data engineer

ai platform engineer

contracts team leader

data analyst

devops engineer

data engineering lead

Deloitte

<div>
 
 Data Engineering Tech Lead, Cairo, Egypt
 
 
 
 
 Connect to your career at Deloitte
 
 
 
 Deloitte, established globally in 1845, is the world&rsquo;s largest and leading professional services firm, providing Audit &amp; Assurance, Tax &amp; Legal and Consulting and related services to public and private clients spanning multiple industries. Present in more than 150 countries, Deloitte is distinct in its ability to help clients solve their most complex problems, from strategy to implementation.
 
 
 Deloitte innovation hub (DIH) is a strategic initiative established by Deloitte North &amp; South Europe (NSE) to support our ambition to become the leading business transformation partner of choice for our clients and to expand and scale our delivery footprint across EMEA. With access to a scaled, diverse, highly skilled, motivated, and engaged workforce, DIH is delivering complex technical solutions for clients&rsquo; most complex business problems, across portfolios that include &lsquo;Strategy &amp; Transactions&rsquo;, &lsquo;Customer&rsquo;, &lsquo;Engineering, AI &amp; Data, &lsquo;Enterprise, Technology &amp; Performance&rsquo; and &lsquo;Cyber&rsquo;. DIH is aiming to become the destination for top talents in Egypt for a long, exciting career.
 
 
 We invest in outstanding people of diverse talents and backgrounds and empower them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. Our organization has grown in scale and diversity, providing services across the region, with our shared culture remaining the same. We aim to help clients realize their ambitions, make a positive difference in society, and maximize the success of our people. This drive fuels the commitment and humanity that run deep through our every action.
 
 
 
 Connect to your opportunity
 
 
 
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 Identify and solve complex problems using a structured and logical approach.
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 Stay up to date on the latest data engineering technologies and trends.
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 Work with other engineering teams to integrate data engineering solutions with other systems.
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 Maintain and optimize data systems to ensure high availability and performance.
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 Design and implement data pipelines to collect, transform, and load data into data warehouses and data lakes.
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 Gather requirements from stakeholders and translate them into technical specifications.
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 Lead a team of data engineers in the design, development, and implementation of data engineering solutions.
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 Manage functional and non-functional requirements and have a deep understanding of systems engineering methodologies.
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 Build and maintain positive relationships with stakeholders, and to effectively communicate technical concepts to non-technical audiences.
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 Manage multiple projects simultaneously in a highly organized and efficient manner.
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 Think creatively and come up with new solutions to problems.
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 Communicate effectively with technical and non-technical audiences, both verbally and in writing.
 
 
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 Technical Skills
 
 
 
 
 Connect to your skills and professional experience
 
 
 
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 7+ years of relevant experience.
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 Cloud computing platforms: AWS/Azure/GCP
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 Programming languages: Python/Java/Scala &amp; Unix Shell scripting
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 Data warehouse technologies: Redshift/Snowflake/Big Query
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 Data lake technologies: Hadoop, Apache Beam, Spark, and Hive
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 Orchestration: Airflow/Control-M/(Any Orchestration tool)
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 Machine learning frameworks: TensorFlow, PyTorch, and scikit-learn
 
 
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 Connect to your service line - Technology &amp; Transformation
 
 
 
 Distinctive thinking, deep expertise, and collaborative working. That&rsquo;s what connects us. That&rsquo;s what makes us Deloitte. If you want to help solve some of the biggest challenges around, join us. Together, we&rsquo;ll make an impact that matters.
 
 
 
 Personal independence
 
 
 
 Regulation and controls are standard practice in our industry and Deloitte is no exception. These controls provide important legal protection for both you and the firm. We are subject to several audit regulations, one of which requires that certain colleagues abide by specific personal independence constraints. This can mean that you and your "Immediate Family Members" are not permitted to hold certain financial interests (shares, funds, bonds etc.) with audit clients of the firm. The recruitment team will provide further detail as you progress through the recruitment process.
 
 
 
 Connect to your Industry
 
 
 
 &ldquo;What attracted me to Deloitte were the endless opportunities and the collective experience of other like-minded individuals. Deloitte&rsquo;s clients include many of the world&rsquo;s largest organisations; I wanted to be part of a team that made a difference that I could be proud of.&rdquo;
 
 
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 Dan, Technology and Transformation
 
 
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 Our commitment to you
 
 
 
 Making an impact is more than just what we do: it&rsquo;s why we&rsquo;re here. So we work hard to create an environment where you can experience a purpose you believe in, the freedom to be you, and the capacity to go further than ever before.
 
 
 We want you. The true you. Your own strengths, perspective, and personality. So, we&rsquo;re nurturing a culture where everyone belongs, feels supported and heard, and is empowered to make a valuable, personal contribution. You can be sure we&rsquo;ll take your wellbeing seriously, too. Because it&rsquo;s only when you&rsquo;re comfortable and at your best that you can make the kind of impact you, and we, live for.
 
 
 Your expertise is our capability, so we&rsquo;ll make sure it never stops growing. Whether it&rsquo;s from the complex work you do, or the people you collaborate with, you&rsquo;ll learn every day. Through world-class development, you&rsquo;ll gain invaluable technical and personal skills. Whatever your level, you&rsquo;ll learn how to lead.
 
 
 
 Connect to your next step
 
 
 
 A career at Deloitte is an opportunity to develop in any direction you choose. Join us and you&rsquo;ll experience a purpose you can believe in and an impact you can see. You&rsquo;ll be free to bring your true self to work every day. And you&rsquo;ll never stop growing, whatever your level.
 
 
</div>

Deloitte Innovation Hub I Data Engineering Tech Lead, Cairo, Egypt

Accenture

<div>
 As an Oracle Data Conversion Lead at Accenture, you will be at the forefront of designing, developing, and maintaining advanced data solutions to support data generation, collection, and processing. Your role will involve creating and optimizing data pipelines, ensuring data quality, and implementing ETL processes to enable seamless data migration and deployment across systems.
 
 
 In this position, you will act as a subject matter expert, leading and managing teams to deliver high-quality results. You will be responsible for driving team decisions, collaborating with multiple stakeholders, and contributing to strategic initiatives. Your expertise will be instrumental in solving complex challenges for your immediate team and across various teams.
 
 
 
 Key Responsibilities:
 
 
 
 
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 Design and implement innovative data solutions to enhance operational efficiency and scalability.
 
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 Develop and optimize data pipelines to ensure high performance, reliability, and data quality.
 
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 Lead ETL processes for seamless data migration and deployment across systems.
 
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 Collaborate with cross-functional teams to identify and implement data-driven strategies that align with business objectives.
 
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 Conduct regular assessments of data quality and implement necessary improvements to maintain high standards.
 
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 Stay updated with industry trends, emerging technologies, and best practices to continuously improve data engineering practices.
 
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 Mentor and guide team members, fostering a culture of collaboration and continuous learning.
 
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 Master proficiency in Oracle Data Integrator (ODI).
 
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 Expert proficiency in Data Migrations, Data Access, Data Engineering, Data Pipelines, and Data Processing.
 
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 Strong leadership and collaboration skills to manage teams and engage with multiple stakeholders effectively.
 
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 Excellent problem-solving abilities to deliver innovative solutions across diverse teams and projects.
 
 
 
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</div>

Oracle Data Conversion lead- Associate Manager

<div>
 
 Overview:
 
 
 
 As an Oracle Data Conversion Lead at Accenture, you will play a pivotal role in designing, developing, and maintaining robust data solutions to support data generation, collection, and processing. Your responsibilities will include creating and optimizing data pipelines, ensuring data quality, and implementing ETL processes to facilitate seamless data migration and deployment across systems.
 
 
 You will act as a subject matter expert in Oracle Data Integrator (ODI) and Data Migrations, leveraging your expertise to guide and manage teams effectively. You will be responsible for driving team decisions, collaborating with multiple teams, and contributing to strategic initiatives while delivering innovative solutions to complex challenges.
 
 
 
 Key Responsibilities:
 
 
 
 
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 Lead the design and implementation of data solutions that enhance operational efficiency and scalability.
 
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 Collaborate with cross-functional teams to identify data requirements and deliver effective solutions.
 
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 Develop and optimize data pipelines to ensure performance, reliability, and scalability.
 
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 Conduct regular assessments of data quality and implement improvements to maintain high standards.
 
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 Stay abreast of industry trends, emerging technologies, and best practices in data engineering and Oracle Data Integration.
 
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 Provide mentorship and guidance to team members, fostering a culture of collaboration and continuous improvement.
 
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 Master proficiency in Oracle Data Integrator (ODI).
 
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 Expert proficiency in Data Migrations, Data Engineering, Data Pipelines, and Data Processing.
 
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 Strong problem-solving skills with the ability to provide solutions across multiple teams.
 
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 Excellent communication and leadership skills to manage and collaborate effectively with diverse teams.
 
 
 
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</div>

Oracle Data Conversion Lead - Associate Manager

Orange Business

<div>
 
 About Us
 
 
 
 Join us at Orange Business!
 
 
 We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
 
 
 Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
 
 
 
 About The Role
 
 
 
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 Lead the future of AI platforms &mdash; your mission, should you choose to accept it!
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 Lead and coordinate technical teams working on Data Ops, AI Ops, and platform development to ensure delivery of high-quality solutions.
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 Drive the adoption and integration of Generative AI and Generative BI technologies within the platforms.
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 Collaborate closely with cross-functional teams, including product owners, data scientists, and engineers, to align technical initiatives with business goals.
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 Ensure operational excellence, scalability, and security of data and AI platforms.
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 Mentor and develop team members to foster technical expertise and innovation
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 Occasional missions and project examples
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 Leading the deployment of a new Generative AI platform for business intelligence.
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 Driving innovation workshops on GenAI and GenBI technologies.
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 Coordinating with international partners on platform scalability and security.
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 Skills you will develop This role offers you the opportunity to deepen your expertise in cutting-edge Data Ops and AI Ops practices, while leading highly strategic initiatives in Generative AI and BI technologies that are critical to the company&rsquo;s future. You will enhance your leadership capabilities by managing cross-functional teams and driving complex, high-impact projects in a fast-paced, innovative environment.
 
 
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 About You
 
 
 
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 Your hard skills
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 Strong expertise in Data Ops and AI Ops methodologies and tools.
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 Deep knowledge of Generative AI and Generative BI technologies.
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 Experience with scalable platform architecture and cloud technologies.
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 Proficiency in data engineering, data pipelines, and orchestration tools.
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 Familiarity with security and compliance standards in data and AI environments.
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 Your soft skills You demonstrate strong leadership and communication skills, enabling you to inspire and guide diverse technical teams. Your strategic mindset and problem-solving abilities help you navigate complex challenges with agility. You are experienced in SAFe and agile methodologies, fostering a collaborative environment that encourages continuous learning and innovation.
 
 
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 You bring open mindedness, ability to handle pressure, leading with courage and empathy, assertiveness and communicate effectively.
 
 
 
 What We Offer
 
 
 
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 Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
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 Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
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 Professional Development: training programs and upskilling/re-skilling opportunities.
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 Career Growth: Internal growth and mobility opportunities within Orange.
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 Caring and Daring Culture: Health and well-being programs and benefits, diversity &amp; inclusion initiatives, CSR and employee connect events.
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 Reward Programs: Employee Referral Program, Change Maker Awards.
 
 
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 Only Your Skills Matter
 
 
 
 Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neurotype, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.
</div>

Senior Operational Manager - Data & AI Platforms

EVA pharma

<div>
 
 Join EVA Pharma, a leading pharmaceutical company dedicated to empowering the fight for&nbsp;Health and well-being as a fundamental human right. Recognized and certified as a best place to work, we are committed to fostering a supportive and innovative environment for&nbsp;our team members.
 
 
 
 Job Summary:
 
 
 We are seeking a passionate and talented
 
 Data Engineer Senior Lead
 
 to join our dynamic team. The&nbsp;ideal candidate will contribute to our mission of enhancing human health and well-being,&nbsp;ensuring that we meet the highest standards of excellence in our industry.
 
 
 
 
 Key Responsibilities:
 
 
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 Design, develop, and maintain reliable ETL/ELT pipelines that move data from multiple sources into cloud-based warehouses such as Snowflake, BigQuery, or Databricks. Ensure real-time or near-real-time data processing for analytics dashboards and operational systems. Continuously fine-tune performance to handle growing data volumes efficiently
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 Implement automated validation checks, anomaly detection, and alerting systems to maintain high data accuracy. Ensure all pipelines comply with data privacy and security standards (e.g., GDPR, SOC 2). Maintain clear documentation and data lineage to support audits and cross-team visibility
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 Evaluate and introduce new tools like Airflow, dbt, Kafka, or Spark to improve efficiency and scalability. Collaborate with AI/ML teams to enable deployment and integration of advanced models
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 Develop best practices for data modeling, storage optimization, and version control. Align data structures with key business metrics and analytics use cases to ensure consistency across departments
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 Conduct design reviews, ensure high-quality code, and promote a collaborative culture focused on innovation and continuous improvement. Also, Mentor and coach data engineers to enhance their technical skills and improve project execution
 
 
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 Requirements
 
 
 
 
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 Bachelor's degree in Data Science, Computer Science, Statistics, or a related field
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 7-10 years of experience in data engineering or related fields, with at least 2 years in a leadership role
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 Proven ability to design, build, and optimize scalable ETL/ELT pipelines and data workflows for analytics and operational use
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 Strong skills in SQL and Python, with hands-on experience in cloud-based data platforms and distributed systems
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 Deep understanding of data modeling, data warehousing, orchestration tools (e.g., Airflow, Prefect), and big data technologies such as Spark and Databricks
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 Solid grasp of data governance, privacy, and security best practices, combined with strong problem-solving, architectural design, and cross-functional collaboration abilities
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</div>

Senior Data Engineer Lead

Valeo

<div>
 Responsibilities Cross-Disciplinary Automation
 
 :
 
 Design and implement AI workflows that bridge the gap between Systems Engineering and downstream disciplines (HW, SW, Mech) to ensure seamless requirements traceability and consistency.
 
 
 Physics-Informed Modeling: Develop and deploy Physics-Informed Machine Learning (PIML) models to accelerate simulations in Mechanics and Electrotechnique.
 
 
 
 AI-Enhanced System Engineering
 
 : Integrate AI-assisted coding, automated unit testing, and bug prediction tools into the software development pipeline in compliance with ASPICE standards.
 
 
 
 Predictive Project Management
 
 : Build predictive analytics dashboards for Technical Project Managers to forecast resource bottlenecks, budget risks, and milestone delays using historical project data.
 
 
 
 Standards &amp; Compliance:
 
 Ensure all AI-automated processes and generated outputs adhere to ISO 26262 (Functional Safety) and ISO/SAE 21434 (Cybersecurity) requirements.
 
 
 
 Toolchain Integration
 
 : Lead the integration of AI agents with existing toolchains, including PLM, ALM (Codebeamer), and MATLAB/Simulink.
 
 
 Key competencies
 
 Technical Skills
 
 
 
 AI and Machine Learning
 
 
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 Generative AI &amp; LLMs
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 Predictive Modeling
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 Computer Vision
 
 
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 Data Engineering and Management
 
 
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 Data Pipeline Construction: Automating the flow of data into AI models.
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 Data Quality Assurance: Cleaning and labeling datasets to ensure the AI isn't learning from "noise."
 
 
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 Process Automation &amp; Integration (MLOps)
 
 
 
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 Workflow Orchestration: Using tools to connect AI outputs to other R&amp;D software (like ELNs or LIMS).
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 Deployment: Ensuring the AI tools are accessible via user-friendly interfaces.
 
 
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 Programming &amp; Scripting
 
 
 
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 Python
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 Javascript / Google Apps Script
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 Google Docs / Sheets functions &amp; automation
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 HTTP rest API's
 
 
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 Tooling &amp; ALM: ( Plus Knowledge)
 
 
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 Codebeamer (Requirement Management Tool)
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 Google Cloud Platform
 
 
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 Automation &amp; Integration concepts
 
 
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 AI &amp; Data Handling:
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 Basic to intermediate experience with AI tools, APIs, or AI agents
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 Interest in applying AI to engineering processes
 
 
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 Soft Skills
 
 
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 Strong communication and collaboration skills, including ability to translate technical AI capabilities into tangible benefits for the teams
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 Ability to work autonomously and proactively
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 Analytical mindset with strong problem-solving skills
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 User-oriented mindset (training, support, feedback handling)
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 Time Managment
 
 
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 Nice to Have
 
 
 Experience with requirement traceability or compliance activities
 
 
 Exposure to AI-assisted automation or low-code/no-code platforms
 
 
 Physics-Informed Machine Learning (PIML)
 
 
 Predictive Project Analytics
 
 
 Understanding of system engineering lifecycle and deliverables
 
 
 
 Aware About Automotive Industry And Embedded Systems.
 
 
 
 Years of Experience 2 to 3 years experience in AI &amp; tools development
</div>

AI & Automation Engineer, LIGHT

Finaira

<div>
 The Principal AI Engineer provides technical leadership and direction for a team of AI Engineer, overseeing the end-to-end development and deployment of significant AI initiatives. This role involves driving technical strategy, setting best practices, mentoring team members, and ensuring the delivery of high-quality, impactful AI solutions that align with business objectives.
 
 
 
 Focus:
 
 End-to-End Initiative Leadership, AI/ML Strategy &amp; Mentorship
 
 
 
 The difference you will make:
 
 
 
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 Provide technical leadership, guidance, and mentorship to a team of AI Engineer
 </li>
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 Architect, design, and oversee the implementation of complex AI/ML systems and platforms from conception to production
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 Drive the technical roadmap for AI projects, translating business requirements into technical specifications and actionable plans
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 Champion best practices in AI/ML engineering, MLOps, software development, code quality, and testing
 </li>
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 Lead technical discussions, architectural reviews, and problem-solving sessions within the team and across departments
 </li>
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 Collaborate closely with product management, data science, and other engineering teams to define project scope, technical feasibility, and resource allocation
 </li>
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 Identify and evaluate new technologies, tools, and methodologies to enhance the team's capabilities and efficiency
 </li>
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 Conduct performance evaluations and provide constructive feedback to team members, contributing to their professional growth
 </li>
 <li>
 Act as a primary technical point of contact for stakeholders regarding AI solutions
 </li>
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 Hands-on contribution to critical code components, architectural design, and complex problem-solving
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 What you will bring to the role:
 
 
 
 
 Education:
 
 
 
 <ul>
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 Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. Master's degree or Ph.D. highly preferred
 
 
 </li>
 </ul>
 
 Experience:
 
 
 
 <ul>
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 8+ years of extensive experience in AI/ML engineering, with at least 2-3 years in a technical leadership or lead engineer role, successfully leading significant AI projects from end-to-end
 
 
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 </ul>
 
 Technical Skills:
 
 
 
 <ul>
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 Expert proficiency in Python and deep expertise in multiple AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras)
 </li>
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 Demonstrated experience in designing and implementing large-scale, production-grade AI systems, including distributed training and serving
 </li>
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 In-depth knowledge and practical experience with MLOps principles, tools, and platforms (e.g., Kubeflow, MLflow, Airflow, Docker, Kubernetes)
 </li>
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 Strong architectural skills for building robust, scalable, and maintainable AI infrastructures
 </li>
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 Proficiency in cloud environments (AWS, Azure, GCP) and their AI/ML services
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 Excellent understanding of data engineering principles, data governance, and database technologies
 </li>
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 Ability to evaluate and make sound technical decisions on complex trade-offs
 
 
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 </ul>
 
 Soft Skills:
 
 
 
 <ul>
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 Exceptional leadership, communication, and presentation skills, with the ability to influence and persuade stakeholders at all levels, including executive leadership
 </li>
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 Proven ability to think strategically and translate complex business challenges into innovative and impactful data science initiatives
 </li>
 <li>
 Strong mentoring and coaching skills, with a passion for developing the talents of junior team members
 </li>
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 Excellent collaboration and negotiation skills, with the ability to work effectively across diverse, cross-functional teams and build strong relationships
 
 
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 </ul>
 Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.
</div>

Principal AI Engineer

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