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data pipeline engineer

Accenture

<div>Accenture Technology: 
Through unmatched industry experience, leading technologies from our ecosystem partners and startups, and the largest delivery network in the world, we provide a powerful range of capabilities that can be tailored to our client&rsquo;s most complex business needs. With over 100 innovation hubs deployed around the world, we help clients continuously innovate at speed and at scale so they can outpace their peers. You will bring innovation, intelligence, and industry experience together with the newest technologies to help clients innovate at scale and transform their businesses. Visit us at www.accenture.com<h3 class="jobSectionHeader">
Role Overview:</h3>
As a Data Engineer Consultant, you'll design, develop, and manage data solutions that drive data generation, collection, and processing. You'll take ownership of critical engineering components&mdash;from data pipelines to ETL flows&mdash;maintaining data quality and enabling robust insights. You will lead as a subject matter expert, collaborating across multiple teams to influence strategic decisions and ensure seamless delivery.<h3 class="jobSectionHeader">
Key Responsibilities:</h3><ul><li>
Design, implement, and maintain end-to-end data pipelines and ETL/ELT workflows to move, transform, and load large datasets. Ensure efficiency, scalability, and reliability.</li><li>
Conduct regular assessments to ensure data integrity and consistency. Implement validation and monitoring mechanisms across pipelines.</li><li>
Develop innovative, high-performance data solutions that enhance operational efficiency and elevate the customer experience.</li><li>
Engage with product teams, data scientists, and business stakeholders to understand requirements and translate them into effective data solutions.</li><li>
Serve as an SME and guide technical decisions. Collaborate with peers and mentor team members on best practices.</li><li>
Monitor pipelines for performance, troubleshoot issues, and implement enhancements for scalability and efficiency.</li></ul></div>
 
<div>Required Skills &amp; Qualifications:<ul><li>
Experience: 6&ndash;8 years in data engineering, with strong ETL and data pipeline expertise.</li><li>
Advanced proficiency in data engineering, data processing, migrations, access, and pipeline development.</li><li>
Strong skills in SQL, Python, and modern data frameworks/tools (e.g., Airflow, Spark, Hadoop)</li><li>
Proficient in ETL tools and processes.</li><li>
Ability to design scalable and efficient data architectures.</li><li>
Familiarity with cloud platforms (AWS, Azure, GCP) and data storage technologies.</li><li>
Experience working with multiple teams to identify requirements and deliver comprehensive solutions.</li><li>
Proven decision-making capabilities in collaborative environments.</li></ul>
Why join us?<ul><li>
We offer a transparent, fast paced approach career progression, with a focus on your strengths and continuous coaching from senior colleagues</li><li>
You will benefit from working alongside Accenture experts who are solving some of the biggest industry challenges with innovative thinking and pioneering tools</li><li>
Flexible work arrangements and a range of benefits including competitive rewards</li><li>
You will have access to state-of-the-art technology that will give you the opportunity to deepen your existing skills even as you help create the latest business trends</li><li>
You will also have opportunities to make a difference to the communities in which we work and live</li></ul>
Next Steps: 
If this sounds like the ideal role, career and company for you, click to apply. 
To learn more about life @AccentureMiddleEast, follow us on social media and keep up with our latest news. 
Accenture Middle East: LinkedIn, Instagram, Facebook, Twitter, YouTube</div>

Data Engineer

<div>Accenture Technology: 
Through unmatched industry experience, leading technologies from our ecosystem partners and startups, and the largest delivery network in the world, we provide a powerful range of capabilities that can be tailored to our client&rsquo;s most complex business needs. With over 100 innovation hubs deployed around the world, we help clients continuously innovate at speed and at scale so they can outpace their peers. You will bring innovation, intelligence, and industry experience together with the newest technologies to help clients innovate at scale and transform their businesses. Visit us at www.accenture.com<h3 class="jobSectionHeader">
Role Overview:</h3>
As a Data Engineer Consultant, you'll design, develop, and manage data solutions that drive data generation, collection, and processing. You'll take ownership of critical engineering components&mdash;from data pipelines to ETL flows&mdash;maintaining data quality and enabling robust insights. You will lead as a subject matter expert, collaborating across multiple teams to influence strategic decisions and ensure seamless delivery.<h3 class="jobSectionHeader">
Key Responsibilities:</h3><ul><li>
Design, implement, and maintain end-to-end data pipelines and ETL/ELT workflows to move, transform, and load large datasets. Ensure efficiency, scalability, and reliability.</li><li>
Conduct regular assessments to ensure data integrity and consistency. Implement validation and monitoring mechanisms across pipelines.</li><li>
Develop innovative, high-performance data solutions that enhance operational efficiency and elevate the customer experience.</li><li>
Engage with product teams, data scientists, and business stakeholders to understand requirements and translate them into effective data solutions.</li><li>
Serve as an SME and guide technical decisions. Collaborate with peers and mentor team members on best practices.</li><li>
Monitor pipelines for performance, troubleshoot issues, and implement enhancements for scalability and efficiency.</li></ul></div>
 
<div>Required Skills &amp; Qualifications:<ul><li>
Experience: 8&ndash;12 years in data engineering, with strong ETL and data pipeline expertise.</li><li>
A degree in Computer Science, Engineering, Data Science, or a related analytical field .</li><li>
Advanced proficiency in data engineering, data processing, migrations, access, and pipeline development.</li><li>
Strong skills in SQL, Python, and modern data frameworks/tools (e.g., Airflow, Spark, Hadoop)</li><li>
Proficient in ETL tools and processes.</li><li>
Ability to design scalable and efficient data architectures.</li><li>
Familiarity with cloud platforms (AWS, Azure, GCP) and data storage technologies.</li><li>
Experience working with multiple teams to identify requirements and deliver comprehensive solutions.</li><li>
Proven decision-making capabilities in collaborative environments.</li></ul>
Why join us?<ul><li>
We offer a transparent, fast paced approach career progression, with a focus on your strengths and continuous coaching from senior colleagues</li><li>
You will benefit from working alongside Accenture experts who are solving some of the biggest industry challenges with innovative thinking and pioneering tools</li><li>
Flexible work arrangements and a range of benefits including competitive rewards</li><li>
You will have access to state-of-the-art technology that will give you the opportunity to deepen your existing skills even as you help create the latest business trends</li><li>
You will also have opportunities to make a difference to the communities in which we work and live</li></ul>
Next Steps: 
If this sounds like the ideal role, career and company for you, click to apply. 
To learn more about life @AccentureMiddleEast, follow us on social media and keep up with our latest news. 
Accenture Middle East: LinkedIn, Instagram, Facebook, Twitter, YouTube</div>

Senior Data Engineer

Muller's Solutions

<div>M&uuml;ller's Solutions is seeking a talented Data Engineer with expertise in Talend to join our growing team. As a Data Engineer, you will play a critical role in building and maintaining data pipelines that enable seamless data integration and processing across various systems. You will work closely with data analysts and data scientists to ensure that data is accessible, reliable, and structured for analysis.<h3 class="jobSectionHeader">
Responsibilities:</h3><ul>
<li>Design, develop, and maintain ETL processes using Talend to extract, transform, and load data from various sources.</li>
<li>Collaborate with stakeholders to understand data integration requirements and ensure data is delivered accurately and on time.</li>
<li>Implement data quality checks and validation procedures to maintain data integrity.</li>
<li>Optimize data pipelines for performance and scalability, ensuring efficient data processing.</li>
<li>Monitor data flow and resolve any issues related to data processing or quality.</li>
<li>Document data architecture, ETL processes, and data lineage to enhance knowledge sharing within the team.</li>
<li>Stay updated on best practices and advancements in data engineering, Talend, and related technologies.</li>
</ul>Requirements<ul>
<li>Bachelor's degree in Computer Science, Information Technology, or a related field.</li>
<li>Proven experience as a Data Engineer, with a strong focus on Talend.</li>
<li>Expertise in ETL design and implementation using Talend data integration tools.</li>
<li>Solid understanding of database management systems, SQL, and data warehousing concepts.</li>
<li>Experience with data modeling and database design best practices.</li>
<li>Strong analytical and problem-solving skills, with attention to detail.</li>
<li>Familiarity with cloud data solutions (e.g., AWS, Azure) is a plus.</li>
<li>Excellent communication skills for collaborating with cross-functional teams and stakeholders.</li>
<li>A self-starter with the ability to work independently as well as part of a team.</li>
<li>Knowledge of data governance and data security practices.</li>
</ul>Benefits
Why Join Us:
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment.</div>

Supertech Group

<div>Do you want to love what you do at work? Do you want to make a difference, an impact, and transform peoples lives? Do you want to work with a team that believes in disrupting the normal, boring, and average?
If yes, then this is the job you are looking for , webook.com is Saudi&rsquo;s #1 event ticketing and experience booking platform in terms of technology, features, agility, revenue serving some of the largest mega events in the Kingdom surpassing over 2 billion in sales. webook.com is part of the Supertech Group also consisting of UXBERT Labs, one of the best digital and user experience design agencies in the GCC, along with Kafu Games, the largest esports tournament platform in MENA.
Key Responsibilities:<ul>
<li>Data Integration and ETL Development</li>
<li>Architect and implement robust data integration pipelines to extract, transform, and load data from various sources (e.g., databases, SaaS applications, APIs, and flat files) into a centralized data platform.</li>
<li>Design and develop complex ETL (Extract, Transform, Load) processes to ensure data quality, consistency, and reliability.</li>
<li>Optimize data transformation workflows to improve performance and scalability.</li>
<li>Data Infrastructure and Platform Management:</li>
<li>Implement and maintain data ingestion, processing, and storage solutions to support the organization's data and analytics requirements.</li>
<li>Ensure the reliability, security, and availability of the data infrastructure through effective monitoring, troubleshooting, and disaster recovery planning.</li>
<li>Data Governance and Metadata Management:</li>
<li>Collaborate with the data governance team to establish data policies, standards, and procedures.</li>
<li>Develop and maintain a comprehensive metadata management system to ensure data lineage, provenance, and traceability.</li>
<li>Implement data quality control measures and data validation processes to ensure the integrity and reliability of the data.</li>
</ul>Requirements<ul>
<li>5-6 years of experience as a Data Engineer or a related role in a data-driven organization.</li>
<li>Proficient in designing and implementing data integration and ETL pipelines using tools such as Apache Airflow, airbyte, or any cloud-based data integration services.</li>
<li>Strong experience in setting up and managing data infrastructure, including data lakes, data warehouses, and real-time streaming platforms (e.g. Elastic , Google Bigquery, Mongodb).</li>
<li>Expertise in data modeling, data quality management, and metadata management.</li>
<li>Proficient in programming languages such as Python, or Java, and experience with SQL.</li>
<li>Familiarity with cloud computing platforms (e.g., AWS,Google Cloud) and DevOps practices.</li>
<li>Excellent problem-solving skills and the ability to work collaboratively with cross-functional teams.</li>
<li>Strong communication and presentation skills to effectively translate technical concepts to business stakeholders.</li>
</ul>Preferred Qualifications:<ul>
<li>Familiarity with data visualization and business intelligence tools (e.g., Tableau, qlik.etc).</li>
<li>Knowledge of machine learning and artificial intelligence concepts and their application in data-driven initiatives.</li>
<li>Project management experience and the ability to lead data integration and infrastructure initiatives.</li>
<li>If you are a seasoned Data Engineer with a passion for building scalable and robust data integration solutions, we encourage you to apply for this exciting opportunity</li></ul></div>

Quant

<div>
 This is a remote position.
 
 
 The Data Engineer is responsible for developing, maintaining, and optimizing data pipelines and infrastructure to support analytics, business intelligence, and data science initiatives. This includes integrating various data sources, ensuring data quality, and implementing ETL processes. The ideal candidate should have a solid foundation in programming, databases, and cloud-based solutions, with a strong willingness to learn and adapt in a fast-paced environment.
 
 
 Job Responsibilities
 
 
 <ul>
 <li>
 Design, build, and maintain efficient and reliable data pipelines using SQL, Python, and cloud-based technologies.
 </li>
 <li>
 Support the integration of multiple data sources into centralized storage and analytics systems.
 </li>
 <li>
 Perform data cleansing, transformation, and validation to ensure data accuracy and reliability.
 </li>
 <li>
 Collaborate with data scientists, analysts, and other engineers to ensure data availability for analytics and modeling.
 </li>
 <li>
 Monitor and optimize existing ETL processes to improve performance and scalability.
 </li>
 <li>
 Assist in implementing data models to support reporting, dashboards, and predictive analytics.
 </li>
 <li>
 Apply software engineering best practices in code development, version control, and testing.
 </li>
 <li>
 Research and learn new data tools and techniques to enhance existing processes.
 </li>
 <li>
 Maintain clear, concise, and up-to-date technical documentation for data workflows.
 </li>
 <li>
 Troubleshoot and resolve data-related issues promptly and effectively.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Proficient in Python for scripting, automation, and data processing.
 </li>
 <li>
 Solid understanding of SQL and relational database concepts.
 </li>
 <li>
 Familiarity with ETL tools (e.g., Airflow, Alteryx, or similar).
 </li>
 <li>
 Basic knowledge of cloud platforms (AWS, GCP, or Azure) for data storage and processing.
 </li>
 <li>
 Understanding of data modeling concepts and best practices.
 </li>
 <li>
 Knowledge of data visualization tools is a plus (e.g., Tableau, Power BI, or similar).
 </li>
 <li>
 Strong problem-solving skills and attention to detail.
 </li>
 <li>
 Ability to work collaboratively in a team-oriented, multicultural environment.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related technical field.
 </li>
 <li>
 Eagerness to learn, adapt, and grow within a data-focused role.
 </li>
 </ul>
</div>

<div>Do you want to love what you do at work? Do you want to make a difference, an impact, and transform peoples lives? Do you want to work with a team that believes in disrupting the normal, boring, and average?
If yes, then this is the job you are looking for , webook.com is Saudi&rsquo;s #1 event ticketing and experience booking platform in terms of technology, features, agility, revenue serving some of the largest mega events in the Kingdom surpassing over 2 billion in sales. webook.com is part of the Supertech Group also consisting of UXBERT Labs, one of the best digital and user experience design agencies in the GCC, along with Kafu Games, the largest esports tournament platform in MENA.
Job Description:
We are seeking a skilled Elastic Cloud Engineer to join our growing team. The ideal candidate will have extensive hands-on experience with Elastic Cloud, Elasticsearch, Kibana, and data pipelines. In addition, expertise in working with BigQuery, MongoDB, and SQL queries is highly desirable. Experience with GoLang development is a plus, providing further enhancement to our data and reporting capabilities. You will be responsible for managing Elasticsearch clusters, designing dashboards, building reports, and integrating data from multiple sources.
Key Responsibilities:<ul>
<li>Elastic Cloud Administration:</li>
<li><ul><li>Deploy, configure, and manage Elastic Cloud infrastructure.</li>
<li>Monitor, troubleshoot, and optimize Elasticsearch clusters for performance, security, and scalability.</li>
<li>Manage index lifecycle, configure efficient indexing strategies, and ensure high data availability.</li>
</ul></li><li>Kibana Dashboards &amp; Reporting:</li>
<li><ul><li>Design and maintain Kibana dashboards for real-time data visualization and insights.</li>
<li>Develop complex queries and visualizations using Elasticsearch and Kibana.</li>
<li>Automate and generate reports based on Elasticsearch data, ensuring they align with business requirements.</li>
</ul></li><li>Data Pipeline Management:</li>
<li><ul><li>Design, build, and manage scalable data pipelines for ingesting, processing, and transforming data from various sources into Elasticsearch.</li>
<li>Integrate data from sources such as BigQuery, MongoDB, and SQL-based databases into Elasticsearch for real-time analysis.</li>
<li>Ensure the smooth flow of data across systems and maintain data consistency and quality.</li>
</ul></li><li>BigQuery, MongoDB, and SQL Integration:</li>
<li><ul><li>Extract, transform, and load data from BigQuery, MongoDB, and relational databases (using SQL queries).</li>
<li>Write and optimize SQL queries for integrating structured data from relational databases into Elasticsearch.</li>
<li>Work with unstructured and semi-structured data stored in MongoDB, ensuring efficient queries and transformations.</li>
</ul></li><li>GoLang Development (Plus):</li>
<li><ul><li>Assist in developing backend applications using GoLang to improve data manipulation, real-time analytics, and report generation.</li>
<li>Build and integrate services that interface with Elasticsearch, BigQuery, and other data platforms.</li>
</ul></li><li>Data Security &amp; Compliance:</li>
<li><ul><li>Implement security best practices for Elasticsearch, including access control, encryption, and authentication (X-Pack, TLS).</li>
<li>Ensure compliance with industry regulations for data privacy and implement effective backup/recovery solutions.</li>
</ul></li><li>Collaboration &amp; Documentation:</li>
<li><ul><li>Collaborate with data engineering, BI, and DevOps teams to ensure smooth integration of Elasticsearch with other data platforms.</li>
<li>Document processes, configurations, and operational guidelines for managing the Elastic Cloud infrastructure and associated data pipelines.</li>
</ul></li></ul>Requirements<ul>
<li>3+ years of hands-on experience with Elastic Cloud, Elasticsearch administration, and Kibana.</li>
<li>Strong expertise in building Kibana dashboards, visualizations, and generating reports.</li>
<li>Experience with Elasticsearch indexing, cluster management, and performance optimization.</li>
<li>Proficiency in building and managing data pipelines, particularly with BigQuery, MongoDB, and SQL databases.</li>
<li>Strong SQL query writing skills and experience working with relational databases.</li>
<li>Hands-on experience with GoLang development (a plus).</li>
<li>Familiarity with DevOps practices, CI/CD pipelines, and cloud infrastructure for Elastic Cloud.</li>
<li>Knowledge of security features for Elasticsearch (TLS, X-Pack) and data protection best practices.</li>
<li>Excellent problem-solving and analytical skills with a focus on performance tuning and optimization.</li>
<li>Strong communication skills and ability to work in a collaborative, fast-paced environment.</li>
</ul>Preferred Qualifications:<ul>
<li>Experience with data pipeline tools such as Logstash, Beats, or similar.</li>
<li>Experience with cloud platforms (AWS, GCP, or Azure) for hosting and scaling Elasticsearch clusters.</li>
<li>Familiarity with ETL processes and working with large datasets in BigQuery and MongoDB.</li>
<li>Experience with API development and integrations using GoLang or similar technologies.</li></ul></div>

Elastic Cloud Engineer

MASTER-WORKS

<div>Job Overview:
Master Works is looking for a highly skilled LLM Engineer to join our AI Core Delivery team within the AI &amp; Analytics CoE. In this role, you will develop, deploy, and optimize advanced language model capabilities, including Retrieval-Augmented Generation (RAG) pipelines and agentic AI systems. You will play a key role in scaling AI Core as the central enterprise AI platform by ensuring production-ready performance, robust observability, and seamless integration of LLMs with internal and external systems.
Key Responsibilities<ul>
<li>Model Development &amp; Optimization</li>
<li><ul><li>Build and optimize RAG pipelines for efficient document processing, indexing, and retrieval.</li>
<li>Implement agentic AI logic for tool integration, task automation, and external data access.</li>
<li>Enhance query understanding, response ranking, and AI-generated output quality.</li>
<li>Develop evaluation benchmarks to measure LLM performance, accuracy, and relevance.</li>
</ul></li><li>LLMOps &amp; Deployment</li>
<li><ul><li>Collaborate with API developers and backend engineers to deliver secure, observable LLM endpoints.</li>
<li>Deploy and manage LLMs in cloud-native or hybrid environments with support for scalability and multi-cloud readiness.</li>
<li>Implement CI/CD workflows for model updates, rollback mechanisms, and performance tuning.</li>
</ul></li><li>Backend &amp; Data Integration</li>
<li><ul><li>Integrate LLM capabilities with enterprise data sources and knowledge bases.</li>
<li>Support multi-source retrieval and embedding strategies to improve AI responses.</li>
<li>Design pipelines that ensure low latency, high throughput, and fault tolerance.</li>
</ul></li><li>Security &amp; Compliance</li>
<li><ul><li>Apply enterprise-grade authentication, access management, and encryption standards.</li>
<li>Ensure compliance with internal governance policies, data privacy, and audit requirements.</li>
</ul></li><li>Continuous Improvement</li>
<li><ul><li>Monitor system performance, debug issues, and fine-tune models based on real-world feedback.</li>
<li>Stay updated on advancements in LLM architectures, open-source tools, and evaluation frameworks.</li>
</ul></li></ul>Requirements<ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, or related field.</li>
<li>Hands-on experience with LLM development and deployment (OpenAI, Anthropic, Hugging Face, LLaMA, etc.).</li>
<li>Strong understanding of Retrieval-Augmented Generation (RAG), embeddings, and vector databases.</li>
<li>Experience with cloud environments (AWS, Azure, GCP) and infrastructure-as-code (IaC).</li>
<li>Proficiency with Python or similar languages for AI/ML pipeline development.</li>
<li>Familiarity with container orchestration (Docker, Kubernetes) and CI/CD practices.</li>
<li>Knowledge of observability tools for monitoring AI performance in production environments.</li>
</ul>Preferred Skills<ul>
<li>Experience integrating agentic AI capabilities with external APIs and automation tools.</li>
<li>Strong grasp of prompt engineering, contextual memory systems, and LLM evaluation.</li>
<li>Exposure to enterprise AI security and compliance standards.</li></ul></div>

LLM Engineers

Explore 984+ Data pipeline engineer in Riyadh this September. Find roles across top companies and apply now to boost your career.

984 data pipeline engineer jobs IN Riyadh

Data Engineer

Senior Data Engineer

Data Engineer

Data Engineer

Data Engineer

Elastic Cloud Engineer

LLM Engineers