data engineer

senior data scientist

senior data analyst

analytics engineer ii

business analytics analyst

data analytics specialist

Majid Al Futtaim

<div>
 
 
 BUSINESS INTRODUCTION
 
 
 
 Majid Al Futtaim Holding is the leading shopping mall, retail, communities, entertainment developer and operator in the Middle East, North Africa, and Central Asia regions. With over 43,000 people, revenues of over US$ 11 Billion, and operations in 18 countries. Some of the iconic brands we carry include Mall of the Emirates, Carrefour, All Saints, Lego, City Center, Abercrombie &amp; Fitch, &amp; Vox Cinemas. We believe in making Great Moments for Everyone, Every day.
 
 
 
 
 
 
 
 
 
 JOB TITLE
 
 
 
 Data Privacy Specialist | MAF Entertainment | Lega
 
 
 
 
 
 
 ROLE SUMMARY
 
 
 
 This role supports the Privacy Officer in implementing, monitoring, and enhancing the organization&rsquo;s data protection framework. This role is operational and cross‑functional, ensuring privacy compliance and assisting functions where needed. The role will handle assessments, support privacy operations, manage records, coordinate with system and data owners, and help ensure compliance with applicable privacy laws (UAE PDPL, Egypt PDPL, GDPR, etc.
 
 ).
 
 
 
 
 
 
 
 
 
 
 ROLE PROFILE
 
 
 <ul>
 <li>
 Implement and support the organization's data privacy framework, policies, and guidance.
 </li>
 <li>
 Identify, assess, monitor, and mitigate personal data protection and privacy risks.
 </li>
 <li>
 Drive data privacy compliance, ethics initiatives, and coordination across business functions
 </li>
 <li>
 Conduct privacy assessments, including DPIAs, IDPAs, vendor due diligence, transfer impact assessments, and contract reviews
 </li>
 <li>
 Manage Data Subject Requests (DSRs) such as access, deletion, correction, and consent withdrawal
 </li>
 <li>
 Maintain privacy governance activities including ROPAs, data mapping, consent management, and privacy operational tools
 </li>
 <li>
 Act as a privacy subject matter expert, supporting stakeholders, regulatory interactions, and business development project
 </li>
 <li>
 Deliver privacy training, support breach and incident management, and contribute to reporting, forums, and continuous improvement initiatives
 </li>
 </ul>
 
 
 
 
 
 REQUIREMENT
 
 
 <ul>
 <li>
 Bachelor's degree in law, Compliance, Information Security, Business, or a related field is preferred
 </li>
 <li>
 1-3 years of experience in Data Privacy, PDPL (UAE &amp; Egypt), GDPR, and related regulatory frameworks
 </li>
 <li>
 Experience using privacy management platforms such as Securiti.ai, OneTrust, or equivalent to
 </li>
 <li>
 Strong knowledge of privacy assessments, ROPA documentation, data discovery, and third-party privacy risk evaluati
 </li>
 <li>
 Understanding of privacy contracts and frameworks, including DPAs, TIAs, SCCs, DSAs, MSAs, PIAs, and service agreement
 </li>
 <li>
 Strong stakeholder management, problem-solving, cross-functional collaboration skills, and privacy certifications (CIPP/E, CIPP/M, or CIPT) are an advantage
 </li>
 </ul>
 
 
 
 
 
 
 
 
 WHAT WE OFFER
 
 
 <ul>
 <li>
 At Majid Al Futtaim, we&rsquo;re on a mission to create great moments, to spread happiness, to build, experiences that stay in our memories for a lifetime. We&rsquo;re proud to say that over the past 27 years, we have built a reputation as a regional market leader in what we do. Join us
 </li>
 <li>
 Work in a friendly environment, where everyone shares positive vibes and excited about our future
 </li>
 <li>
 Work with over 45,000 diverse and talented colleagues, all guided by our Leadership Model
 </li>
 </ul>
 
 
</div>

Data Privacy Specialist

Datamatics Technologies

<div>
 Job Description: Data Science &amp; Analytics Engineer
 
 
 Job Title:
 
 Data Science &amp; Analytics Engineer
 
 
 Experience:
 
 3&ndash;11 Years
 
 
 Location:
 
 
 
 Riyadh - Onsite
 
 
 
 
 Employment Type:
 
 Full-Time
 
 Job Overview
 
 We are looking for a talented
 
 Data Science &amp; Analytics Engineer
 
 with
 
 3&ndash;11 years of experience
 
 to transform complex data into actionable business insights. The ideal candidate will have expertise in data science, statistical analysis, predictive modeling, data visualization, and modern analytics platforms. You will work closely with business stakeholders, data engineers, and technology teams to develop data-driven solutions that support strategic decision-making.
 
 Key Responsibilities
 <ul>
 <li>
 Design, develop, and deploy predictive and analytical models to solve business problems
 </li>
 <li>
 Perform data exploration, statistical analysis, feature engineering, and model evaluation
 </li>
 <li>
 Build interactive dashboards, reports, and visualizations for business stakeholders
 </li>
 <li>
 Develop scalable data analytics solutions using modern cloud and big data platforms
 </li>
 <li>
 Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions
 </li>
 <li>
 Analyze structured and unstructured datasets to identify trends, patterns, and opportunities
 </li>
 <li>
 Ensure data quality, governance, and best practices across analytics initiatives
 </li>
 <li>
 Present analytical findings and recommendations to technical and non-technical audiences
 </li>
 <li>
 Continuously improve analytics processes, reporting capabilities, and model performance
 </li>
 </ul>
 Required Technical SkillsProgramming &amp; Data Science
 <ul>
 <li>
 Strong proficiency in
 
 Python or R
 
 for data analysis, statistical modeling, and machine learning
 </li>
 <li>
 Experience with data manipulation, exploratory data analysis (EDA), and predictive analytics
 </li>
 </ul>
 Data Science Platforms
 <ul>
 <li>
 Hands-on experience with
 
 Databricks or Dataiku
 
 for data science, machine learning, and collaborative analytics
 </li>
 <li>
 Experience developing end-to-end analytical workflows and model deployment
 </li>
 </ul>
 Business Intelligence &amp; Visualization
 <ul>
 <li>
 Strong experience with
 
 Power BI or Tableau or Looker
 
 for dashboard development and data visualization
 </li>
 <li>
 Ability to create interactive reports and executive-level dashboards
 </li>
 </ul>
 Data Warehousing &amp; Analytics
 <ul>
 <li>
 Experience with
 
 BigQuery or Snowflake
 
 for large-scale analytics and data warehousing
 </li>
 <li>
 Strong understanding of SQL, data modeling, and analytical query optimization
 </li>
 </ul>
 Analytics &amp; Machine Learning
 <ul>
 <li>
 Experience with statistical analysis, forecasting, classification, clustering, and regression models
 </li>
 <li>
 Familiarity with machine learning libraries and model evaluation techniques
 </li>
 </ul>
 Qualifications
 <ul>
 <li>
 Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Information Technology, or a related field
 </li>
 <li>
 
 3&ndash;11 years
 
 of professional experience in Data Science, Business Analytics, or Advanced Analytics
 </li>
 <li>
 Strong analytical, mathematical, and problem-solving skills
 </li>
 <li>
 Excellent communication and presentation skills
 </li>
 <li>
 Experience working in Agile/Scrum environments
 </li>
 </ul>
 Preferred Skills
 <ul>
 <li>
 Experience with cloud analytics platforms on AWS, Microsoft Azure, or Google Cloud Platform
 </li>
 <li>
 Knowledge of MLOps, model deployment, and AI-driven analytics
 </li>
 <li>
 Experience with ETL/ELT processes and data engineering concepts
 </li>
 <li>
 Familiarity with Generative AI, Large Language Models (LLMs), or AI-assisted analytics is an advantage
 </li>
 <li>
 Relevant certifications in Data Science, Analytics, or Cloud technologies are a plus
 </li>
 </ul>
 Key Technology Stack
 <ul>
 <li>
 
 Programming Languages:
 
 
 Python or R
 
 </li>
 <li>
 
 Data Science Platforms:
 
 
 Databricks or Dataiku
 
 </li>
 <li>
 
 Business Intelligence:
 
 
 Power BI or Tableau or Looker
 
 </li>
 <li>
 
 Data Warehouse:
 
 
 BigQuery or Snowflake
 
 </li>
 <li>
 
 Analytics:
 
 Statistical Analysis
 
 and
 
 Predictive Modeling
 
 and
 
 Machine Learning
 
 and
 
 Data Visualization
 </li>
 <li>
 
 Cloud Platforms:
 
 
 AWS or Microsoft Azure or Google Cloud Platform
 
 (Preferred)
 </li>
 </ul>
</div>

Data Science & Analytics Engineer

Bevatel

<div>
 We're looking for a
 
 Social Media Specialist
 
 to join our team at
 
 Bevatel
 
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Content Creation: Produce high-quality, trend-driven video content and UGC across all platforms.
 </li>
 <li>
 Platform Management: Manage and optimize presence on Meta, TikTok, YouTube, Snapchat, and LinkedIn.
 </li>
 <li>
 Creative Execution: Use CapCut, Canva, and AI tools to create fast-paced, engaging visuals.
 </li>
 <li>
 Trend Adaptation: Stay ahead of viral trends and quickly adapt them to the brand.
 </li>
 <li>
 Catalog Management: Maintain product/service catalogs on WhatsApp Business and social commerce tools.
 </li>
 <li>
 Engagement: Actively engage with the community and respond to interactions promptly.
 </li>
 <li>
 Analytics: Monitor performance metrics to optimize and improve social media strategy.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Energy &amp; Mindset: Highly active, proactive, and deeply connected to modern social media culture.
 </li>
 <li>
 Experience: Proven track record in media and UGC creation (A portfolio of video work is mandatory).
 </li>
 <li>
 Tool Mastery: (CapCut, Canva, or fast-paced AI creative tools).
 </li>
 <li>
 Agility &amp; Flexibility: A multi-tasker who is resourceful, adaptable, and can make things happen quickly.
 </li>
 <li>
 Marketing tools: Meta, YouTube, TikTok, Snap, Google Channel, LinkedIn, WB business and catalog,
 </li>
 </ul>
</div>

Social Media Specialist

Arrow Electronics

<div>
 
 Position
 
 
 
 Senior Data Engineer
 
 
 
 Job Description
 
 
 
 Seeking an experienced Senior Data Engineer to design, development, and optimization of
 
 
 our data pipelines, data models, and analytics infrastructure. The ideal candidate has
 
 
 strong experience in building scalable data platforms across operational systems and
 
 
 enterprise data warehouses.
 
 
 Key Responsibilities
 
 
 Core Responsibilities
 
 
 <ul>
 <li>
 Design, build, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
 </li>
 <li>
 Develop high-quality data integration workflows using modern data engineering tools and frameworks.
 </li>
 <li>
 Optimize data processing performance, storage usage, and pipeline reliability.
 </li>
 <li>
 Implement data quality checks, validation rules, and monitoring dashboards.
 </li>
 <li>
 Collaborate with data analysts, data scientists, and business teams to deliver reliable datasets suitable for reporting and analytics.
 </li>
 <li>
 Manage data security, access controls, and governance best practices.
 </li>
 <li>
 Support production workflows, troubleshoot issues, and improve platform stability.
 
 
 </li>
 </ul>
 Additional Responsibilities for Data Models &amp; Structures (Operational + DW)
 
 
 <ul>
 <li>
 Own the design and maintenance of logical and physical data models for
 
 
 </li>
 </ul>
 operational systems and enterprise data warehouse (OLTP + DWH).
 
 
 <ul>
 <li>
 Define and enforce data modeling standards, naming conventions, and schema governance.
 </li>
 <li>
 Translate business processes into efficient database schemas, including star/snowflake models.
 </li>
 <li>
 Optimize queries and database structures for high-performance analytics and real-time data access.
 </li>
 <li>
 Work closely with DBAs, architects, and product teams to ensure data models meet scalability and performance requirements.
 </li>
 <li>
 Lead database refactoring efforts, schema evolution, and versioning processes.
 </li>
 <li>
 Perform impact analysis for schema changes across upstream and downstream systems.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 Must-Have Requirements
 
 
 <ul>
 <li>
 5+ years of experience as a Data Engineer or similar role.
 </li>
 <li>
 Strong Python Skills and Experience
 </li>
 <li>
 Strong SQL /PLSQL skills and experience with relational databases (Oracle, PostgreSQL, MySQL, or similar).
 </li>
 <li>
 Experience with NoSQL databases and streaming systems (Kafka, Kinesis, etc.).
 </li>
 <li>
 Hands-on experience with data processing frameworks (Spark, Databricks, or similar).
 </li>
 <li>
 Proficiency with cloud platforms (AWS).
 </li>
 <li>
 Experience with workflow orchestration (Airflow, Prefect, or similar).
 </li>
 <li>
 Strong understanding of ETL/ELT patterns, data warehousing concepts, and BI fundamentals.
 </li>
 <li>
 Proven ability to design robust data models and optimize database structures.
 </li>
 <li>
 Knowledge of data governance, cataloging, and metadata management.
 
 
 </li>
 </ul>
 Nice-to-Have Skills
 
 
 <ul>
 <li>
 Familiarity with CI/CD, infrastructure-as-code, and DevOps practices.
 </li>
 <li>
 Experience with real-time analytics or high-volume distributed data systems
 
 
 </li>
 </ul>
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Senior 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>

Principal 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:
 
 Database, Project Manager, Data Warehouse, SQL, Quality Assurance, Technology
</div>

Data Engineer (m/f/d)

Sana Commerce

<div>
 
 What started in 2007 with a pizza and a plan has grown into a fast-moving SaaS company empowering manufacturers, distributors, and wholesalers to thrive in complex B2B commerce.
 
 
 
 
 Our mission is simple: help businesses build stronger relationships through seamless digital commerce.
 
 
 
 
 At Sana Commerce, you&rsquo;ll join a team that&rsquo;s bold, growth-oriented, and customer-obsessed, where every engineer has real ownership and impact.
 
 
 
 
 We are looking for a
 
 Senior Data Engineer
 
 to design, build, and optimize our
 
 Azure and Databricks-based data infrastructure
 
 . You will play a critical role in developing scalable
 
 ETL pipelines, data ingestion frameworks, and
 
 
 contribute to
 
 
 AI/ML-powered solutions
 
 that drive internal decision-making and customer-facing insights.
 
 
 
 
 This is a hands-on role that requires expertise in
 
 Azure Data Services, Databricks, and Python/SQL
 
 . You will work closely with
 
 Data Architects, Engineers, and Product teams
 
 to develop robust data solutions that power
 
 analytics, personalization, and AI-driven customer experiences
 
 .
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 Data Pipeline Development &amp; Infrastructure
 
 
 
 
 <ul>
 <li>
 Design, build, and maintain
 
 scalable data pipelines
 
 </li>
 <li>
 Develop
 
 real-time and batch data processing
 
 frameworks for structured and unstructured data.
 </li>
 <li>
 Implement
 
 ETL/ELT workflows
 
 to ingest data from various sources, ensuring
 
 high availability and performance
 
 .
 </li>
 <li>
 Optimize
 
 data storage and retrieval
 
 of data in (near) real time and batch processes
 </li>
 <li>
 Ensure
 
 cost-efficient
 
 and
 
 high-performance
 
 data infrastructure that scales with business needs.
 </li>
 </ul>
 
 
 Data Solutions &amp; AI-Driven Applications
 
 
 
 
 <ul>
 <li>
 develop data pipelines for
 
 ML recommenders, search functionality, and AI-enhanced features
 
 .
 </li>
 <li>
 Develop and maintain
 
 data models, APIs, and integrations
 
 to support analytics and customer applications.
 </li>
 <li>
 Support
 
 eCommerce-related data solutions
 
 , including product recommendations, customer segmentation, and personalization models.
 </li>
 </ul>
 
 
 Collaboration &amp; Continuous Improvement
 
 
 
 
 <ul>
 <li>
 Work closely with
 
 Data Architects, Analysts, and Product Teams
 
 to understand data requirements and deliver best-in-class solutions.
 </li>
 <li>
 Monitor and troubleshoot
 
 performance issues
 
 , ensuring high availability and efficiency of data pipelines.
 </li>
 <li>
 Continuously optimize
 
 cost, performance, and scalability
 
 of data engineering solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 6+ years of experience as a
 
 Data Engineer
 
 , working with
 
 Azure and Databricks
 
 </li>
 <li>
 Strong expertise in
 
 data pipeline development, ETL workflows, and real-time/batch data processing
 
 .
 </li>
 <li>
 Experience in
 
 big data technologies, and large-scale data storage
 
 .
 </li>
 <li>
 Familiarity with
 
 data governance, security, and compliance best practices
 
 and
 
 tools
 
 </li>
 <li>
 Proficiency in
 
 Python,
 
 
 and
 
 
 SQL,
 
 for data transformation, data quality and automation.
 </li>
 <li>
 Strong experience in
 
 optimizing data performance and cost-efficiency in cloud environments
 
 .
 </li>
 </ul>
 
 
 Nice to Have
 
 
 
 
 <ul>
 <li>
 Experience with
 
 eCommerce data solutions
 
 , such as customer segmentation, recommendation engines, and personalization models.
 </li>
 <li>
 Knowledge of
 
 event-driven architectures, streaming data processing, and real-time analytics
 
 .
 </li>
 <li>
 Familiarity with
 
 LLM-based AI applications and OpenAI
 
 
 or similar
 
 
 APIs
 
 .
 </li>
 </ul>
 
 
 Why you&rsquo;ll love working here
 
 
 
 
 <ul>
 <li>
 Impact from day one &ndash; Join a scale-up where your ideas shape how global businesses operate online.
 </li>
 <li>
 Continuous learning &ndash; Access a structured onboarding rated 9.1/10 by previous hires, mentorship, and feedback culture.
 </li>
 <li>
 Hybrid flexibility &ndash; Work from our office in Alexandria 3 days per week and from home 2 days.
 </li>
 <li>
 Career growth &ndash; Expand your technical and leadership scope in a company built for long-term success.
 </li>
 </ul>
 
 
 Our values
 
 
 
 
 
 At Sana Commerce, our values drive everything we do:
 
 
 
 <ul>
 <li>
 Champions of Our League &ndash;
 
 We deliver lasting success, balancing quick wins and long-term value
 
 </li>
 <li>
 Supercharge Our Customers &ndash;
 
 We&rsquo;re revolutionizing B2B commerce together, helping our customers to lead and succeed.
 
 </li>
 <li>
 Determined to Grow &ndash;
 
 We embrace challenges, growing and raising the bar for ourselves and our industry.
 
 </li>
 <li>
 Bold Together &ndash;
 
 We dare to be bold because we have each other&rsquo;s back.
 
 </li>
 </ul>
 
 
 Ready to build reliability that scales?
 
 
 
 
 
 Apply now and help shape the foundation of our next-generation SaaS platform.
 
 
 
 
 
 
 Additional Information
 
 
 
 
 
 
 
 
 
 
 
</div>

Senior Data Engineer - Alexandria

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