technical support engineer

data analyst

database senior engineer

integration engineer

senior data engineer

data support engineer

Advansys

Advansys is a dynamic solutions provider focused on delivering smart, modular, and sustainable technology solutions that enhance operations, improve customer experiences, and drive business modernization. With over 400 skilled engineers, we serve 100+ enterprise customers across 14 countries. Specialized in a wide array of premium services including Business Automation, Industrial Digitization, Low code Development, Cloud Services, Warehouse Automation & Strategic Outsourcing.
 
Founded in 2014, Advansys is part of the INTRO Group, a private conglomerate established in 1980 with diverse investments across different business areas, oil and gas, real estate, specialized engineering, financial investment, Food & manufacturing.
 
We are looking for an experienced RAID Support Engineer who will be responsible for maintaining and troubleshooting our data management systems. In this role, you will provide support for complex SQL & PL/SQL issues, help with the performance tuning of Apache Spark jobs, monitor and manage Hive DB, and assist with Python-based automation and scripting. You will work closely with internal teams to ensure system availability, reliability, and optimal performance.
 
Job description: 
<ul>
<li>Provide technical support for RAID-related systems, resolving issues related to SQL & PL/SQL queries, Hive DB, Apache Spark jobs, and Python automation.</li>
<li>Monitor system performance and proactively identify areas for optimization in data pipelines, SQL queries, and Spark jobs.</li>
<li>Troubleshoot issues related to data systems, including Spark jobs, Hive DB, and SQL/PLSQL processes, ensuring minimal downtime.</li>
<li>Work with the development and data engineering teams to implement bug fixes, performance enhancements, and system upgrades.</li>
<li>Perform root cause analysis for recurring issues and implement long-term solutions.</li>
<li>Support data integrations, ETL processes, and workflows, ensuring they run efficiently across systems.</li>
<li>Assist in the automation of common support tasks using Python scripting and SQL automation.</li>
<li>Manage and troubleshoot issues with distributed data processing platforms like Apache Spark, ensuring data jobs are running as expected.</li>
<li>Document incidents, troubleshooting steps, and solutions to create knowledge base articles for internal teams.</li>
<li>Collaborate with cross-functional teams including Data Engineers, Analysts, and Developers to provide timely and effective support.</li>
<li>Assist with deployments and system upgrades, ensuring minimal disruption to ongoing operations.</li>
</ul>
Requirements: 
<ul>
<li>Mandatory Technical Skills:</li>
<li>SQL (Very Good): Strong ability to write complex queries, troubleshoot data issues, and optimize database performance.</li>
<li>Linux (Good): Comfortable with shell commands, log analysis, and process management.</li>
<li>Additional / Nice-to-Have Skills:</li>
<li>HIVE: Understanding of querying big data environments.</li>
<li>XML: Ability to parse and handle XML data formats.</li>
<li>Python: Basic scripting for automation or data handling.</li>
<li>Non-Technical Skills:</li>
<li>Excellent communication (oral and written).</li>
<li>Strong analytical and problem-solving skills.</li>
</ul>
Benefits: 
<ul>
<li>Hybrid working model</li>
<li>Social and medical insurance</li>
<li>Transportation</li>
</ul>

Data Support Engineer

Advansys ME

Advansys is a dynamic solutions provider focused on delivering smart, modular, and sustainable technology solutions that enhance operations, improve customer experiences, and drive business modernization. With over 400 skilled engineers, we serve 100+ enterprise customers across 14 countries. Specialized in a wide array of premium services including Business Automation, Industrial Digitization, Low code Development, Cloud Services, Warehouse Automation & Strategic Outsourcing.
 
Founded in 2014, Advansys is part of the INTRO Group, a private conglomerate established in 1980 with diverse investments across different business areas, oil and gas, real estate, specialized engineering, financial investment, Food & manufacturing.
 
We are looking for an experienced RAID Support Engineer who will be responsible for maintaining and troubleshooting our data management systems. In this role, you will provide support for complex SQL & PL/SQL issues, help with the performance tuning of Apache Spark jobs, monitor and manage Hive DB, and assist with Python-based automation and scripting. You will work closely with internal teams to ensure system availability, reliability, and optimal performance.
 
Job description: 
Provide technical support for RAID-related systems, resolving issues related to SQL & PL/SQL queries, Hive DB, Apache Spark jobs, and Python automation.
 Monitor system performance and proactively identify areas for optimization in data pipelines, SQL queries, and Spark jobs.
 Troubleshoot issues related to data systems, including Spark jobs, Hive DB, and SQL/PLSQL processes, ensuring minimal downtime.
 Work with the development and data engineering teams to implement bug fixes, performance enhancements, and system upgrades.
 Perform root cause analysis for recurring issues and implement long-term solutions.
 Support data integrations, ETL processes, and workflows, ensuring they run efficiently across systems.
 Assist in the automation of common support tasks using Python scripting and SQL automation.
 Manage and troubleshoot issues with distributed data processing platforms like Apache Spark, ensuring data jobs are running as expected.
 Document incidents, troubleshooting steps, and solutions to create knowledge base articles for internal teams.
 Collaborate with cross-functional teams including Data Engineers, Analysts, and Developers to provide timely and effective support.
 Assist with deployments and system upgrades, ensuring minimal disruption to ongoing operations.
 Requirements
 
Mandatory Technical Skills: 
SQL (Very Good): Strong ability to write complex queries, troubleshoot data issues, and optimize database performance.
 Linux (Good): Comfortable with shell commands, log analysis, and process management.
 
Additional / Nice-to-Have Skills: 
HIVE: Understanding of querying big data environments.
 XML: Ability to parse and handle XML data formats.
 Python: Basic scripting for automation or data handling.
 
Non-Technical Skills: 
Excellent communication (oral and written).
 Strong analytical and problem-solving skills.
 Benefits
 Hybrid working model
 Social and medical insurance
 Transportation

sonnen Egypt

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 4758
 
 
 At the earliest date possible we are looking for support for our #teamsonnen
 
 
 Clean and affordable energy for all is one of the greatest challenges of our time. Sonnen has been committed to this mission since 2010 and is now represented in Europe, the USA and Australia with over 1,000 team members globally. In Germany, our offices are located in the beautiful Wildpoldsried (Allg&auml;u) and the vibrating heart of Berlin Kreuzberg.
 
 
 At sonnen, we are building the energy system of the future. To this end, we are developing new technologies and business models that have not existed before. Whether intelligent power storage, virtual power plants or digital services - we set the trends of a new energy world. That means, among other things, the inexpensive production and storage of renewable energy and the intelligent networking of producers and consumers. sonnen thereby gives people around the world the opportunity to become independent of fossil fuels and conventional energy supplier.
 
 
 We are growing steadily and are looking for people who want to join us in our vision of clean and affordable energy for all while making a positive impact on climate change.
 
 
 We are seeking a Data Engineer (m/f/d) to join our team and play a pivotal role in enabling our Business Intelligence and Data Science teams. As a Data Engineer, you will be responsible for maintaining and enhancing our AWS-based analytics platform, provisioning data from various sources, and enabling the development and stable operation of analytical solutions. We&rsquo;re looking for someone who shares our values, who isn&rsquo;t afraid to challenge existing processes, and who would like to work on innovative solutions in a fast-moving environment. If this sounds like you, then don&rsquo;t hesitate to get in touch.
 
 
 
 What you will do to help drive the energy transition:
 
 
 
 <ul>
 <li>
 (Senior) Define and design the architecture of our analytics platform, ensuring scalability, performance, and reliability.
 </li>
 <li>
 You design and build scalable data pipelines, ETL processes, and data lake and data warehousing solutions to support our analytics solutions.
 </li>
 <li>
 You develop and maintain data integration processes with a variety of structured and unstructured data sources.
 </li>
 <li>
 You implement, test, and maintain infrastructural components of sonnen&rsquo;s analytics platform and deploy and maintain data models.
 </li>
 <li>
 You implement data quality checks and monitoring mechanisms to ensure accuracy, completeness, and consistency of data.
 </li>
 <li>
 You define coding principles and support data scientists and analysts in implementing algorithms into operational solutions.
 </li>
 <li>
 Adhere to stringent quality assurance and documentation standards, utilizing version control and code repositories such as Gitlab.
 </li>
 <li>
 You stay up to date with emerging trends and technologies in data engineering and assess their potential applications to our business needs.
 </li>
 <li>
 (Senior) Share your knowledge by coaching/pair coding with more junior engineers.
 
 
 </li>
 </ul>
 
 What You Will Need On That Journey
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science or a related technical field.
 </li>
 <li>
 +3 years of relevant employment experience in roles such as Data Scientist, Data Engineer, or Data Architect.
 </li>
 <li>
 +3 years of experience with ETL tools, Data Modeling, and Data Architecture.
 </li>
 <li>
 Experience with Big Data technologies such as Hadoop, Hive, and Spark.
 </li>
 <li>
 Ability to translate organizational goals into technical solutions.
 </li>
 <li>
 Experience with Infrastructure as Code (experience in Terraform and Ansible are a plus).
 </li>
 <li>
 Proficiency in Python, SQL, and NoSQL.
 </li>
 <li>
 Excellent communication and project management skills.
 
 
 </li>
 </ul>
 
 Stellensegment:
 
 Data Warehouse, Business Intelligence, Computer Science, Quality Assurance, Project Manager, Technology
</div>

Data Engineer (m/f/d)

Envision Employment Solutions

Envision Employment Solutions is currently looking for a Data & AI Engineer for one of our partners, a global leader in the chemical industry field.
 
Job Summary: 
The Data & AI Engineer is responsible for designing, building, and maintaining the data infrastructure, pipelines, and AI solutions necessary to support the company's business needs. This role combines expertise in data engineering and applied AI to enable scalable data processing, advanced analytics, and machine learning capabilities. The engineer will work with large datasets, optimize data flows, and deliver AI-driven solutions that enhance decision-making and operational efficiency.
 The ideal candidate brings extensive experience in data engineering and a strong technical background in data architecture and ETL processes. They demonstrate a deep understanding of data governance and best practices, with a proven ability to manage large-scale data environments. The candidate excels in collaboration, problem-solving, and driving continuous improvement in data engineering practices.
 
Responsibilities: 
<ul>
<li>Design, develop, and maintain data pipelines to support data integration, processing, and AI/ML workflows.</li>
<li>Ensure data quality, integrity, and security across all data and AI systems.</li>
<li>Develop and implement ETL processes to ingest data from diverse sources for analytics and machine learning.</li>
<li>Optimize data storage, retrieval, and AI model serving for performance and scalability.</li>
<li>Collaborate with data scientists and analysts to provide high-quality datasets, features, and infrastructure for analytics, reporting, and AI experimentation.</li>
<li>Build, deploy, and maintain AI/ML models to solve business problems, automate processes, and enhance decision-making.</li>
<li>Implement and maintain data governance, model governance, and MLOps best practices.</li>
<li>Monitor and troubleshoot data pipelines, AI models, and ML workflows to ensure reliability, accuracy, and efficiency.</li>
<li>Support data-driven and AI-driven initiatives by enabling timely access to trusted data and scalable AI solutions.</li>
<li>Develop and maintain documentation for data processes, AI pipelines, and deployed models.</li>
<li>Stay up to date with emerging data and AI technologies, tools, and industry best practices.</li>
<li>Ensure compliance with data protection regulations, ethical AI principles, and internal policies.</li>
<li>Provide training and support to stakeholders on data systems, AI capabilities, and best practices.</li>
<li>Lead efforts to continuously improve data infrastructure, AI platforms, and automation processes.</li>
<li>Collaborate with IT, business units, and functional teams to align data and AI initiatives with organizational goals.</li>
</ul>
Requirements: 
<ul>
<li>Bachelor’s degree in computer science, Information Technology, Data Science, or a related field.</li>
<li>Proven experience of at least 5+ years in data engineering, 2+ years in AI engineering, with a focus on building and maintaining data & AI pipelines in a CoE or Specialist role.</li>
<li>Proven experience in developing and implementing ETL processes.</li>
<li>Strong background in data architecture and Azure technologies.</li>
<li>In-depth knowledge of data governance and data quality management principles.</li>
<li>Excellent written and verbal English language proficiency</li>
</ul>
Skills: 
<ul>
<li>Demonstrated expertise in designing, maintaining, and optimizing data pipelines, AI pipelines, and infrastructure.</li>
<li>Strong technical knowledge of ETL processes, data integration, and MLOps using Microsoft Fabric or Azure tools.</li>
<li>Proficiency in programming languages (e.g., Python, Java, SQL) for data processing, as well as AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).</li>
<li>Hands-on experience in developing, deploying, and scaling machine learning models in production environments.</li>
<li>Excellent problem-solving and analytical skills, with a proactive approach to identifying and addressing data and AI challenges.</li>
<li>Strong communication and interpersonal skills, able to engage effectively with stakeholders at all levels and explain AI-driven insights in business terms.</li>
<li>Adept at managing multiple projects and priorities in a dynamic environment, including data and AI initiatives.</li>
<li>Proficiency in data governance, model governance, and data quality management principles.</li>
<li>Strong understanding of data protection regulations, compliance requirements, and ethical AI practices.</li>
<li>Experience in troubleshooting and resolving data and AI-related issues, including pipeline failures and model drift.</li>
<li>Ability to provide training and support on data systems, AI tools, and best practices.</li>
<li>Adaptable and agile mindset towards continuous improvement, staying current with evolving data, cloud, and AI technologies.</li>
<li>Strong analytical skills to interpret data, evaluate model performance, and predict trends for business advantage.</li>
<li>Ability to work closely with team members, management, senior leadership, and cross-functional teams to deliver data- and AI-driven value.</li>
<li>Excellent verbal and written communication skills in English, with the ability to articulate and present complex technical and AI concepts clearly and concisely.</li>
</ul>

Data & AI Engineer

Envision Employment Solutions is currently hiring a Senior Data Engineer on behalf of one of our partners, a leader in the retail Motor Vehicles field.
 
Job Summary: 
We’re looking for a Senior Data Engineer to help shape the foundation of the company's data ecosystem. You will be responsible for building and maintaining scalable data pipelines, warehouses, and systems that power analytics, reporting, and AI-driven decision-making across the company. You’ll work closely with data scientists, analysts, and product/engineering teams to ensure our data infrastructure is high-performing, reliable, and secure.
 
Responsibilities: 
<ul>
<li>Design, build, and maintain robust ETL/ELT pipelines to collect, process, and transform data from multiple internal and external sources.</li>
<li>Develop and manage data models, schemas, and warehouse/lakehouse solutions (e.g., Snowflake, BigQuery, Redshift, Databricks).</li>
<li>Ensure high standards of data quality, governance, and lineage across all systems.</li>
<li>Implement workflow orchestration and automation using tools such as Airflow, dbt, or Dagster.</li>
<li>Collaborate with analytics, product, and engineering teams to define and enforce data architecture best practices.</li>
<li>Enable real-time and batch data processing pipelines using technologies like Kafka, Spark, or Flink.</li>
<li>Optimize data storage, query performance, and cost efficiency across the company's data platforms.</li>
<li>Champion modern data engineering principles — versioning, CI/CD, observability, and infrastructure-as-code.</li>
<li>Work closely with the AI and Data Science teams to support model development and deployment pipelines.</li>
</ul>
Requirements: 
<ul>
<li>Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.</li>
<li>5+ years of experience in data engineering or a similar role.</li>
<li>Strong proficiency with SQL and at least one programming language (Python, Scala, or Java).</li>
<li>Hands-on experience with modern data stacks — Airflow, Snowflake/BigQuery/Redshift.</li>
<li>Experience working with cloud environments such as AWS, GCP (preferably GCP).</li>
<li>Solid understanding of data modeling, partitioning, and performance optimization techniques.</li>
<li>Familiarity with containerization/orchestration (Docker, Kubernetes) and CI/CD for data systems.</li>
<li>Excellent problem-solving, communication, and collaboration skills.</li>
</ul>

Senior Data Engineer

Americana Foods

<div>
 
 
 Job Summary
 
 
 
 The Fleet Analysis Engineer monitors fleet technical expenses, tracks maintenance trends, and supports preventive maintenance projects and fleet CAPEX tracking. He also assists in evaluating fleet conditions, maintaining data registries, and implementing overhauling plans.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Track Heavy Fleet &amp; Sales Fleet technical expenses (Maintenance, Licenses, Fuel&hellip;etc.) and compare it to forecasts and budgets.
 </li>
 <li>
 Track maintenance trend of fleet and analyze trends per region per fleet type per month.
 </li>
 <li>
 Support in implementing Preventive maintenance project.
 </li>
 <li>
 Maintain &amp; Analyze maintenance master data registry.
 </li>
 <li>
 Assist in evaluating fleet condition statement per vehicle every quarter.
 </li>
 <li>
 Assist in overhauling plan building and implementation.
 </li>
 <li>
 Assist in Fleet CAPEX tracking.
 </li>
 </ul>
 
 
 
 
 
 Location:
 
 Tanta, Al Gharbiyah, Egypt
 
 
 
</div>

Fleet Engineer

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 5268
 
 
 At the earliest date possible we are looking for support for our #teamsonnen
 
 
 Clean and affordable energy for all is one of the greatest challenges of our time. Sonnen has been committed to this mission since 2010 and is now represented in Europe, the USA and Australia with over 1,000 team members globally. In Germany, our offices are located in the beautiful Wildpoldsried (Allg&auml;u) and the vibrating heart of Berlin Kreuzberg.
 
 
 At sonnen, we are building the energy system of the future. To this end, we are developing new technologies and business models that have not existed before. Whether intelligent power storage, virtual power plants or digital services - we set the trends of a new energy world. That means, among other things, the inexpensive production and storage of renewable energy and the intelligent networking of producers and consumers. sonnen thereby gives people around the world the opportunity to become independent of fossil fuels and conventional energy supplier.
 
 
 We are growing steadily and are looking for people who want to join us in our vision of clean and affordable energy for all while making a positive impact on climate change.
 
 
 We are seeking for a Data Engineer who will empower sonnen&rsquo;s business with data-driven insights, services and products with the help of sonnen&rsquo;s AWS-based analytics platform and by provisioning data from various sources from within and outside the company.
 
 
 We&rsquo;re looking for someone who shares our values, who isn&rsquo;t afraid to challenge existing processes, and who would like to work on innovative solutions in a fast-moving environment. If this sounds like you, then don&rsquo;t hesitate to get in touch.
 
 
 
 What you will do to help drive the energy transition:
 
 
 
 <ul>
 <li>
 You develop and maintain data analysis processes with a variety of structured and unstructured data sources.
 </li>
 <li>
 You implement, test, and maintain infrastructural components of sonnen&rsquo;s analytics platform and deploy and maintain data models.
 </li>
 <li>
 You implement data quality checks and monitoring mechanisms to ensure accuracy, completeness, and consistency of data.
 </li>
 <li>
 You collaborate with the business SMEs and stakeholders to understand their data requirements and support their analysis and modeling needs.
 </li>
 <li>
 You adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., Gitlab).
 </li>
 <li>
 You stay up-to-date with emerging trends and technologies in data engineering, and assess their potential applications to our business needs.
 
 
 </li>
 </ul>
 
 What You Will Need On That Journey
 
 
 
 <ul>
 <li>
 You hold a bachelor&rsquo;s degree in Computer Science or a related technical field
 </li>
 <li>
 You have 3+ years of relevant employment experience (Data Scientist, Engineer or Architect)
 </li>
 <li>
 You have experience with data architecture and warehousing solutions (e.g. AWS Redshift, Databricks)
 </li>
 <li>
 You continue to enhance the existing platform, creating the technical foundation for scalable processes. Both data and result quality are important to you.
 </li>
 <li>
 You have good knowledge of Python, Pandas, SQL, NoSQL, RestAPI
 </li>
 <li>
 You are fluent in English. German is a plus.
 
 
 </li>
 </ul>
 
 Stellensegment:
 
 Computer Science, Quality Assurance, Database, SQL, Technology
</div>

Data Engineer (m/w/d)

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Data Support Engineer

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Data Engineer (m/w/d)