devops engineer

data scientist

field engineer

material engineer

data analyst

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>

Data Engineer

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>

Career Maker

We are looking for a Data Engineer to join our Clients data platform team and contribute to the development of high-performance, real-time data pipelines and unified analytics infrastructure. The ideal candidate has hands-on experience in data ingestion, transformation, and modeling from complex source systems such as ERPs, CRMs, and cloud platforms&mdash;without relying on traditional ETL frameworks.Key Responsibilities:<ul><li>Design, develop, and maintain scalable data pipelines for direct ingestion from enterprise source systems (ERP, CRM, databases, APIs).</li><li>Preserve raw, transaction-level data while enabling real-time access and analytics.</li><li>Leverage in-memory processing and distributed computing (e.g., Apache Spark) to optimize query performance.</li><li>Collaborate with analytics and BI teams to define physical and business data models for downstream consumption.</li><li>Support real-time and incremental data refreshes using lakehouse or modern data architecture principles.</li><li>Implement data access controls including role-based security and row-level permissions.</li><li>Ensure data quality and governance through automation, auditing, and monitoring.</li><li>Integrate the unified analytics platform with external BI tools (Power BI, Tableau, Excel, etc.).</li><li>Contribute to the platform's scalability, reliability, and performance tuning.</li></ul>Required Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, Engineering, or a related field.</li><li>3&ndash;5+ years of experience in data engineering or backend data infrastructure.</li><li>Proficiency in SQL, Python, or Scala for data manipulation and scripting.</li><li>Experience with distributed data processing frameworks like Apache Spark.</li><li>Knowledge of cloud data services (Azure, AWS, or GCP) and storage (e.g., Data Lake, S3, ADLS).</li><li>Understanding of data modeling, real-time ingestion, and schema management.</li><li>Familiarity with business systems like Oracle, SAP, or Salesforce is a plus.</li></ul>Preferred Skills:<ul><li>Experience working in a zero-ETL or direct data mapping environment.</li><li>Exposure to lakehouse architecture and columnar data stores.</li><li>Familiarity with modern data pipeline orchestration tools (Airflow, dbt, etc.).</li><li>Experience integrating with BI tools and building consumable data products.</li></ul>Job Type: Full-time <div id='job-id'>Job Id: KIwBk15Pwlj29Us8Y7rRcAVi3UfdgaDyIt6dqNSI9UdzEhOC2m7eveX3/nJiBRoGGZJrHzjbTb0eegarCrveN1nLvfcLEv/9F25Yg5eqswRsKuc=</div>

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>

SALLA

<div>We are seeking a skilled Senior Data Engineer with deep expertise in ClickHouse and streaming data, and a passion for building scalable real-time analytics solutions. In this role, you will design, develop, and optimize our data pipelines and analytics infrastructure, empowering our teams to harness real-time insights that enhance customer experience and drive business growth.
Key Responsibilities<ul><li>Design, implement, maintain and document highly scalable data pipelines for real-time and batch processing.</li><li>Build and optimize data systems to support accurate, low-latency analytics and reporting use cases.</li><li>Develop and maintain solutions for streaming and serverless data processing.</li><li>Collaborate with cross-functional teams to implement and support end-to-end analytics workflows.</li><li>Ensure data quality, reliability, and performance across the platform.</li><li>Monitor, troubleshoot, and optimize data infrastructure to maintain high availability.</li><li>Mentor junior engineers and contribute to the continuous improvement of engineering practices.</li></ul>
Requirements<ul><li>5+ years of experience in data engineering or related fields.</li><li>Strong expertise in ClickHouse: experience in designing schemas and jobs, optimizing data ingestion as well as queries, managing clusters, etc.</li><li>Proven experience in real-time data processing and enrichment using tools like Apache Kafka, Apache Flink, Apache Spark Streaming, Serverless technologies like AWS Lambda, GCP Functions, etc.</li><li>Deep understanding of Distributed systems architecture and design, with a focus on scalability and resilience, especially in relation to data processing</li><li>Proficiency in programming languages like Python, or Java
</li><li>Hands-on experience with cloud platforms (e.g., AWS, GCP, or Azure).</li><li>Familiarity with containerization and orchestration tools such as Docker and Kubernetes.</li><li>Strong problem-solving skills and ability to work in a fast-paced environment.</li><li>Excellent communication and collaboration skills, with a demonstrated ability to work effectively as part of a team.</li></ul>
Preferred Qualifications<ul><li>Experience in the e-commerce industry or similar high-traffic, data-intensive environments would be a big plus</li><li>Knowledge of ETL/ELT tools like Airflow, dbt, or equivalent</li><li>Familiarity with monitoring and observability tools for data systems (e.g., Prometheus, Grafana)</li></ul></div> <div id='job-id'>Job Id: 3lW67kHxojoTCwNpIJPI9l73Ei3615R37n19Ai5MsTGS4pVo9Im+45dE2zdRLxgXvMPbYj1EoozyVw4reg0n7rJJlQ==</div>

Senior Data Engineer

Vurke Inc. (Pvt) Ltd.

Data Engineer / MLOps SpecialistRole Summary Build data pipelines and model-ops infrastructure that keep AI workloads reliable, compliant, and cost-efficient.Key Responsibilities<ul><li>Ingest, transform, and version datasets with Databricks or Snowflake.</li><li>Create CI/CD pipelines for ML using GitHub Actions and Terraform.</li><li>Monitor model drift, latency, and resource usage with Prometheus &amp; Grafana.</li></ul>Must-Have Qualifications<ul><li>4+ years in data engineering or DevOps.</li><li>Kubernetes, Docker, and GPU orchestration skills.</li><li>Proficiency in Spark or Flink.</li></ul>Preferred<ul><li>Exposure to Ray Serve, KServe, or Sagemaker.</li><li>Certifications: Azure Data Engineer, CKAD.</li></ul>Engagement: Full-time contract, 6&ndash;12 months, remote with overlap to GMT+4.Job Types: Full-time, Permanent

Data Engineer / MLOps Specialist

<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> <div id='job-id'>Job Id: OEFmrmGW0YZ3E9bNHb//C0uSU3kw2ZioJTY5Fv2sa2CoGiAV34eUr41EezQMGnHEMRBfl/oWDPxIT6e8ssrpvvcjuggp5Cp7wyk7QljuoGxjP5FVpQp4fpw=</div>

Explore 2092+ Data engineer in Saudi Arabia this August. Find roles across top companies and apply now to boost your career.

2092 data engineer jobs IN Saudi Arabia

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Senior Data Engineer

Data Engineer / MLOps Specialist

Senior Data Engineer