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[ksa] data & ai – senior consultant / associate manager Jobs in Riyadh

data modeler / big data engineer Jobs in Riyadh

data modeler / big data engineer

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data engineer

TAWANTECH

<div>Job Summary<p>
We are seeking a highly skilled and motivated Senior Data Engineer to design, develop, and optimize scalable data platforms and pipelines within the banking and financial services domain. The ideal candidate will have strong expertise in Python, SQL, big data technologies, and cloud-based data ecosystems. You will be responsible for building robust, secure, and scalable data solutions that support regulatory reporting, risk management, customer analytics, and business intelligence initiatives.</p>
Key Responsibilities<ul><li>
Design, develop, and maintain scalable ETL/ELT pipelines for processing large volumes of banking and financial data.</li><li>
Build and optimize data workflows using Apache Spark and Apache Airflow.</li><li>
Design and implement Data Warehouse and Data Lake architectures to support enterprise banking analytics and reporting requirements.</li><li>
Develop and maintain high-performance data models for transactional, customer, risk, and regulatory data.</li><li>
Collaborate with business stakeholders, data analysts, risk teams, and compliance teams to deliver data-driven solutions.</li><li>
Ensure data quality, governance, security, and regulatory compliance across data platforms.</li><li>
Implement monitoring, troubleshooting, and performance tuning for data pipelines and processing frameworks.</li><li>
Leverage cloud platforms or Cloudera ecosystem technologies to build and manage modern data infrastructure.</li><li>
Drive CI/CD implementation and DataOps best practices to improve deployment efficiency and operational reliability.</li><li>
Support regulatory reporting, audit requirements, and data lineage initiatives.</li><li>
Mentor junior engineers and contribute to technical architecture and best practices.</li></ul><br>
<b>
Requirements</b><br>
<br>
Required Qualifications<ul><li>
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.</li><li>
4+ years of hands-on experience in Data Engineering.</li><li>
Strong programming skills in Python and advanced SQL.</li><li>
Experience with Apache Spark for large-scale data processing.</li><li>
Experience with Apache Airflow for workflow orchestration and scheduling.</li><li>
Solid understanding of Data Warehouse and Data Lake architectures.</li><li>
Proven experience building and maintaining ETL/ELT pipelines.</li><li>
Experience working with cloud platforms (AWS, Azure, or GCP) or the Cloudera ecosystem.</li><li>
Strong knowledge of data modeling techniques and performance optimization strategies.</li><li>
Experience implementing CI/CD pipelines and DataOps methodologies.</li><li>
Banking or Financial Services domain experience with exposure to financial data, regulatory reporting, risk, compliance, or customer analytics.</li><li>
Excellent problem-solving, analytical, and communication skills.</li></ul>
Preferred Qualifications<ul><li>
Experience with banking data domains such as Core Banking, Payments, Lending, Treasury, Risk, AML, KYC, or Regulatory Reporting.</li><li>
Knowledge of financial data governance, security, and compliance standards.</li><li>
Experience with real-time and batch data processing in highly regulated environments.</li><li>
Familiarity with containerization technologies such as Docker and Kubernetes.</li><li>
Experience with data lineage, metadata management, and data quality frameworks.</li></ul></div>

Senior Data Engineer

<div><ul><li>Design, develop, and maintain scalable data pipelines for the efficient collection, storage, and processing of large datasets.</li><li>Develops and design best practices around data collection and maintain orchestration of data flows, for batch, near-real time data.</li><li>Participates in evaluation and deployment of big data tools, relevant to the development.</li><li>Ability to identify different platforms, techniques, and methodology used in big data platforms, and demonstrate for various system in the organization.</li><li>Optimize and tune data systems for performance and reliability.</li><li>Develop and implement data models and schemas to support business intelligence and analytics needs.</li><li>Monitor and troubleshoot data pipelines to ensure smooth and efficient operation.</li><li>Stay up-to-date with the latest advancements in data engineering and incorporate them into our data infrastructure.</li><li>Document data engineering architectures and follow best practices.</li></ul><div>
Qualifications:<br>
<ul><li>Bachelor's or Master's degree in Computer Science, Data Science, or a related field.</li><li>5+ years of experience as a Data Engineer or similar role.</li><li>Strong programming skills in Python.</li><li>Experience with UNIX system administration using command line.</li><li>Experience with data processing frameworks such as Airflow, Airbyte, DBT, Hadoop, Spark, Hive, and Kafka, Proficiency in SQL and experience with relational databases.</li><li>Knowledge of data modeling, ETL processes, and data warehousing solutions.</li><li>Knowledge of Structuring data in various schemas suitable for a data lake, warehouse, or marts.
</li><li>Experience in implementing scalable, reliable, and efficient data storage solutions with PostgreSQL, MinIO.</li><li>Experience in enhancing the performance of big data applications, including optimizing system operations.</li></ul></div></div><p></p>

Riyad Bank

<div>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Execute all activities related to data for all business areas and ensure data definitions are established as per the data asset model (e.g. data quality rules, business terms definitions, data classifications&hellip;)
  </li>
  <li>
   Assess the business division strategies to establish impacts on data and data strategies.
  </li>
  <li>
   Responsible for conformance with the agreed standards and policies for all data sources of the assigned business divisions.
  </li>
  <li>
   Follows all relevant departmental policies, processes, standard operating procedures and instructions so that work is carried out in a controlled and consistent manner.
  </li>
  <li>
   Follows the day-to-day tasks related to own job to ensure continuity of work.
  </li>
  <li>
   Develop and execute all necessary data queries in the assigned area of business.
  </li>
  <li>
   Deliver all day-to-day work for the assigned business area to fulfil data ownership duties.
  </li>
  <li>
   Act on behalf of the assigned business units in all interactions with IT in relation to data needs, e.g. data requirements, data change management, provision of data for new systems, etc.
  </li>
  <li>
   Represent the business unit&rsquo;s interests at the Enterprise Data Governance Committee (as and when needed).
  </li>
  <li>
   Assist in the management &amp; development of data stewardship standards.
  </li>
  <li>
   Provide education, guidance and support to ensure common understanding of goals &amp; standards.
  </li>
  <li>
   Contribute to the awareness of data &amp; information importance in driving business initiatives.
  </li>
  <li>
   Provide directions for effective and approved provisioning of data and information to consumers, e.g. business champion, BI Team, Advanced Analytics &amp; Data Mining Team.
  </li>
  <li>
   Liaise with other Data Stewards &amp; members of the EDMO.
  </li>
  <li>
   Contribute to the identification of opportunities for continuous improvement of Data Stewardship processes and practices.
  </li>
  <li>
   Review &lsquo;international best practice&rsquo;, &amp; assess suitability for the improvement of RB business processes, cost reduction and productivity improvement in the Data Stewardship area.
  </li>
  <li>
   Assess the suitability for use in the Bank of international Data Stewardship approaches (i.e. Centralized Stewardship, Federated Stewardship, Hybrid Stewardship and Self-Organising Teams).
  </li>
  <li>
   Assist in the preparation of timely and accurate reports of Riyad Bank to meet company and department requirements, policies and standards.
  </li>
  <li>
   Complies with all relevant safety, quality and environmental management policies, procedures and controls to ensure a healthy and safe work environment.
  </li>
  <li>
   Performs other related duties or assignments as directed.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science of Information Technology.
  </li>
  <li>
   Minimum Experience: 4-6 years relevant experience in the design and implementation of Enterprise Data Warehousing environments in Financial institutions.
  </li>
  <li>
   Experience of Data Stewardship &amp; Governance.
  </li>
  <li>
   Language: English: Intermediate.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Skills
  </strong>
 </p>
 <ul>
  <li>
   Knowledge of Data Stewardship practices and Techniques.
  </li>
  <li>
   Knowledge in the architecture required for data management.
  </li>
  <li>
   Knowledge of the operations, products and services of banks and financial institutions.
  </li>
  <li>
   Knowledge in Oracle EDW data model for Banking and financial institutions.
  </li>
  <li>
   Understanding of the bank&rsquo;s strategy, objectives, products and services.
  </li>
  <li>
   Understanding in the market trends and competitors&rsquo; awareness.
  </li>
  <li>
   Understanding of analytical applications development and usage to support business decision making.
  </li>
  <li>
   Understanding of Enterprise Business Intelligence and Reporting principles and key.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Skills
  </strong>
 </p>
 <ul>
  <li>
   Communication Excellence (The knowledge, skills and ability to listen to others and expresses oneself in a clear and effective manner that helps achieves the desired results.)
  </li>
  <li>
   Digital Orientation (The knowledge, skills and ability to use digital technologies, concepts and methodologies that solve problems, innovate, communicate and collaborate.)
  </li>
  <li>
   Service Excellence (The knowledge, skills and ability to understand, anticipate and responds proactively to the concerns and needs of internal and external customers, acting required to address them.)
  </li>
  <li>
   Risk Orientation (The knowledge, skills and ability to anticipate and manage the various types of risks that may adversely impact on the organization, our customers, our people and our shareholders.)
  </li>
  <li>
   Stakeholder Management (The knowledge, skills and ability to listen to, engages with and understands the needs of stakeholders, using this knowledge to build a coalition to get agreement on what to do and manage expectations.)
  </li>
  <li>
   Building High-Performance (The knowledge, skills and ability to manage and review the performance of individuals and teams against goals and expectations, taking corrective action when necessary by guiding, motivating and developing them.)
  </li>
 </ul>
 <p>
 </p>
</div>


Data Engineer

<div>
 We are seeking a Data Modeler / Big Data Engineer to design scalable data architectures and support the bank's enterprise data platform, analytics, and digital transformation initiatives.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and maintain enterprise data models for banking data domains
  </li>
  <li>
   Develop and manage Data Lake and Big Data environments
  </li>
  <li>
   Build scalable data solutions using Cloudera and Hadoop ecosystems
  </li>
  <li>
   Implement and manage Apache Iceberg tables and data architectures
  </li>
  <li>
   Support data governance, metadata management, and data quality initiatives
  </li>
  <li>
   Collaborate with data engineering, analytics, and business teams
  </li>
  <li>
   Optimize data performance and scalability
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years of experience in data modeling and big data engineering
  </li>
  <li>
   Strong knowledge of Cloudera Data Platform (CDP)
  </li>
  <li>
   Experience with Hadoop ecosystem technologies (Hive, HDFS, Spark, Impala)
  </li>
  <li>
   Hands-on experience with Data Lakes and Apache Iceberg
  </li>
  <li>
   Strong SQL and data modeling skills
  </li>
  <li>
   Experience with enterprise data architecture and governance frameworks
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Banking or Financial Services experience
  </li>
  <li>
   Experience supporting enterprise data warehouse modernization initiatives
  </li>
  <li>
   Knowledge of cloud-based data platforms and modern lakehouse architectures
  </li>
 </ul>
</div>


Data Modeler / Big Data Engineer

<div><p>We are seeking a Data Modeler / Big Data Engineer to design scalable data architectures and support the bank&rsquo;s enterprise data platform, analytics, and digital transformation initiatives.</p>
Key Responsibilities<ul><li>
Design and maintain enterprise data models for banking data domains.</li><li>
Develop and manage Data Lake and Big Data environments.</li><li>
Build scalable data solutions using Cloudera and Hadoop ecosystems.</li><li>
Implement and manage Apache Iceberg tables and data architectures.</li><li>
Support data governance, metadata management, and data quality initiatives.</li><li>
Collaborate with data engineering, analytics, and business teams.</li><li>
Optimize data performance and scalability.</li></ul><br>
<b>
Requirements</b><br>
<ul><li>
5+ years of experience in data modeling and big data engineering.</li><li>
Strong knowledge of Cloudera Data Platform (CDP).</li><li>
Experience with Hadoop ecosystem technologies (Hive, HDFS, Spark, Impala).</li><li>
Hands-on experience with Data Lakes and Apache Iceberg.</li><li>
Strong SQL and data modeling skills.</li><li>
Experience with enterprise data architecture and governance frameworks.</li></ul>
Preferred Qualifications<ul><li>
Banking or Financial Services experience.</li><li>
Experience supporting enterprise data warehouse modernization initiatives.</li><li>
Knowledge of cloud-based data platforms and modern lakehouse architectures.</li></ul></div>

<div><div><b>Responsibilities:</b><br>
<ul><li>Design, implement, and optimize data pipelines for batch and real-time data processing using Cloudera (Hadoop, Hive, Spark, Impala) and Informatica (PowerCenter, Cloud Data Integration)</li><li>Build data extraction, transformation, and loading (ETL) workflows using Informatica PowerCenter for large-scale data integration from source systems (e.g., relational databases, flat files, APIs) into Cloudera Data Lake or data warehouse environments.</li><li>Implement Spark jobs on Cloudera for distributed data processing and optimization of data workflows.</li><li>Leverage Informatica for orchestrating ETL workflows, including data extraction, cleansing, transformation, and loading into data repositories (HDFS, Hive, SQL databases, etc.).</li><li>Optimize the Informatica workflows to minimize runtime, ensure smooth data integration, and maintain high data quality.</li><li>Utilize Hadoop and Spark on Cloudera to process large datasets and implement data transformations using MapReduce, Spark SQL, and PySpark.</li><li>Leverage Impala for low-latency SQL queries on Hadoop, ensuring real-time access to processed data.</li><li>Implement partitioning, bucketing, and indexing strategies in Hive and HBase to improve query performance on large datasets.</li><li>Implement and enforce data quality rules within Informatica workflows, ensuring that all transformations meet the required standards for completeness, consistency, and accuracy.</li><li>Ensure compliance with data governance and security protocols (e.g., encryption, masking, access control) in accordance with industry best practices.</li><li>Automation and Scheduling: Automate ETL workflows using Informatica Server, integrating with Airflow, Nifi or other workflow orchestration tools for scheduling and monitoring jobs.</li><li>Utilize Cloudera Navigator for monitoring and auditing data processes within the Hadoop ecosystem.</li><li>Perform regular tuning of the ETL pipelines, data flows, and SQL queries to ensure optimal performance.
</li></ul></div><div><b>Qualifications:</b><br>
<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or related field.</li><li>6+ years of experience in the same field.</li><li>Proven experience with the Cloudera Distribution of Hadoop (CDH), including expertise in HDFS, Hive, Impala, Spark, and HBase.</li><li>Strong hands-on experience with Informatica PowerCenter (ETL), EDC, IDQ, B2B, and Axon.</li><li>Deep understanding of ETL best practices, data pipelines, and distributed computing technologies such as Spark, MapReduce, PySpark, and Hadoop ecosystem components.</li><li>Advanced SQL skills for data manipulation, aggregation, optimization, and reporting across relational and non-relational data stores (e.g., SQL Server, MySQL, PostgreSQL, Hive, Impala).</li><li>Experience in Python and SQL.</li><li>Strong background in data warehousing principles and data modeling, including dimensional modeling (star schema, snowflake schema) and OLAP/OLTP considerations.</li></ul></div></div><p></p>

Senior Big Data Engineer

<div><p><b>Responsibilities:</b></p><ul><li>Develop and maintain conceptual, logical, and physical data models using data modeling tools.</li><li>Collaborate with stakeholders, business analysts, and Data Engineer teams to gather business requirements and define data modeling standards.</li><li>Design and implement data models that support business intelligence, data warehousing, and analytics initiatives.</li><li>Ensure data models adhere to data governance policies, data quality standards, and industry best practices.</li><li>Develop and maintain data model documentation, including data dictionaries, entity-relationship diagrams, and data flow diagrams.</li><li>Participate in data architecture discussions and contribute to the development of the enterprise data architecture.</li></ul>
&bull; Collaborate with database administrators to ensure physical database design aligns with data models. &bull; Stay up-to-date with industry trends, emerging technologies, and data modeling best practices.
<p><b>Qualifications:</b></p><ul><li>Bachelor's degree in Computer Science, Information Systems, or related field.</li><li>5-8 years of experience in data modeling, data architecture, or related field. Proficiency in data modeling.</li><li>Strong understanding of data modeling concepts, including entity-relationship modeling, dimensional modeling, and data normalization.</li><li>Experience using Erwin Data Modeler is a plus.</li><li>Strong analytical, problem-solving, and communication skills.</li><li>Ability to work in a team environment and collaborate with stakeholders.</li></ul></div><p></p>

Senior Data Modeler

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