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senior data science engineer

Envision Employment Solutions

Envision Employment Solutions is currently hiring a Senior Data Science Engineer on behalf of one of our partners, a leader in the retail Motor Vehicles field.
 
About the Role: 
We are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions in solving pricing problems. Your primary focus will be on applying data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with our products.
 You will be someone who enjoys working in a fast-paced environment, with a hands-on attitude and a data-driven mindset, sharing fresh ideas for how to improve profitability.
 
Responsibilities: 
<ul>
<li>Use data to create new, scalable solutions for business pricing problems.</li>
<li>Design experiments, measure results and provide a point of view in decision-making.</li>
<li>Develop and implement advanced analytics and machine learning models to solve complex business problems.</li>
<li>Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business solutions.</li>
<li>Ensure the quality and integrity of data used for analysis and modeling.</li>
<li>Stay up-to-date with the latest trends and advancements in data science and machine learning.</li>
<li>Oversee the deployment of machine learning models into production environments.</li>
<li>Maintain documentation of data science processes and methodologies.</li>
</ul>
Requirements: 
<ul>
<li>4 to 5 years in a data science role</li>
<li>Strong drive to learn, experiment, and drive outcomes.</li>
<li>Strong background in statistical analysis and machine learning.</li>
<li>Proficiency in programming languages such as Python or R.</li>
<li>Experience with data visualization tools (e.g., Tableau, Power BI).</li>
<li>Experience with building custom deep learning models (using pytorch).</li>
<li>Experience with optimization, routing and task assignment problems.</li>
<li>Experience with building web API interfaces to serve Data Science model through Flask or FastAPI is a PLUS.</li>
<li>Experience with Google Big Query, and Vertex API is a plus.</li>
<li>Advanced SQL Experience, ability to query complex data correctly and efficiently.</li>
<li>Excellent knowledge of data wrangling and preprocessing techniques.</li>
<li>Strong problem-solving skills and ability to think critically.</li>
<li>Excellent communication skills, with the ability to present complex information clearly and concisely.</li>
<li>A proactive and innovative mindset, with a strong attention to detail.</li>
<li>Having an automotive background is a PLUS.</li>
</ul>

Senior Data Science Engineer

<div>
 
 
 Envision Employment Solutions
 
 is currently hiring a
 
 Senior Data Science Engineer
 
 on behalf of one of our partners, a leader in the retail Motor Vehicles field.
 
 
 
 
 
 
 About the Role:
 
 
 
 We are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions in solving pricing problems. Your primary focus will be on applying data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with our products.
 
 
 You will be someone who enjoys working in a fast-paced environment, with a hands-on attitude and a data-driven mindset, sharing fresh ideas for how to improve profitability.
 
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Use data to create new, scalable solutions for business pricing problems.
 </li>
 <li>
 Design experiments, measure results and provide a point of view in decision-making.
 </li>
 <li>
 Develop and implement advanced analytics and machine learning models to solve complex business problems.
 </li>
 <li>
 Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business solutions.
 </li>
 <li>
 Ensure the quality and integrity of data used for analysis and modeling.
 </li>
 <li>
 Stay up-to-date with the latest trends and advancements in data science and machine learning.
 </li>
 <li>
 Oversee the deployment of machine learning models into production environments.
 </li>
 <li>
 Maintain documentation of data science processes and methodologies.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 4 to 5 years in a data science role
 </li>
 <li>
 Strong drive to learn, experiment, and drive outcomes.
 </li>
 <li>
 Strong background in statistical analysis and machine learning.
 </li>
 <li>
 Proficiency in programming languages such as Python or R.
 </li>
 <li>
 Experience with data visualization tools (e.g., Tableau, Power BI).
 </li>
 <li>
 Experience with building custom deep learning models (using pytorch).
 </li>
 <li>
 Experience with optimization, routing and task assignment problems.
 </li>
 <li>
 Experience with building web API interfaces to serve Data Science model through Flask or FastAPI is a
 
 PLUS
 
 .
 </li>
 <li>
 Experience with Google Big Query, and Vertex API is a plus.
 </li>
 <li>
 Advanced SQL Experience, ability to query complex data correctly and efficiently.
 </li>
 <li>
 Excellent knowledge of data wrangling and preprocessing techniques.
 </li>
 <li>
 Strong problem-solving skills and ability to think critically.
 </li>
 <li>
 Excellent communication skills, with the ability to present complex information clearly and concisely.
 </li>
 <li>
 A proactive and innovative mindset, with a strong attention to detail.
 </li>
 <li>
 Having an automotive background is a
 
 PLUS
 
 .
 </li>
 </ul>
</div>

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

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)

PwC Middle East

<div>
 
 Line of Service
 
 
 
 Advisory
 
 
 
 Industry/Sector
 
 
 
 Technology
 
 
 
 Specialism
 
 
 
 Advisory - Other
 
 
 
 Management Level
 
 
 
 Senior Associate
 
 
 
 Job Description &amp; Summary
 
 
 
 At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
 
 
 
 Responsibilities
 
 
 
 In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
 
 We are seeking a highly skilled and analytical
 
 Business Intelligence (BI) Engineer
 
 with strong expertise in
 
 Power BI
 
 to join our growing data team. The ideal candidate will be responsible for designing, developing, and maintaining scalable BI solutions that transform raw data into actionable insights to support strategic decision-making across the organization.
 
 
 
 Key Responsibilities:
 
 
 
 
 <ul>
 <li>
 Design, develop, and deploy interactive dashboards and reports using Power BI.
 </li>
 <li>
 Translate business needs into technical specifications and maintain robust BI solutions.
 </li>
 <li>
 Integrate data from multiple sources (e.g., SQL databases, APIs, Excel, cloud platforms).
 </li>
 <li>
 Develop and optimize DAX queries and data models for performance and usability.
 </li>
 <li>
 Collaborate with business stakeholders to understand reporting requirements.
 </li>
 <li>
 Implement and maintain data security and governance standards within Power BI.
 </li>
 <li>
 Monitor BI tools performance and troubleshoot technical issues as needed.
 </li>
 <li>
 Work closely with data engineers, analysts, and product teams to ensure data quality and integrity.
 </li>
 <li>
 Provide training and documentation for end-users and stakeholders on Power BI usage.
 
 
 </li>
 </ul>
 
 Required
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, Statistics, or a related field.
 </li>
 <li>
 1-3 years of experience in a BI Engineer, Data Analyst, or similar role.
 </li>
 <li>
 Strong proficiency in Power BI, including DAX, Power Query (M), and data modeling.
 </li>
 <li>
 Hands-on experience with SQL and relational databases, and Python or R for data analysis.
 </li>
 <li>
 Familiarity with ETL processes and data warehousing concepts.
 </li>
 <li>
 Excellent problem-solving skills and attention to detail.
 </li>
 <li>
 Strong communication skills to present insights to both technical and non-technical audiences.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Experience with Azure Data Services (e.g., Azure SQL, Data Factory).
 </li>
 <li>
 Exposure to other BI tools (e.g., Tableau, Looker) is a plus.
 </li>
 <li>
 Microsoft certifications (e.g., PL-300: Power BI Data Analyst) are a bonus.
 
 
 </li>
 </ul>
 
 Education
 
 
 (if blank, degree and/or field of study not specified)
 
 
 
 Degrees/Field of Study required:Degrees/Field of Study preferred:
 
 
 
 Certifications
 
 
 (if blank, certifications not specified)
 
 
 
 
 Required Skills
 
 
 
 
 Optional Skills
 
 
 
 Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more}
 
 
 
 Desired Languages
 
 
 (If blank, desired languages not specified)
 
 
 
 
 Travel Requirements
 
 
 
 Not Specified
 
 
 
 Available for Work Visa Sponsorship?
 
 
 
 Yes
 
 
 
 Government Clearance Required?
 
 
 
 Yes
 
 
 
 Job Posting End Date
 
</div>

ETIC, BI Engineer Senior Associate

Grand Technology

Job Overview Grand Technology is seeking an experienced and passionate Senior AI Engineer to join our dynamic team in Giza, Egypt. This is a Full-Time position for a professional who is keen to work at the forefront of digital innovation. As a subsidiary of the Mohammed Saif Thabet Group, Grand Technology has established itself since 2006 as a next-generation digital solutions company. We are committed to helping our clients design for the future by providing the latest technology and regional expertise. As a Senior AI Engineer, you will play a pivotal role in developing and implementing cutting-edge AI solutions that drive our business and our clients' success forward. You will be part of a vibrant company culture where teamwork and continuous improvement are at the core of our DNA, fostering an environment where innovation thrives. Responsibilities * Lead the design, development, and deployment of sophisticated artificial intelligence and machine learning models to solve complex business challenges. * Collaborate closely with cross-functional teams, including product managers and software developers, to identify opportunities for AI integration and to define project requirements. * Mentor junior engineers, providing technical guidance and fostering a culture of knowledge sharing and professional growth. * Manage the end-to-end lifecycle of AI projects, from data acquisition and preprocessing to model training, evaluation, and deployment in production environments. * Stay abreast of the latest advancements in AI, machine learning, and deep learning, and champion the adoption of new technologies and methodologies. * Ensure the robustness, scalability, and performance of our AI systems, conducting rigorous testing and optimisation. * Communicate complex technical concepts and project outcomes effectively to both technical and non-technical stakeholders. Qualifications * A Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field. * Proven commercial experience in a similar role, with a strong portfolio of successfully delivered AI/ML projects. * Expert proficiency in Python and extensive experience with major AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn. * A deep theoretical and practical understanding of machine learning algorithms, deep learning architectures, natural language processing (NLP), and computer vision. * Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and deploying machine learning models at scale. * Exceptional analytical and problem-solving skills, with a meticulous attention to detail. * Strong leadership qualities and excellent communication skills, with the ability to work effectively within a collaborative team environment. Benefits * A competitive salary and comprehensive benefits package. * The opportunity to work on pioneering projects that shape the future of digital solutions. * A supportive and collaborative work environment that encourages innovation and creativity. * Significant opportunities for professional development and career progression within a leading technology organisation. * A role in a results-driven organisation committed to delivering excellence for its clients and partners.

Senior AI Engineer

EVA Pharma

<div>Join EVA Pharma, a leading pharmaceutical company dedicated to empowering the fight for 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 our team members.
Job Summary:
We are seeking a passionate and talented Data Engineer Senior Lead to join our dynamic team. The ideal candidate will contribute to our mission of enhancing human health and well-being, ensuring that we meet the highest standards of excellence in our industry. 
 
Key Responsibilities:<ul>
<li>
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&ndash;real-time data processing for analytics dashboards and operational systems. Continuously fine-tune performance to handle growing data volumes efficiently.</li>
<li>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.</li>
<li>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.</li>
<li>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.</li>
<li>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.</li>
</ul>
Requirements<ul>
<li>
Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.</li>
<li>7-10 years of experience in data engineering or related fields, with at least 2 years in a leadership role.</li>
<li>Proven ability to design, build, and optimize scalable ETL/ELT pipelines and data workflows for analytics and operational use.</li>
<li>Strong skills in SQL and Python, with hands-on experience in cloud-based data platforms and distributed systems.</li>
<li>Deep understanding of data modeling, data warehousing, orchestration tools (e.g., Airflow, Prefect), and big data technologies such as Spark and Databricks.</li>
<li>Solid grasp of data governance, privacy, and security best practices, combined with strong problem-solving, architectural design, and cross-functional collaboration abilities.</li></ul></div>

Data Engineer Senior Lead

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2193 senior data science engineer jobs IN Egypt

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ETIC, BI Engineer Senior Associate

Senior AI Engineer

Data Engineer Senior Lead