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junior/standard software engineer, power

senior 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

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:
 
 
 <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-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'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>

Senior Data Engineer Lead

SDG Group Middle East

<div>
 
 SDG Group is expanding its global Data &amp; Analytics practice and is seeking a motivated
 
 Data Analytics Engineer
 
 with 3 to 6 years
 
 of experience
 
 in DataOps. The ideal candidate has strong hands-on experience with either
 
 Databricks or Snowflake
 
 , alongside solid understanding of modern cloud data platforms and best practices in data engineering.
 
 
 This role offers a
 
 full-time employment contract in USD
 
 , allowing remote work on
 
 international projects
 
 aligned with the
 
 European working week (Monday to Friday).
 
 
 
 
 
 
 
 
 
 
 
 
 Key Responsibiliti
 
 
 <ul>
 <li>
 esDesign, build, and maintain scalable and reliable data pipelines following DataOps best practic
 </li>
 <li>
 esWork with modern cloud data stacks usin
 
 g Databric
 
 ks (Spark, Delta Lake) o
 
 r Snowfla
 
 ke (Snow pipe, tasks, stream
 </li>
 <li>
 s)Develop and optimize ETL/ELT workflows using Python, SQL, and orchestration too
 </li>
 <li>
 lsWork with Azure data services (ADF, ADLS, Azure SQL, Azure Function
 </li>
 <li>
 s)Implement CI/CD practices using Azure DevOps or Git-based workflo
 </li>
 <li>
 wsEnsure data quality, consistency, and governance across all delivered data solutio
 </li>
 <li>
 nsMonitor and troubleshoot pipelines for performance and operational excellen
 </li>
 <li>
 ceCollaborate with international teams, architects, and analytics consultan
 </li>
 <li>
 tsContribute to technical documentation and solution design asse
 </li>
 </ul>
 
 
 
 
 
 ts
 
 Required Skills &amp; Qualificati
 
 
 <ul>
 <li>
 onsBachelor&rsquo;s degree in computer science, Engineering, Information Systems, or related fi
 </li>
 <li>
 e
 
 ldHands-on experie
 
 nce in DataOps / Data Engineer
 </li>
 <li>
 ingStrong knowledge
 
 in Databricks OR Snowfl
 
 ake (one of them is mandato
 </li>
 <li>
 ry)Proficiency
 
 in Python and
 
 </li>
 <li>
 SQLExperience wi
 
 th Az
 
 ure data ecosystem (ADF, ADLS, Synapse, et
 </li>
 <li>
 c.)Understanding of CI/CD practices and DevOps for da
 </li>
 <li>
 ta.Knowledge of data modeling, orchestration frameworks, and monitoring to
 </li>
 <li>
 olsStrong analytical and troubleshooting ski
 </li>
 <li>
 llsEagerness to learn and grow in a global consulting environm
 </li>
 </ul>
 
 
 entNice to H
 
 
 <ul>
 <li>
 aveExperience with Delta Live Tables, Unity Catalog, or Lakehouse conce
 </li>
 <li>
 ptsKnowledge of BI tools (Power BI, Qli
 </li>
 <li>
 ck)Exposure to Agile / Scrum framewo
 </li>
 <li>
 rksRelevant certifications (Azure Data Engineer, Databricks, Snowfla
 </li>
 </ul>
 
 
 
 
 
 ke)
 
 What We O
 
 
 <ul>
 <li>
 fferRemote working model aligned with international project n
 </li>
 <li>
 eedsFull-time employment contract wit
 
 h a USD-based compensation pac
 
 </li>
 <li>
 kageOpportunity to work on European and global engagem
 </li>
 <li>
 entsMentorship and growth paths within SDG G
 </li>
 <li>
 roupA dynamic, innovative, and collaborative environ
 </li>
 <li>
 mentAccess to world-class training and learning platf
 </li>
 </ul>
 
 
 
 orms
</div>

Senior Data Analytics Engineer

sonnen Egypt

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 4758
 
 
 Join the energy revolution with #teamsonnen!
 
 
 At sonnen, we&rsquo;re driven by a clear goal: creating a future powered by clean, affordable energy for everyone. That&rsquo;s why we make our customers independent &ndash; not only from fossil fuels, but also from rising electricity costs.
 
 
 The key to this independence is our intelligent, all-in-one energy system. It combines solar panels, battery storage, energy tariffs, and wallboxes &ndash; all developed and manufactured in Germany.
 
 
 As the first and only provider in Germany, we also connect thousands of home batteries into one shared network: the sonnenVPP, our industry-leading virtual power plant.
 
 
 In short: every day, we&rsquo;re working to shape the energy future. And we&rsquo;d be thrilled to have you join us!
 
 
 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:
 
 Computer Science, Data Warehouse, Business Intelligence, Quality Assurance, Project Manager, Technology
</div>

Data Engineer (m/f/d)

Procore Technologies

<div>
 
 Job Ad
 
 
 
 We're looking for a
 
 Senior Software Engineer - Data
 
 to join the Graph &amp; Insights team within Procore's Construction Intelligence division. In this role, you'll build and scale the data platform that transforms construction project data into connected, queryable knowledge &mdash; enabling teams across Procore to surface insights, identify risks, and make smarter decisions.
 
 
 As a
 
 Senior Software Engineer - Data
 
 , you&rsquo;ll partner with other engineers, data scientists, and product managers across Product &amp; Technology to design and evolve the data architectures that power our "Helix AI" ecosystem. A core part of this role is focusing on
 
 data modeling, graph-based relationships, and high-throughput processing
 
 , ensuring that our construction intelligence tools are both performant and deeply insightful.
 
 
 This position reports to the Engineering Manager for Construction Intelligence and will be based in our
 
 Cairo office
 
 . We&rsquo;re looking for someone to join us immediately.
 
 
 What you&rsquo;ll do:
 
 
 <ul>
 <li>
 Create scalable data pipelines and microservices using a variety of technologies such as Java, Flink, Kafka, and Airflow.
 </li>
 <li>
 Participate in designing and building systems that are aligned with Procore&rsquo;s technical vision of a service-oriented architecture.
 </li>
 <li>
 Design and maintain graph data models and relationship-based architectures to provide a unified view of construction data.
 </li>
 <li>
 Work up and down the stack to ship code for our microservices and Flink jobs, and dive deep into the database layer to handle complex relational and graph querying needs.
 </li>
 <li>
 Implement and maintain algorithms and techniques to reduce data redundancy.
 </li>
 <li>
 Work in building applications using LLMs and GAIs.
 </li>
 <li>
 Monitor, analyze, and optimize the performance of our data pipelines and graph platforms.
 </li>
 <li>
 Maintain and evolve our data platforms to have clear domain boundaries and a coherent public interface, in alignment with Procore's technical vision.
 </li>
 <li>
 Mentor junior engineers within the team, providing guidance and support.
 </li>
 <li>
 Work with other engineers and stakeholders to ensure the success of our platforms.
 </li>
 <li>
 Collaborate with Engineering, Product, and UX to design and build solutions that delight users and solve critical business problems.
 
 
 </li>
 </ul>
 What we&rsquo;re looking for:
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Engineering, or a related field.
 </li>
 <li>
 5+ years of experience in Object Oriented Programming fundamentals, Test Driven Development, and Design principles.
 </li>
 <li>
 Strong experience building and optimizing data pipelines, architectures, and datasets, with a focus on both real-time streaming and batch processing using Spark or Flink.
 </li>
 <li>
 Professional experience working with Graph Technologies (such as Neo4j or similar) and writing optimized relationship-based queries.
 </li>
 <li>
 Strong understanding of software and data engineering principles and practices.
 </li>
 <li>
 Experience with a variety of data technologies, including Apache Flink, Apache Kafka, GraphQL, REST APIs, DynamoDB, Elastic Search, MongoDB, and Graph Databases.
 </li>
 <li>
 Experience with running services on Kubernetes and familiarity with Helm charts and Terraform.
 </li>
 <li>
 Experience in cloud environments like AWS, GCP, or Azure.
 </li>
 <li>
 Experience with data deduplication algorithms and techniques.
 </li>
 <li>
 Experience with deploying machine learning and statistical modeling.
 </li>
 <li>
 Excellent problem-solving, communication, and teamwork skills.
 </li>
 <li>
 Familiarity with Python, Java, and PHP for general scripting and software development.
 </li>
 <li>
 Experience with using Large Language Models for building applications is a plus.
 </li>
 </ul>
</div>

Senior Software Engineer - Data

almentor

<div>
 
 
 About almentor
 
 : almentor is a cutting-edge online video marketplace for e-learning and professional business development throughout the Middle East and Africa. Offering video courses in Arabic and English, we curate top-rated training programs of expert-created content and guided curriculum with interactive delivery.
 
 
 
 
 
 
 Our Mission:
 
 🚀 almentor is on a mission to increase accessibility to affordable quality education for Arabic-speaking communities and a Goal to serve 10 million learners in MENA
 
 
 
 
 
 
 Job Overview:
 
 
 
 Reporting to the Head of Engineering, your role is to design, build, and operate the data and applied AI foundations that power intelligent learning experiences and business workflows. You will ship production- grade pipelines, retrieval/search systems, and LLM-enabled features that are measurable, secure, and reliable.
 
 
 
 
 
 We are committed to building software that is not only functional and reliable, but also beautiful and intuitive. Our engineers and designers work together to create products that are a joy to use, and that solve real-world problems in innovative ways. We believe in the Agile and XP methodologies, and we prioritize collaboration, communication, and continuous improvement in everything we do.
 
 
 
 
 
 We are embarking on an exciting journey of rebuilding our product and engineering organization to drive innovation and growth. Our goal is to create a world-class platform that delivers the best possible learning experiences to our users.
 
 
 Share the journey along with engineers, product managers, and leaders from the most successful organizations in the region.
 
 
 
 
 
 
 As a Senior Data / AI Engineer, your'll spend your time on:
 
 
 <ul>
 <li>
 Blending data engineering, applied AI implementation, and operational ownership.
 </li>
 <li>
 Architect, implement, and maintain pipelines that ingest, transform, and serve data for product features, analytics, and AI workflows.
 </li>
 <li>
 Build indexing and retrieval layers (structured + unstructured) to power search, recommendations, and AI assistants (RAG).
 </li>
 <li>
 Implement LLM-powered features: prompt orchestration, tool/function calling, RAG patterns, structured extraction, summarization.
 </li>
 <li>
 Add guardrails: policy checks, rate limits, cost controls, and safe handling of sensitive data.
 </li>
 <li>
 Create evaluation harnesses and regression tests for retrieval of quality and AI outputs (offline datasets + automated checks).
 </li>
 <li>
 Instrument pipelines/services with logging, tracing, metrics, and data quality monitoring.
 </li>
 <li>
 Partner closely with product managers, designers, and engineers to translate user needs into measurable data/AI capabilities.
 </li>
 <li>
 Participate in sprint planning, refinement, and cross-team alignment to keep execution predictable.
 </li>
 <li>
 Own your pipelines and services in production &mdash; incident response, post-mortems, runbooks, and continuous improvement.
 </li>
 <li>
 Optimize latency, cost, and throughput across data processing, indexing, and AI inference usage.
 </li>
 <li>
 A typical day might look like: checking pipeline freshness and alerts in the morning, tuning chunking/index mappings for a new course search mid-day, pairing with product on evaluation metrics for an AI study
 </li>
 <li>
 Assistant in the afternoon, and ending the day by shipping a monitored RAG endpoint with cost budgets and regression tests.
 </li>
 </ul>
 
 
 Role Objectives
 
 
 <ul>
 <li>
 Design, oversee, build and operate data pipelines and applied AI systems that power our education platform across consumer and business customer segments.
 </li>
 <li>
 Build and scale retrieval and search foundations (hybrid search, metadata filtering, vector retrieval) that enable AI experiences.
 </li>
 <li>
 Deliver production LLM capabilities with measurable quality, cost controls, and safety guardrails.
 </li>
 <li>
 Improve system performance, reliability, observability, and maintainability through proactive monitoring and data quality checks.
 </li>
 <li>
 Collaborate closely with stakeholders (product managers, designers, frontend/mobile engineers) to translate business requirements into technical solutions.
 </li>
 <li>
 Contribute to sprint planning, technical documentation, and cross-team initiatives as a senior engineering voice.
 </li>
 <li>
 Contributing to sprint planning, technical documentation, and cross-team initiatives as a senior voice in the engineering org.
 </li>
 </ul>
 
 
 
 
 
 The ideal candidate will have:
 
 
 <ul>
 <li>
 4+ years of experience in data engineering, backend engineering, or platform engineering, with meaningful production ownership.
 </li>
 <li>
 Strong SQL and data modeling skills; experience designing schemas and data contracts.
 </li>
 <li>
 Experience building and operating pipelines (batch and/or streaming), including backfills and data quality validation.
 </li>
 <li>
 Experience with search/indexing systems and retrieval patterns (e.g., OpenSearch/Elasticsearch, vector DBs, hybrid search).
 </li>
 <li>
 Hands-on experience implementing LLM-powered features (RAG, tool/function calling, prompt/version management) &mdash; no deep ML required.
 </li>
 <li>
 Familiarity with CI/CD, containerization (Docker), and cloud services (ex. AWS, GCP).
 </li>
 <li>
 Strong problem-solving and debugging skills, with a proactive attitude towards owning and improving systems.
 </li>
 <li>
 Strong written and verbal communication skills, with the ability to explain complex ideas clearly to technical and non-technical stakeholders.
 </li>
 <li>
 Bachelor&rsquo;s degree in computer science, Engineering, or a related field is preferred but not required
 </li>
 </ul>
</div>

Senior Data & Applied AI Engineer

Integrant, Inc.

<div>
 
 We're on the lookout for exceptional individuals to join our team as
 
 Principal Data Engineers
 
 . As a part of our team, you'll be driving change and making a significant impact in the gaming industry.
 
 <ul>
 <li>
 Lead the design, development, and maintenance of end-to-end data analytical solutions using Microsoft on-premises and cloud technologies.
 </li>
 <li>
 Engage in collaborative requirement elicitation activities with our valued clientele.
 </li>
 <li>
 Mentor and guide junior team members in the field of data engineering.
 </li>
 <li>
 Showcase your expertise by delivering innovative analytical solutions to our clients and contributing to knowledge transfer within the organization.
 </li>
 
 
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 6+ years of experience as a data engineer.
 </li>
 <li>
 Familiarity with analytical architectures including Data Warehouses, Data Lakes and Data Lakehouses.
 </li>
 <li>
 Knowledge of Microsoft relational engines available - both on-premises (MS SQL Server) and on the cloud (Azure SQL, Azure Synapse Analytics Dedicated Pools).
 </li>
 <li>
 Knowledge of query and workload optimization.
 </li>
 <li>
 Knowledge of administrating and managing analytical solutions both on premises and on the cloud.
 </li>
 <li>
 Knowledge of NoSQL offerings on Azure (e.g. CosmosDB).
 </li>
 <li>
 Knowledge of setting up Data Lakes on ADLS gen 2 and Azure Synapse Analytics.
 </li>
 <li>
 Knowledge of using SSIS and Azure Data Factory to set up ETL jobs.
 </li>
 <li>
 Knowledge of setting up OLAP solutions using SSAS.
 </li>
 <li>
 Familiarity with Azure Data Catalog to manage data lake metadata.
 </li>
 <li>
 Knowledge of governance over Azure based analytical solutions including using tools such as Purview, Active Directory, Key Vault, Azure DevOps, etc.
 </li>
 <li>
 Knowledge of using Azure Stream Analytics to capture and analyze data in real time.
 </li>
 <li>
 Knowledge of setting up data warehouse solutions both on-premises (using MS SQL Server) and on the cloud (using Azure Synapse Analytics).
 </li>
 <li>
 Knowledge of Dimensional Modeling (Dimensions, Facts, Slowly Changing Dimensions, Outriggers, Role Playing Dimensions, Junk Dimensions, Degenerate Dimensions, Multi-valued Dimensions, Transactional Facts, Periodic Snapshot Facts and Accumulating Snapshot Facts).
 </li>
 <li>
 Knowledge of implementing common ETL patterns to support data warehouse workloads.
 </li>
 <li>
 Knowledge of using U-SQL, PolyBase and Azure Data Lake Analytics to perform federated querying.
 </li>
 <li>
 Knowledge of PowerBI.
 </li>
 <li>
 Familiarity with SSRS.
 </li>
 <li>
 
 Snowflake Experience:
 
 Experience with Snowflake is required.
 </li>
 </ul>
 
 Nice to Have:
 
 <ul>
 <li>
 An MSc in Computer Science or other relevant field.
 </li>
 <li>
 Familiarity with Azure Databricks.
 </li>
 <li>
 Familiarity with DataOps
 </li>
 <li>
 Familiarity with Azure Cognitive Services.
 </li>
 <li>
 Familiarity with Azure ML.
 </li>
 <li>
 Familiarity with MLOps.
 </li>
 <li>
 Familiarity of containerization tools and frameworks (Docker, Kubernetes, etc.)
 </li>
 <li>
 Familiarity with Azure HD Insight.
 </li>
 <li>
 Familiarity with the Hadoop ecosystems, including tools like Hive, Spark and Kafka.
 </li>
 <li>
 Familiarity with Azure Functions to perform lightweight transformations.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Salary paid in USD
 </li>
 <li>
 Six-month career advancing opportunities
 </li>
 <li>
 Supportive and friendly work environment
 </li>
 <li>
 Premium medical insurance [employee +family]
 </li>
 <li>
 English language development courses
 </li>
 <li>
 Interest-free loans paid over 2.5 years
 </li>
 <li>
 Technical development courses
 </li>
 <li>
 Planned overtime program (POP)
 </li>
 <li>
 Employment referral program
 </li>
 <li>
 Premium location in Maadi
 </li>
 <li>
 Social insurance
 </li>
 </ul>
</div>

Principal Data Engineer

Explore 460+ Senior data engineer in Cairo this April. Find roles across top companies and apply now to boost your career.