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senior 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>

<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

VaporVM

<div><div><div><b>Date Posted:</b></div>
11 June, 2026</div>
<div><div><b>Industry:</b></div>
IT Services and IT Consulting</div>
<div><div><b>Location:</b></div>
VaporVM</div></div>
<br><div><h2 class="jobSectionHeader"><b>Job Description:</b></h2>
<div><h1 class="jobSectionHeader"><b>Senior HPC / Infrastructure Engineer</b></h1>
<p><b>
Location:</b> Riyadh, Saudi Arabia</p>
<p><b>
Employment Type:</b> Full-Time</p>
<p><b>
Experience:</b> 10+ Years (Hands-On)</p>
<h2 class="jobSectionHeader"><b>
Position Overview</b></h2>
<p>
We are seeking a highly experienced <b>Senior HPC / Infrastructure Engineer</b> with proven expertise in designing, deploying, and operating enterprise-scale High-Performance Computing (HPC) and AI infrastructure environments. This role is ideal for a hands-on technical leader who has built and managed production-grade HPC platforms, GPU clusters, Kubernetes ecosystems, and AI infrastructure from the ground up.</p>
<p>
The successful candidate will play a critical role in architecting, optimizing, and maintaining mission-critical compute environments that support advanced AI/ML, data science, and high-performance workloads.</p>
<h2 class="jobSectionHeader"><b>
Required Certifications</b></h2>
<ul><li><b>RHCE &ndash; Red Hat Certified Engineer (Active)</b></li>
<li><b>CKA &ndash; Certified Kubernetes Administrator (Active)</b></li>
</ul><h2 class="jobSectionHeader"><b>Core Technical Expertise</b></h2>
<h3 class="jobSectionHeader"><b>HPC &amp; NVIDIA AI Ecosystem</b></h3>
<ul><li>NVIDIA Base Command Manager (BCM)</li>
<li>NVIDIA AI Enterprise</li>
<li>NVIDIA GPU Operator &amp; Network Operator</li>
<li>NVIDIA NIM Inference Services</li>
<li>NVIDIA AI Blueprints</li>
<li>CUDA, GPU Drivers, and Performance Optimization</li>
</ul><h3 class="jobSectionHeader"><b>Compute &amp; Container Platforms</b></h3>
<ul><li>Kubernetes (Architecture, Operations &amp; Scaling)</li>
<li>Slurm Workload Manager</li>
<li>Distributed Computing Environments</li>
</ul><h3 class="jobSectionHeader"><b>Operating Systems</b></h3>
<ul><li>Red Hat Enterprise Linux (RHEL)</li>
<li>Ubuntu LTS (Canonical)</li>
</ul><h3 class="jobSectionHeader"><b>Automation &amp; DevOps</b></h3>
<ul><li>CI/CD Pipeline Design &amp; Implementation</li>
<li>Infrastructure Automation</li>
<li>Platform Lifecycle Management</li>
<li>Configuration Management &amp; Orchestration</li>
</ul><h2 class="jobSectionHeader"><b>Key Responsibilities</b></h2>
<ul><li>Design, deploy, and operate large-scale HPC and AI infrastructure environments from bare metal through workload orchestration.</li>
<li>Architect and manage NVIDIA GPU platforms, including BCM, AI Enterprise, GPU Operator, and AI service enablement.</li>
<li>Configure, optimize, and maintain Slurm scheduling environments for high-throughput and GPU-intensive workloads.</li>
<li>Design and operate highly available Kubernetes clusters supporting AI/ML, analytics, and containerized workloads.</li>
<li>Enable and support NVIDIA NIM services and AI Blueprint deployments for enterprise AI initiatives.</li>
<li>Administer and optimize RHEL and Ubuntu environments, ensuring stability, security, and performance.</li>
<li>Develop and maintain infrastructure automation frameworks and CI/CD pipelines for platform and application deployment.</li>
<li>Optimize performance across compute, GPU, storage, networking, and cluster resources.</li>
<li>Implement monitoring, observability, alerting, capacity planning, and operational best practices.</li>
<li>Enforce security, patch management, access controls, and compliance standards across the infrastructure stack.</li>
<li>Lead troubleshooting, root cause analysis, and resolution of complex infrastructure and platform issues.</li>
</ul><h2 class="jobSectionHeader"><b>Candidate Profile</b></h2>
<ul><li>10+ years of hands-on experience in HPC, Linux infrastructure, and enterprise platform engineering.</li>
<li>Proven track record of building and operating production-scale HPC, GPU, or AI infrastructure environments.</li>
<li>Deep expertise in Kubernetes, Slurm, Linux administration, and NVIDIA AI technologies.</li>
<li>Strong understanding of distributed systems, workload scheduling, cluster management, and performance optimization.</li>
<li>Experience supporting AI/ML, data science, and high-performance computing workloads at scale.</li>
<li>Strong analytical, troubleshooting, and problem-solving skills.</li>
<li>Ability to work across infrastructure, platform, automation, and AI enablement domains.</li>
<li>Demonstrated ownership mindset with a history of delivering reliable, scalable, and high-performing solutions.</li></ul></div></div><p></p>

Senior Infrastructure / HPC

HanmiGlobal Saudi

<div><p>HanmiGlobal Saudi is currently hiring a dedicated <b>Civil Engineer</b> to support various infrastructure and construction projects. The Civil Engineer will assist in the design, planning, and supervision of civil engineering works to ensure successful project delivery in line with quality, safety, and regulatory standards.</p><b>
Key Responsibilities</b><ul><li>
Assist in preparing engineering designs, drawings, and specifications for civil projects.</li><li>
Conduct site visits and surveys to gather data and monitor construction activities.</li><li>
Support project managers and senior engineers in planning and coordinating project tasks.</li><li>
Ensure civil works comply with technical standards and safety regulations.</li><li>
Prepare technical reports, documentation, and update project progress records.</li><li>
Collaborate with multidisciplinary teams to ensure integrated project delivery.</li><li>
Identify and resolve technical issues during construction phases.</li></ul><br>
<b>
Requirements</b><br>
<ul><li>
Bachelor&rsquo;s degree in Civil Engineering or a related field.</li><li>
12 years of experience in civil engineering, particularly in construction or infrastructure projects.</li><li>
Familiarity with civil engineering software such as AutoCAD, Civil 3D, and MS Project.</li><li>
Strong knowledge of construction methods, materials, and local regulations.</li><li>
Good communication, teamwork, and problem-solving skills.</li><li>
Ability to work effectively in a fast-paced and multidisciplinary environment.</li><li>
Prior experience in Saudi Arabia or Middle East projects is preferred.</li></ul></div>

Civil Engineer

Abunayyan Holding

<div>
 <p>
  🚨 We&rsquo;re Hiring:
  <strong>
   Senior Contracts Engineer
  </strong>
 </p>
 <p>
  We are seeking an experienced and commercially driven
  <strong>
   Senior Contracts Engineer
  </strong>
  to join our Commercial &amp; Contracts team. If you have strong expertise in EPC/EPCC contract administration, claims management, and contract negotiations, we&rsquo;d like to hear from you.
 </p>
 <p>
  🔹 Position: Senior Contracts Engineer
 </p>
 <p>
  🕒 Experience: 7&ndash;10 Years
 </p>
 <p>
  💼 Role Overview
 </p>
 <p>
  The Senior Contracts Engineer will be responsible for managing contractual and commercial activities throughout the project lifecycle, ensuring compliance, mitigating risks, and supporting effective project execution across EPC and construction environments.
 </p>
 <p>
  🔑 Key Responsibilities
 </p>
 <ul>
  <li>
   Review, draft, and negotiate contracts, subcontracts, NDAs, MOUs, and commercial agreements
  </li>
  <li>
   Manage contract administration, compliance tracking, variations, and amendments
  </li>
  <li>
   Identify contractual risks and support claims, EOTs, and dispute resolution activities
  </li>
  <li>
   Coordinate with clients, consultants, subcontractors, procurement, legal, and project teams
  </li>
  <li>
   Prepare contract status reports, risk registers, and commercial summaries
  </li>
  <li>
   Support continuous improvement of contract management procedures and templates
  </li>
 </ul>
 <p>
  ✅ Qualifications &amp; Experience
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Engineering, Law, Quantity Surveying, or related field
  </li>
  <li>
   7&ndash;10 years of experience in contract administration within EPC/EPCC or construction sectors
  </li>
  <li>
   Strong knowledge of FIDIC contracts and commercial agreements
  </li>
  <li>
   Experience in claims management, contract negotiations, and dispute resolution
  </li>
  <li>
   Familiarity with Saudi regulations and international contract standards
  </li>
  <li>
   Bilingual proficiency in Arabic &amp; English is required
  </li>
  <li>
   Middle East project experience is essential; Saudi Arabia experience preferred
  </li>
 </ul>
 <p>
  🌟 Core Competencies
 </p>
 <p>
  ✔ Contract Administration
 </p>
 <p>
  ✔ Claims &amp; Risk Management
 </p>
 <p>
  ✔ Commercial Negotiation
 </p>
 <p>
  ✔ Analytical &amp; Problem-Solving Skills
 </p>
 <p>
  ✔ Stakeholder Coordination
 </p>
 <p>
  ✔ Deadline &amp; Multi-Project Management
 </p>
</div>


Senior Contracts Engineer

<div><div><div><b>Date Posted:</b></div>
11 June, 2026</div>
<div><div><b>Industry:</b></div>
IT Services and IT Consulting</div>
<div><div><b>Location:</b></div>
VaporVM</div></div>
<br><div><h2 class="jobSectionHeader"><b>Job Description:</b></h2><br>
<p></p><div><p><b>Location:</b> Riyadh, Saudi Arabia</p>
<p><b>
Employment Type:</b> Full-Time</p>
<p><b>
Experience:</b> 10+ Years (Hands-On)</p>
<p><b>
Language:</b> Arabic &amp; English (Mandatory)</p>
<h2 class="jobSectionHeader"><b>
Position Overview</b></h2>
<p>
We are seeking a highly experienced <b>Senior Storage &amp; Backup Engineer</b> with deep expertise in designing, implementing, and managing enterprise-scale storage, backup, and disaster recovery solutions across multi-vendor environments. The ideal candidate will possess a strong hands-on background in SAN, NAS, object storage, software-defined storage, and data protection technologies, supporting mission-critical workloads, including HPC and AI/ML environments.</p>
<h2 class="jobSectionHeader"><b>
Core Technical Expertise</b></h2>
<h3 class="jobSectionHeader"><b>Enterprise Storage Platforms</b></h3>
<ul><li>Dell EMC ECS (Object Storage)</li>
<li>Dell EMC PowerScale (Isilon)</li>
<li>Dell EMC Data Domain</li>
<li>Pure Storage FlashArray &amp; FlashBlade</li>
<li>DDN SFA, EXAScaler, and A3I</li>
</ul><h3 class="jobSectionHeader"><b>Software-Defined &amp; Distributed Storage</b></h3>
<ul><li>Lustre Parallel File System</li>
<li>Ceph (RBD, CephFS, RGW)</li>
<li>MinIO Object Storage</li>
</ul><h3 class="jobSectionHeader"><b>Backup, DR &amp; Virtualization</b></h3>
<ul><li>VMware vSphere</li>
<li>VMware Site Recovery Manager (SRM)</li>
<li>Veeam Backup &amp; Replication</li>
</ul><h2 class="jobSectionHeader"><b>Key Responsibilities</b></h2>
<ul><li>Design, deploy, and manage enterprise SAN, NAS, object storage, and software-defined storage platforms.</li>
<li>Administer Dell EMC PowerScale environments, including OneFS, SmartPools, SmartQuotas, SyncIQ, and multi-protocol access services.</li>
<li>Implement and support scalable object storage solutions using Dell EMC ECS and MinIO.</li>
<li>Configure and optimize Dell EMC Data Domain environments, including deduplication, replication, and DDBoost integration.</li>
<li>Manage and optimize Pure Storage FlashArray and FlashBlade platforms for high-performance workloads.</li>
<li>Design and support DDN storage solutions for HPC, AI, and data-intensive environments.</li>
<li>Deploy and maintain Lustre and Ceph clusters, ensuring high availability, scalability, and operational efficiency.</li>
<li>Integrate storage solutions with VMware vSphere and SRM, supporting replication, snapshots, and disaster recovery requirements.</li>
<li>Monitor storage performance, capacity utilization, throughput, latency, and system health.</li>
<li>Develop and implement backup, replication, business continuity, and disaster recovery strategies.</li>
<li>Automate operational tasks and optimize storage management processes through scripting and orchestration tools.</li>
<li>Lead troubleshooting, root cause analysis, and resolution of complex storage and data protection issues.</li>
</ul><h2 class="jobSectionHeader"><b>Candidate Profile</b></h2>
<ul><li>10+ years of hands-on experience in enterprise storage, backup, and disaster recovery environments.</li>
<li>Proven expertise across multiple storage vendors and technologies.</li>
<li>Strong knowledge of traditional, software-defined, and distributed storage architectures.</li>
<li>Experience supporting large-scale, high-performance workloads, including HPC, AI, and analytics platforms.</li>
<li>Deep understanding of data protection, replication, business continuity, and disaster recovery frameworks.</li>
<li>Strong troubleshooting, analytical, and performance optimization skills.</li>
<li>Excellent communication and stakeholder management capabilities in Arabic and English.</li></ul></div></div><p></p>

Senior Storage & Backup

Explore 358+ Senior data engineer in Riyadh this June. Find roles across top companies and apply now to boost your career.

358 senior data engineer jobs In Riyadh

Senior Data Engineer

Senior Data Engineer

Senior Big Data Engineer

Senior Infrastructure / HPC

Civil Engineer

Senior Contracts Engineer

Senior Storage & Backup