analytics engineer

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
 
 
 
 <ul>
 <li>
 Translate reporting and analytics needs into scalable data models (star/snowflake), conformed dimensions, and data marts.
 </li>
 <li>
 Evolve the data warehouse architecture and schema design to support new use cases and performance goals.
 </li>
 <li>
 Build and maintain ETL/ELT pipelines in Python/SQL; orchestrate workflows and enforce data quality checks.
 </li>
 <li>
 Implement a semantic/metrics layer to support consistent KPIs and enable self-service analytics.
 </li>
 <li>
 Define and run data quality tests, anomaly detection, lineage, and documentation to improve trust in data.
 </li>
 <li>
 Integrate diverse data sources (operational systems, relational DBs, Elasticsearch, APIs, message queues).
 </li>
 <li>
 Optimize performance (partitioning, indexing, clustering, materialized views) for reporting and ad-hoc analysis.
 </li>
 <li>
 Maintain security, confidentiality, and integrity of data in line with relevant regulations; implement RBAC and data masking where appropriate.
 </li>
 <li>
 Partner with analysts to design dashboards and reporting assets; enable BI best practices and governance.
 </li>
 <li>
 Participate in the on-call rotation to ensure data pipelines and services remain reliable.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 Advanced SQL and data modeling skills (dimensional modeling, SCDs, normalization vs. denormalization).
 </li>
 <li>
 Strong Python for data processing (e.g., pandas, SQLAlchemy) and building ETL/ELT with automated testing.
 </li>
 <li>
 Experience with CI/CD for data (Git, code reviews, data tests using dbt/Great Expectations or similar).
 </li>
 <li>
 Experience with at least one of: PostgreSQL, MySQL/MariaDB, or Elasticsearch.
 </li>
 <li>
 Orchestration and transformation tools (e.g., Airflow/Prefect and/or dbt).
 </li>
 <li>
 Comfortable with Linux, Docker, and Git.
 </li>
 <li>
 BI/visualization experience (e.g., Power BI, Tableau, Looker, Superset, or Metabase) and dashboard design fundamentals.
 </li>
 <li>
 Writing tests gives you confidence in your code.
 </li>
 <li>
 Willingness to work in an on-call rotation.
 </li>
 <li>
 Full professional proficiency in English (written and verbal ) essential
 </li>
 <li>
 4+ years of relevant experience.
 
 
 </li>
 </ul>
 
 Plus:
 
 
 
 <ul>
 <li>
 Experience with message queues and streaming (RabbitMQ, Kafka).
 </li>
 <li>
 Exposure to modern cloud warehouses (Snowflake, BigQuery, Redshift) or columnar/time-series stores (ClickHouse, TimescaleDB).
 </li>
 <li>
 Experience with Kubernetes for deploying data workloads.
 </li>
 <li>
 Data catalog/lineage tooling (DataHub, OpenLineage, Amundsen) and metrics layer design (dbt metrics, LookML, semantic layers).
 </li>
 <li>
 Security telemetry analytics experience and governance for sensitive data (RBAC, masking, GDPR).
 
 
 </li>
 </ul>
 You bring a can-do attitude, tackle challenges head-on and challenge the status quo with new and innovative ideas.
 
 
 
 What We Offer
 
 
 
 <ul>
 <li>
 Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
 </li>
 <li>
 Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
 </li>
 <li>
 Professional Development: training programs and upskilling/re-skilling opportunities.
 </li>
 <li>
 Career Growth: Internal growth and mobility opportunities within Orange.
 </li>
 <li>
 Caring and Daring Culture: Health and well-being programs and benefits, diversity &amp; inclusion initiatives, CSR and employee connect events.
 </li>
 <li>
 Reward Programs: Employee Referral Program, Change Maker Awards.
 
 
 </li>
 </ul>
 
 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>

Analytics Engineer

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

Integrated Diagnostics Holdings - IDH

<div>
 
 
 About the Role:
 
 
 
 
 We are seeking a highly skilled BI Engineer to join our Data Management team. The ideal candidate will play a key role in designing, developing, and maintaining our data pipelines, integrations, and reporting solutions. You will work closely with SAP modules, SAP BDC Data Warehouse, and modern platforms like SAP Datasphere and Databricks to ensure reliable data flow and insightful analytics.
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 
 Design, build, and optimize ETL processes to integrate data from SAP modules into SAP BDC Data Warehouse, SAP Datasphere, and Databricks.
 
 </li>
 <li>
 
 Develop and maintain data models that support business intelligence and analytics needs.
 
 </li>
 <li>
 
 Create interactive dashboards and reports using Power BI and SAP Analytics Cloud (SAC).
 
 </li>
 <li>
 
 Collaborate with cross-functional teams to understand business requirements and translate them into scalable data solutions.
 
 </li>
 <li>
 
 Ensure data quality, consistency, and governance across all reporting layers.
 
 </li>
 <li>
 
 Implement best practices for data integration, performance tuning, and automation.
 
 </li>
 <li>
 
 Support ad-hoc data analysis and provide actionable insights to stakeholders.
 
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Qualifications
 
 
 <ul>
 <li>
 
 Strong experience with SAP modules and SAP BDC Data Warehouse.
 
 </li>
 <li>
 
 Hands-on expertise in SAP Datasphere and Databricks.
 
 </li>
 <li>
 
 Proficiency in Power BI and SAP Analytics Cloud (SAC) for visualization.
 
 </li>
 <li>
 
 Solid knowledge of SQL for querying and data manipulation.
 
 </li>
 <li>
 
 Experience with Python for data processing, automation, and advanced analytics.
 
 </li>
 <li>
 
 Proven track record in ETL development, data integration, and system interoperability.
 
 </li>
 <li>
 
 Strong analytical and problem-solving skills with attention to detail.
 
 </li>
 <li>
 
 Ability to work collaboratively in a fast-paced environment.
 
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 
 Experience with cloud-based data platforms (Azure, AWS, or GCP).
 
 </li>
 <li>
 
 Familiarity with data governance frameworks and security best practices.
 
 </li>
 <li>
 
 Knowledge of machine learning basics for advanced analytics is a plus
 
 </li>
 </ul>
</div>

Data Analytics Engineer

Al-Futtaim

<div>Job Requisition ID: 176818
Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United A&rdquo;rab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands. Al-Futtaim Group&rsquo;s entrepreneurship and relentless customer focus enables the organisation to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate.
By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day. 

Overview Of The Role:

The Data Engineer is responsible for turning complex data from SAP and non-SAP sources into valuable business insights. This role involves participating in requirement assessments, implementing high-quality data solutions, and supporting various business needs. Success entails effective collaboration with product and development teams to deliver scalable, governed data solutions swiftly. The Data Engineer plays a key role in maintaining the quality of data insights solutions and ensuring alignment with business objectives. 


What You Will Do:
<ul>
<li>Partner with product owners, scrum masters, and solution architects to deliver solutions.</li>
<li>Review and analyze business requirements to design technical solutions.</li>
<li>Collaborate with implementation team members and partners internally and externally to develop, test, and deploy solutions.</li>
<li>Adhere to software development and maintenance standards by understanding development best practices.</li>
<li>Implement robust data pipelines using the Microsoft toolset and Databricks.</li>
<li>Create reusable and scalable data pipelines.</li>
<li>Estimate and deliver multiple project assignments and system change requests within agreed resourcing and timelines.</li>
<li>Govern solutions and assess complex new data sources with various SAP and non-SAP systems.</li>
<li>Analyze structured, semi-structured, and unstructured data sources for quality, completeness, and business value.</li>
<li>Govern the technology implementation of solution designs.</li></ul> 
 
Required Skills To Be Successful:
<ul>
<li>Expertise in data ingestion, data processing, and analytical pipelines for big data and data warehouse solutions.</li>
<li>Experience in cloud-based analytics solutions, particularly Azure Synapse Analytics, ADLS, ADF, Databricks, Power BI, and Azure Analysis Services.</li>
<li>Strong analytic skills with experience handling unstructured datasets.</li>
<li>Thorough understanding of DevOps processes, CI/CD, and Infrastructure as code.</li></ul> 
 
What Equips You For The Role:
<ul>
<li>8+ years of experience in Azure and Databricks.</li>
<li>Minimum 5+ years in implementing analytics capabilities from conceptualization to delivery on the Azure platform.</li>
<li>Bachelor's degree in Computer Science or a related field.</li>
<li>Knowledge of SAP BW/BO, Tableau, Power BI, and Scala is advantageous.</li>
<li>Certification on Azure platform toolsets is a beneficial addition.</li></ul> 
We&rsquo;re here to provide excellent service but a little help from you can ensure a five-star candidate experience from start to finish. 

Before you click &ldquo;apply&rdquo;: Please read the job description carefully to ensure you can confidently demonstrate why this opportunity is right for you and take the time to put together a well-crafted and personalised CV to further boost your visibility. Our global Talent Acquisition team members are all assigned to specific businesses to ensure that we make the best matches between talent and opportunities. We not only consider the requisite compatibility of skills and behaviours, but also how candidates align with our Values of Respect, Integrity, Collaboration, and Excellence. 

As part of our candidate experience promise, we also want to make ourselves available to you throughout the application process. We make every effort to review and respond to every application.</div>

Data 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)

Integrant

<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 &ndash; 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

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>

Explore 392+ Analytics engineer in Egypt this April. Find roles across top companies and apply now to boost your career.

392 analytics engineer jobs In Egypt

Analytics Engineer

Senior Data Analytics Engineer

Data Analytics Engineer

Data Engineer

Data Engineer (m/f/d)

Principal Data Engineer

Principal Data Engineer