooks, and support procedures; participate in on-call support as required.</li></ul> 

Requirements 
3+ years of hands-on experience as a Cloudera/Hadoop Administrator in production.<ul><li>
Strong Linux administration and command-line skills.</li><li>
Proven experience with Cloudera Manager and cluster operations.</li><li>
Working knowledge of Kubernetes/OpenShift administration (oc/kubectl, pods, deployments, services, logs, troubleshooting).</li><li>
Solid understanding of Kerberos, Ranger, LDAP/AD, and TLS/SSL.</li><li>
Experience with monitoring tools such as Grafana/Prometheus (or similar).</li></ul>
Strong troubleshooting, communication, and collaboration skills</div>

Big Data Admin Support

<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

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

Prime Gate

<div>Role Overview
The System Support Engineer is responsible for configuring the Corporater software, supporting customers with their configurations, and working closely with internal teams to ensure successful delivery and market support activities 
Key Responsibilities<ul><li>
Configuring the Corporater software.</li><li>
Learning the Corporater software &ndash; current and new versions.</li><li>
Learning and developing the Corporater delivery practices.</li><li>
Supporting customers with their configurations.</li><li>
Working with project managers / lead consultants to estimate, formulate plans, and track progress against plans.</li><li>
Supporting sales staff and partner management staff in go-to-market activities.</li><li>
Working with product staff to develop new product context demos and stock configurations.</li></ul>
Skills :<ul><li>
Experience in configuration of a COTS product such as Oracle or SAP is ideal.</li><li>
Logical thinker &ndash; able to work with algebraic formulas.</li><li>
Understands data types, structures, and formats.</li><li>
Understanding of SQL Server &ndash; queries, DTS (big advantage / nice to have).</li><li>
Understanding of Oracle SQL &ndash; principally SQL and PL/SQL (nice to have).</li><li>
Has an eye for user interface design.</li><li>
Experience working in a software product company, in a regional office.</li><li>
Thrives in an empowered role.</li><li>
Accurate in personal administration.</li><li>
Business Analysis &amp; Systems Analysis experience is an advantage.</li></ul>
Qualifications &amp; Experience
<ul><li>Degree education &ndash; Business &amp; Technology is ideal.</li><li>
EPM on SAP, Oracle, or Archer is a big advantage.</li><li>
SQL Server and Oracle DB knowledge are desirable but not mandatory.</li><li>
Business process certifications in Balanced Scorecard, Project Management, IT Governance (ITIL, COBIT) are highly desirable but not mandatory.</li><li>
Minimum 3 Years of experience .</li></ul></div>

System Support Engineer

Devoteam

<div>
 
 Tech for People Unlocks the Future
 
 
 
 At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.
 
 
 With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.
 
 
 
 Devoteam Culture &amp; Values:
 
 
 
 True innovation is born from a powerful culture, fused with meaningful values.
 
 
 
 Culture:
 
 
 
 
 Fair and courageous
 
 
 
 Everyone is treated fairly &ndash; this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it.
 
 
 
 Ambition and results
 
 
 
 Ambition is nurtured at every step &ndash; this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint.
 
 
 
 Learning and innovating
 
 
 
 Curiosity and learning are at our core &ndash; this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence.
 
 
 
 Caring and sharing
 
 
 
 A caring attitude is infused into our culture &ndash; this encourages sharing. We believe in the power of teams, we promote support and collaboration.
 
 
 At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,
 
 
 
 Values:
 
 
 
 <ul>
 <li>
 Respect
 </li>
 <li>
 Frankness
 </li>
 <li>
 Passion
 
 
 
 </li>
 </ul>
 Knowing that success is the result of collaboration. Alone, we go faster, but together, we go further.
 
 
 To know more about us, please visit: www.devoteam.com
 
 
 
 Job Description
 
 
 
 As a Senior Data Scientist\Machine Learning Engineer at Devoteam, you will be responsible for developing, implementing, and optimizing advanced data-driven algorithms, including classification, regression, recommender systems, and user segmentation models. You will collaborate with cross-functional teams to identify opportunities for improvement and deliver impactful insights that drive business success
 
 
 Key responsibilities :
 
 
 <ul>
 <li>
 Identifying relevant data sources for business needs.
 </li>
 <li>
 Processing, cleansing, and Organising data into usable formats.
 </li>
 <li>
 Conduct in-depth research and analysis on large datasets to uncover hidden patterns, correlations, and trends
 </li>
 <li>
 Apply data mining techniques such as association rule discovery, classification, and clustering
 </li>
 <li>
 Conduct thorough EDA to understand underlying patterns, correlations, and anomalies in complex datasets
 </li>
 <li>
 Transform and preprocess raw data to create meaningful features that can improve model performance.
 </li>
 <li>
 Develop, evaluate, and deploy predictive machine learning models to drive actionable insights.
 </li>
 <li>
 Communicate complex data findings in a clear and concise manner to non-technical stakeholders
 </li>
 <li>
 Stay up-to-date with the latest advancements in data science, machine learning, and industry best practices, continuously seeking opportunities to improve methodologies and processes.
 </li>
 <li>
 Advanced Technical Skills: Mastery of programming languages like Python or R, expertise in data manipulation, machine learning algorithms, and statistical analysis.
 </li>
 <li>
 Data Manipulation:** Proficiency in working with large datasets, data cleaning, preprocessing, and transforming data into usable formats.
 </li>
 <li>
 Machine Learning Expertise:** Experience in selecting and implementing appropriate machine learning algorithms, model evaluation, hyperparameter tuning, and dealing with bias and fairness issues.
 </li>
 <li>
 Build conversational AI applications.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Engineering, IT or equivalent
 </li>
 <li>
 + 7 year experience within the data science field.
 </li>
 <li>
 Has a strong knowledge and proven experience in following areas: SQL, statistics , machine learning and programming
 </li>
 <li>
 Strong expertise in various supervised and unsupervised machine learning algorithms such as Time Series Forecasting ,regression ,Clustering,Classification and deep learning methods
 </li>
 <li>
 Experience working with Agile methodologies
 </li>
 <li>
 Ability to communicate with both technical and non-technical audiences
 </li>
 <li>
 Excellent English and Arabic communication skills (written &amp; spoken)
 </li>
 <li>
 Analytical mindset and Problem-solving skills
 </li>
 <li>
 Alteryx or Dataiku experience is a must
 </li>
 <li>
 MLOps experience is a plus
 </li>
 <li>
 Practical Knowledge of big data systems is a plus
 
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 BU: Data Intelligence
 
 
 Senio Level
</div>

Senior Data Scientist

Infoblox

<div>At Infoblox, every breakthrough begins with a bold &ldquo;what if.&rdquo;
 
What if your ideas could ignite global innovation?
 
What if your curiosity could redefine the future?
We invite you to step into the next exciting chapter of your career journey. Bring your creativity, drive, your daring spirit, and feel what it&rsquo;s like to thrive on a team big enough to make an impact, yet small enough to make a difference. Our cloud-first networking and security solutions already protect 70% of the Fortune 500 , and we&rsquo;re looking for creative thinkers ready to push that influence even further. Join us and discover how far your bold &ldquo;what if&rdquo; can take the world, your community, and your career.
Here, how we empower our people is extraordinary: Glassdoor Best Places to Work 2025, Great Place to Work-Certified in five countries, and Cigna Healthy Workforce honors three years running &mdash; and what we build is world-class: recognized as CybersecAsia&rsquo;s Best in Critical Infrastructure 2024 &mdash; evidence that when first-class technology meets empowered talent, remarkable careers take shape. So, what if the next big idea, and the next great career story, comes from you? Become the force that turns every &ldquo;what if&rdquo; into &ldquo;what&rsquo;s next&rdquo;.
In a world where you can be anything, Be Infoblox .
ASSOCIATE SALES ENGINEER I
We have an opportunity for a highly motivated and technically curious Associate Sales Engineer I to join our dynamic Enterprise Sales Engineering team in Saudi, reporting to the Manager of Sales Engineering for the region. In this role, you will work closely with experienced sales engineers and account executives to support the sales process and help customers understand the value of Infoblox solutions. You will also learn all aspects of the sales process and participate in Infoblox global technical training programs.
Be a Contributor &mdash; What You&rsquo;ll Do
<ul><li>Assist in delivering technical presentations and product demonstrations to prospective customers
</li><li>Support the development of proof-of-concepts/values (POC/Vs) of Infoblox solutions
</li><li>Collaborate with pre-sales solutions architects to gather customer requirements and map them to Infoblox&rsquo;s offerings
</li><li>Leverage defined pre-sales tools in customer engagements and supporting pre-sales solutions architects
</li><li>Help respond to RFPs, RFIs, and other technical documentation requests
</li><li>Learn and maintain a solid understanding of our DDI, DNS security, and cloud networking solutions
</li><li>Participate in discovery calls and meetings to understand customer environments and challenges
</li><li>Contribute to the creation of technical documentation, solution diagrams, and sales collateral
</li><li>Enable partner technical sales teams on Infoblox solutions and positioning to customers
</li></ul>Be Prepared &mdash; What You Bring
<ul><li>Bachelor&rsquo;s degree in computer science, information technology, engineering, or a related field
</li><li>3+ years of experience in a customer-facing role for a technology organization
</li><li>Interest in networking, cybersecurity, or cloud technologies
</li><li>Excellent communication and interpersonal skills
</li><li>Ability to explain technical concepts to both technical and non-technical audiences
</li><li>Eagerness to learn and grow in a fast-paced, customer-focused environment
</li><li>Basic understanding of networking concepts such as DNS, DHCP, and IP addressing
</li><li>Fluency in English and Arabic
</li><li>Ideally some familiarity with Infoblox products or similar technologies or experience with networking labs, cloud platforms such as AWS, Azure, or Google Cloud, or scripting, such as Python or Bash
</li></ul>Be Successful &mdash; Your Path
First 90 Days: Immerse in our culture, connect with mentors, and map the systems and stakeholders that rely on your work
Six Months:
<ul><li>Have a foundational knowledge of our product/solution portfolio
</li><li>Demonstrate fluency with either on-prem or SaaS-based Infoblox solutions
</li><li>Identify 1-2 specialisation areas
</li><li>Capable of handling primary SE customer-facing tasks with help from others
</li></ul>One Year:
<ul><li>Demonstrate fluency with all Infoblox solutions
</li><li>Capable of handling advanced SE customer-facing tasks with only occasional help from others
</li><li>Go-to person for specialisation area for the assigned region
</li></ul>Belong &mdash; Your Community
Our culture thrives on inclusion, rewarding the bold ideas, curiosity, and creativity that move us forward. In a community where every voice counts, continuous learning is the norm. So, whether you code, create, sell, or care for customers, you&rsquo;ll grow and belong here.
Be Rewarded &mdash; Benefits That Help You Grow, Thrive, Belong
<ul><li>Comprehensive health coverage, generous PTO, and flexible work options
</li><li>Learning opportunities, career-mobility programs, and leadership workshops
</li><li>Sixteen paid volunteer hours each year, global employee resource groups, and a &ldquo;No Jerks&rdquo; policy that keeps collaboration healthy
</li><li>Modern offices with EV charging, healthy snacks (and the occasional cupcake), plus hackathons, game nights, and culture celebrations
</li><li>Charitable Giving Program supported by Company Match
</li></ul>Ready to Be the Difference?
Infoblox is an Affirmative Action and Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.
#LI-Remote
#LI-GM1</div>

Associate Sales Engineer I

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