devops engineer

senior software engineer

software engineer

data analyst

business analyst

data engineer

Halan - حالا

<div>
 
 Job Overview:
 
 
 We are seeking a talented and motivated Senior Data Engineer with expertise in Scala and Python to join our data engineering team. This individual will play a key role in the design, development, and optimization of our data infrastructure and data pipelines. The ideal candidate has a passion for building scalable, high-performance systems and is eager to broaden their knowledge across the entire data engineering stack, from hardware infrastructure to project development.
 
 
 Key responsibilities:
 
 
 &bull; Collaborate with cross-functional teams to design, develop, and maintain data engineering solutions using Scala, Python, and Apache Spark.
 
 
 &bull; Implementation of new data engineering technologies, frameworks, and tools, such as HDFS, MongoDB, and PostgreSQL, to enhance performance, scalability, and efficiency.
 
 
 &bull; Understand and optimize hardware and resource consumption for data engineering projects.
 
 
 &bull; Develop a deep understanding of hardware infrastructure, including servers, clusters, and distributed systems, to ensure optimal data processing and storage.
 
 
 &bull; Design and architect high-performance, fault-tolerant, and scalable data pipelines.
 
 
 &bull; Conduct research and stay current with the latest advancements in data engineering, hardware technologies, and distributed computing paradigms.
 
 
 &bull; Mentor and guide junior team members, fostering a culture of continuous learning and skill development.
 
 
 &bull; Collaborate with stakeholders to gather requirements, propose technical solutions, and deliver high-quality data engineering projects.
 
 
 Requirements:
 
 
 &bull; 2-3 years of professional experience as a Software Engineer, with a focus on data engineering.
 
 
 &bull; Keen interest in hardware infrastructure, resource consumption optimization, and data engineering project development.
 
 
 &bull; Proven ability to work effectively in an Agile development environment and manage multiple priorities.
 
 
 &bull; Strong problem-solving, analytical thinking, communication, and collaboration skills.
 
</div>

Data Engineer

QNBeyond Plus

<div>
 
 About the Role
 
 
 We are looking for a motivated
 
 Data Engineer
 
 to join our
 
 Data Management and AI team
 
 and contribute to building scalable data platforms that power analytics and AI initiatives across our digital banking ecosystem.
 
 
 In this role, you will design and develop
 
 data pipelines, streaming infrastructure, and data warehouse solutions
 
 that enable reliable and high-performance data processing.
 
 
 This is an excellent opportunity for a
 
 junior data engineer
 
 looking to grow within a fast-paced fintech environment while working on modern data technologies.
 
 
 Team Overview
 
 
 The
 
 Data Management and AI team
 
 works across the entire technology stack within QNBeyond Plus.
 
 
 Our team collaborates with engineering, analytics, and product teams to manage, process, and analyze data that enables innovative digital banking experiences for our customers.
 
 
 Key Responsibilities
 
 
 Data Pipeline Development
 
 <ul>
 <li>
 Design and build scalable
 
 data pipelines for batch and real-time processing
 
 .
 </li>
 <li>
 Implement ETL/ELT workflows integrating data from
 
 APIs, databases, and event streams
 
 .
 </li>
 </ul>
 
 Streaming &amp; Event Processing
 
 <ul>
 <li>
 Develop and maintain
 
 streaming data pipelines using tools such as Kafka or similar platforms
 
 .
 </li>
 <li>
 Ensure
 
 low-latency, reliable, and fault-tolerant data delivery
 
 .
 </li>
 </ul>
 
 Data Transformation
 
 <ul>
 <li>
 Develop
 
 data enrichment and transformation workflows
 
 to convert raw data into business-ready datasets.
 </li>
 <li>
 Implement SQL transformations across layered architectures (
 
 raw &rarr; bronze &rarr; silver &rarr; gold
 
 ).
 </li>
 </ul>
 
 Data Warehouse Development
 
 <ul>
 <li>
 Design and maintain
 
 data warehouse models and schemas
 
 .
 </li>
 <li>
 Optimize query performance and storage design for analytical workloads.
 </li>
 </ul>
 
 Data Quality &amp; Reliability
 
 <ul>
 <li>
 Implement
 
 data validation and quality checks
 
 .
 </li>
 <li>
 Monitor data pipeline performance and ensure reliability.
 </li>
 </ul>
 
 Collaboration
 
 <ul>
 <li>
 Work closely with
 
 engineering, analytics, and product teams
 
 to deliver production-ready data solutions.
 </li>
 </ul>
 
 What We Are Looking For
 
 
 You must be:
 
 <ul>
 <li>
 
 Self-motivated
 
 , proactive, and results-driven
 </li>
 <li>
 A
 
 team player
 
 who enjoys collaboration and learning
 </li>
 <li>
 A
 
 problem solver
 
 who approaches challenges analytically
 </li>
 <li>
 
 Customer-oriented
 
 , committed to delivering high-quality data solutions
 </li>
 <li>
 
 Detail-oriented
 
 , especially regarding data quality and compliance
 </li>
 <li>
 Adaptable and eager to grow in a
 
 fast-paced fintech environment
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 Education
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in
 
 Computer Science, Computer Engineering, or related field
 
 </li>
 </ul>
 
 Technical Knowledge
 
 <ul>
 <li>
 Understanding of
 
 computer systems and cloud environments
 
 </li>
 <li>
 Understanding of
 
 network protocols and system connectivity
 
 </li>
 </ul>
 
 Systems Skills
 
 <ul>
 <li>
 Experience using
 
 Linux command line tools
 
 </li>
 <li>
 Familiarity with
 
 SSH, SFTP, Bash, IP, ports, and networking concepts
 
 </li>
 </ul>
 
 Data Engineering Skills
 
 <ul>
 <li>
 Experience developing and optimizing
 
 ETL/ELT pipelines
 
 </li>
 <li>
 Experience with tools such as
 
 Informatica PowerCenter, Kafka, NiFi, or similar
 
 </li>
 </ul>
 
 Data &amp; Analytics
 
 <ul>
 <li>
 Strong
 
 SQL skills
 
 </li>
 <li>
 Understanding of
 
 data warehousing concepts and schema design
 
 </li>
 <li>
 Experience with
 
 data modeling and data lifecycle management
 
 </li>
 </ul>
 
 Programming
 
 <ul>
 <li>
 Programming experience using
 
 Python
 
 </li>
 <li>
 Scripting experience using
 
 Bash or similar tools
 
 </li>
 </ul>
 
 Experience
 
 <ul>
 <li>
 
 2+ years of experience working with ETL or data engineering workflows
 
 </li>
 <li>
 Experience with
 
 Informatica PowerCenter and MDM
 
 </li>
 <li>
 Experience developing and scaling
 
 data models within modern data warehouse architectures
 
 </li>
 <li>
 Experience implementing
 
 data enrichment and transformation logic
 
 </li>
 <li>
 Experience optimizing queries and storage design for analytics workloads
 </li>
 <li>
 At least
 
 1 year of experience in fintech, regulated environments, or PCI/DSS compliance
 
 is preferred
 </li>
 <li>
 Familiarity with
 
 performance monitoring tools
 
 </li>
 </ul>
</div>

Hire Hangar

<div>Join Hire Hangar and work with fast-growing global companies while building a long-term, remote career.
Job Title Data Engineer &ndash; Tech Industry
Location Remote
Time Zone US Time Zones (EST&ndash;PST)
Role Overview We are seeking a skilled and detail-oriented Data Engineer to design, build, and maintain scalable data infrastructure for a fast-growing tech company. This is a full-time role requiring deep technical expertise in data pipelines, warehousing, and architecture. The ideal candidate is analytical, collaborative, and comfortable working across large datasets while partnering with data science, product, and engineering teams to deliver reliable, high-quality data solutions.
Key Responsibilities<ul><li>
Design, build, and maintain robust, scalable data pipelines and ETL/ELT workflows</li><li>
Develop and manage data warehousing solutions to support business intelligence and analytics needs</li><li>
Ensure data quality, integrity, and availability across all data systems and sources</li><li>
Collaborate with data scientists, analysts, and product teams to understand and fulfill data requirements</li><li>
Optimize query performance and database architecture for speed and efficiency</li><li>
Monitor, troubleshoot, and resolve data pipeline failures and incidents</li><li>
Implement and enforce data governance, security, and compliance best practices</li><li>
Document data models, processes, and infrastructure to support team knowledge sharing</li></ul>
Required Qualifications<ul><li>
4+ years of experience as a Data Engineer or in a similar data infrastructure role within a tech company (non-negotiable)</li><li>
Strong proficiency in SQL and at least one programming language such as Python or Scala</li><li>
Hands-on experience building and managing ETL/ELT pipelines using tools such as Apache Airflow, dbt, or similar</li><li>
Experience with cloud data platforms such as AWS, GCP, or Azure, and data warehouses such as Snowflake, BigQuery, or Redshift</li><li>
Solid understanding of data modeling, schema design, and database optimization</li><li>
Strong problem-solving skills with the ability to manage complex, high-volume data environments</li><li>
Must have prior remote work experience, be fluent with remote collaboration tools and platforms (such as Slack, Zoom, Google Workspace, Asana, or similar), and have ideally worked with US or UK-based companies. Applications without this experience will not be considered.</li></ul>
Preferred Qualifications<ul><li>
Experience with real-time or streaming data pipelines using tools such as Kafka or Spark</li><li>
Familiarity with data lakehouse architectures (e.g., Delta Lake, Apache Iceberg)</li><li>
Exposure to machine learning workflows and supporting ML data infrastructure</li><li>
Experience working in an Agile or DevOps environment with CI/CD practices applied to data workflows</li></ul>
Tools &amp; Technology<ul><li>
Python, SQL, or Scala</li><li>
Apache Airflow, dbt, or equivalent pipeline orchestration tools</li><li>
Snowflake, BigQuery, or Redshift</li><li>
AWS, GCP, or Azure</li><li>
Kafka or Spark (advantageous)</li><li>
Google Workspace</li><li>
Slack, Zoom, Jira, and other remote collaboration tools</li></ul>
Please NOTE
It is crucial that you complete the application form in full. As part of the application process, you will be required to record a video. If your application is successful, you will receive an email confirming next steps&mdash;the video is the first step of the interview process. If you do not record a video, we will not be able to consider you for ANY open roles.
We connect top talent with vetted employers, competitive pay, and real growth opportunities.</div>

YO IT Consulting

<div>
 
 Job Title:
 
 Data Engineer
 
 
 
 Job Type:
 
 Contractor
 
 
 
 Location:
 
 Remote
 
 
 
 Job Summary
 
 
 
 We are seeking an expert Data Engineer to join our customer&rsquo;s team and play a pivotal role in developing next-generation AI agents. In this fully remote role, you will leverage your strong data engineering, coding, and AI/ML expertise to help train and optimize advanced AI systems. Collaborate with talented professionals in a dynamic environment where your technical skills and innovative mindset will directly impact the project's success.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, implement, and manage data pipelines to support complex AI agent training initiatives.
 </li>
 <li>
 Collaborate closely with AI/ML engineers to ensure efficient data flows and high-quality training datasets.
 </li>
 <li>
 Develop and maintain scalable ETL processes using Python, MySQL, and PostgreSQL.
 </li>
 <li>
 Utilize JAVA and JavaScript to integrate diverse data sources and enable seamless data exchange.
 </li>
 <li>
 Contribute to the optimization of AI models through effective data engineering practices.
 </li>
 <li>
 Document data processes comprehensively and communicate technical concepts clearly to both technical and non-technical stakeholders.
 </li>
 <li>
 Troubleshoot and resolve data issues, ensuring data integrity and reliability for AI applications.
 
 
 </li>
 </ul>
 
 Required Skills And Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field.
 </li>
 <li>
 3+ years of hands-on experience as a Data Engineer, with proven expertise in AI/ML projects.
 </li>
 <li>
 Advanced proficiency in Python, MySQL, PostgreSQL, JAVA, and JavaScript.
 </li>
 <li>
 Strong understanding of AI concepts and experience in training AI agents.
 </li>
 <li>
 Exceptional written and verbal communication skills, with a focus on clarity and collaboration.
 </li>
 <li>
 Experience implementing robust data pipelines and scalable architecture for machine learning projects.
 </li>
 <li>
 Self-motivated, detail-oriented, and able to thrive in a fully remote team environment.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in a related field.
 </li>
 <li>
 Direct experience with AI agent frameworks and real-world deployment projects.
 </li>
 <li>
 Previous work in fast-paced startup or innovation-driven environments.
 </li>
 </ul>
</div>

Data Engineer - Remote

DEEL

<div>Who we are is what we do.
Deel is the all-in-one payroll and HR platform for global teams. Our vision is to unlock global opportunity for every person, team, and business. Built for the way the world works today, Deel combines HRIS, payroll, compliance, benefits, performance, and equipment management into one seamless platform. With AI-powered tools and a fully owned payroll infrastructure, Deel supports every worker type in 150+ countries&mdash;helping businesses scale smarter, faster, and more compliantly.
Among the largest globally distributed companies in the world, our team of 7,000 spans more than 100 countries, speaks 74 languages, and brings a connected and dynamic culture that drives continuous learning and innovation for our customers.
Why should you be part of our success story?
As the fastest-growing Software as a Service (SaaS) company in history, Deel is transforming how global talent connects with world-class companies &ndash; breaking down borders that have traditionally limited both hiring and career opportunities. We're not just building software; we're creating the infrastructure for the future of work, enabling a more diverse and inclusive global economy. In 2024 alone, we paid $11.2 billion to workers in nearly 100 currencies and provided healthcare and benefits to workers in 109 countries&mdash;ensuring people get paid and protected, no matter where they are.
Our momentum is reflected in our achievements and customer satisfaction: CNBC Disruptor 50, Forbes Cloud 100, Deloitte Fast 500, and repeated recognition on Y Combinator&rsquo;s top companies list &ndash; all while maintaining a 4.83 average rating from 15,000 reviews across G2, Trustpilot, Captera, Apple and Google.
Your experience at Deel will be a career accelerator. At the forefront of the global work revolution, you'll tackle complex challenges that impact millions of people's working lives. With our momentum&mdash;backed by a $17.3 billion valuation and $1 B in Annual Recurring Revenue (ARR) in just over five years&mdash;you'll drive meaningful impact while building expertise that makes you a sought-after leader in the transformation of global work.
Responsibilities<ul><li>
Design, build, and maintain efficient data pipelines (ETL processes) to integrate data from various source systems into the data warehouse.</li><li>
Develop and optimize data warehouse schemas and tables to support analytics and reporting needs.</li><li>
Write and refine complex SQL queries and use scripting (e.g., Python) to transform and aggregate large datasets.</li><li>
Implement data quality measures (such as validation checks and cleansing routines) to ensure data integrity and reliability.</li><li>
Collaborate with data analysts, data scientists, and other engineers to understand data requirements and deliver appropriate solutions.</li><li>
Document pipeline designs, data flows, and data definitions for transparency and future reference, adhering to team standards.</li><li>
Handle multiple tasks or projects simultaneously, prioritizing work and communicating progress to stakeholders to meet deadlines.</li></ul>
Qualifications<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in a relevant field (e.g., Computer Science, Mathematics, Physics).</li><li>
At least 3 years of experience in a data engineering or similar backend data development role.</li><li>
Strong SQL skills and experience with data modeling and building data warehouse solutions.</li><li>
Proficiency in at least one programming language (e.g., Python) for data processing and pipeline automation.</li><li>
Familiarity with ETL tools and workflow orchestration frameworks (e.g., Apache Airflow or similar).</li><li>
Experience implementing data quality checks and working with large-scale datasets.</li><li>
Good problem-solving abilities, plus strong communication and teamwork skills to work with cross-functional stakeholders.</li></ul>
Total Rewards
Our workforce deserves fair and competitive pay that meets them where they are. With scalable benefits, rewards, and perks, our total rewards programs reflect our commitment to inclusivity and access for all.
Some things you&rsquo;ll enjoy<ul><li>
Stock grant opportunities dependent on your role, employment status and location</li><li>
Additional perks and benefits based on your employment status and country</li><li>
The flexibility of remote work, including optional WeWork access</li></ul>
At Deel, we&rsquo;re an equal-opportunity employer that values diversity and positively encourage applications from suitably qualified and eligible candidates regardless of race, religion, sex, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, pregnancy or maternity or other applicable legally protected characteristics.
Unless otherwise agreed, we will communicate with job applicants using Deel-specific emails, which include @deel.com and other acquired company emails like @payspace.com and @paygroup.com. You can view the most up-to-date job listings at Deel by visiting our careers page. 
 
Deel is an equal-opportunity employer and is committed to cultivating a diverse and inclusive workplace that reflects different abilities, backgrounds, beliefs, experiences, identities and perspectives.
Deel will provide accommodations on request throughout the recruitment, selection and assessment process for applicants with disabilities. If you require accommodations, please inform our Talent Acquisition Team via this link and a team member will be in touch to ensure your equal participation. If you have difficulty accessing the form, please email at recruiting@deel.com.
As part of our hiring process, we primarily rely on interviews and role-related assessments. In limited cases, we may also consider informal background information relevant to the role, in line with our privacy and fairness obligations.
This application process does utilise Automated Employment Decision Tools (AEDT) and AI systems to assist in evaluating candidates based on experience level, technical skills and qualifications. As a fully remote company, we also utilise AI-powered deepfake and fraud detection technologies to verify the authenticity of candidate identities and interactions during assessments and interviews. This processing is conducted in compliance with applicable Data Protection, AI Governance and Labour Laws. We ensure human oversight is maintained in all final hiring decisions. Your personal data is not used to train AI models. For more information on how we process your personal data, please see our Privacy Policy.<ul><li>
For NYC Residents: In accordance with NYC Local Law 144, an independent bias audit has been conducted on AEDT; results are available at Ashby, Covey.</li></ul></div>

TAQA Water

<div>
 
 About The Job Junior Data Engineer
 
 
 
 As a Junior Data Engineer, you will be responsible for supporting the design, development, and maintenance of our data infrastructure. You will work closely with key users to identify efficient data processing and analysis of large datasets.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Assist in the design and implementation of data pipelines.
 </li>
 <li>
 Develop and maintain PySpark notebooks for data processing and analysis.
 </li>
 <li>
 Support the integration and management of data from various sources, including dataflows and data lakes.
 </li>
 <li>
 Work with both structured and unstructured data to ensure comprehensive data coverage.
 </li>
 <li>
 Collaborate with team members to optimize data workflows and improve data quality.
 </li>
 <li>
 Monitor and troubleshoot data processing systems to ensure reliability and performance.
 </li>
 <li>
 Document data processes and workflows for future reference.
 </li>
 <li>
 Stay updated with the latest industry trends and technologies in data engineering.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Information Technology, or a related field from1 to 2 years' experience
 </li>
 <li>
 Proficiency in PySpark and Python programming.
 </li>
 <li>
 Knowledge of Microsoft Fabric components and their application in data engineering.
 </li>
 <li>
 Familiarity with SQL and database management systems, including data warehouses.
 </li>
 <li>
 Familiarity with data gateways for secure data transfer.
 </li>
 <li>
 Strong problem-solving skills and attention to detail.
 </li>
 <li>
 Excellent communication and teamwork abilities.
 </li>
 </ul>
</div>

Junior Data Engineer

Atos

<div>
 
 About Atos
 
 
 
 Atos is a global leader in digital transformation with c. 78,000 employees and annual revenue of c. &euro; 10 billion. European number one in cybersecurity, cloud and high-performance computing, the Group provides tailored end-to-end solutions for all industries in 68 countries. A pioneer in decarbonization services and products, Atos is committed to a secure and decarbonized digital for its clients. Atos is a SE (Societas Europaea) and listed on Euronext Paris.
 
 
 The purpose of Atos is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.
 
 
 
 Senior Data Engineer
 
 
 
 We are looking for a talented Data Engineer to join our team and play a pivotal role in transforming our data ecosystem. The ideal candidate will have extensive experience in handling data from diverse business areas and managing data sources from a range of commercial and custom tools. They should be proficient in data engineering technologies, including Snowflake, Talend (or similar ETL tools), and bring expertise in Python, dbt, and Airflow. Familiarity with API integrations and experience with Tableau or other data visualization tools would be an advantage.In this role, you will also work directly with business stakeholders, running workshops to gather requirements and convert them into actionable data solutions. Experience working in an agile environment is essential.
 
 
 
 Responsibilities
 
 
 
 Design, develop, and maintain ETL pipelines to extract, transform, and load data from various sources into our data warehouse.
 
 
 Collaborate with Data Analytics Product Owner and business stakeholders to understand data requirements and offer recommendations to improve data collection, processing, and analysis.
 
 
 Build and maintain data models to enable efficient SQL-based reporting and analysis.
 
 
 Implement data workflows and transformations using dbt, and orchestrate data pipelines with Airflow.
 
 
 Develop and maintain data integrations via APIs where necessary.
 
 
 Monitor, troubleshoot, and optimize data pipeline performance to ensure data accuracy, reliability, and availability.
 
 
 Collaborate with data engineers, data scientists, and analysts to develop data-driven solutions that drive business outcomes.
 
 
 
 Requirements
 
 
 
 Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field.
 
 
 5+ years of experience in data engineering.
 
 
 Proficiency with data management tools like Snowflake, Talend, or similar ETL tools.
 
 
 Strong experience with Python, dbt, and Airflow.
 
 
 Solid understanding of SQL and database design.
 
 
 Knowledge of API integrations.
 
 
 Experience with Tableau or other data visualization tools (nice to have).
 
 
 Demonstrated ability to work independently and within a collaborative team environment.
 
 
 Strong analytical and problem-solving skills.
 
 
 Excellent communication and interpersonal skills.
 
 
 English fluency is required; proficiency in French is a plus.
 
 
 Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all.
 
 
 Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment.
 
 
 
 Choose your future. Choose Atos.
 
</div>

SENIOR DATA ENGINEER

Explore 1712+ Data engineer in Egypt this May. Find roles across top companies and apply now to boost your career.

1712 data engineer jobs In Egypt

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SENIOR DATA ENGINEER