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data scientist

data architect

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We are seeking a hands-on and visionary Data Architect to join the Data &amp; AI team. The ideal candidate will play a pivotal role in designing and implementing enterprise-grade data architectures leveraging Microsoft Fabric, Fabric Pipelines, and Notebooks, while driving data integration across enterprise applications.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Data Architecture &amp; Platform Design
</p></div><div><p>Architect and implement enterprise data platforms leveraging Microsoft Fabric, Fabric Pipelines, Notebooks, and Power BI.
</p></div><div><p>Define and maintain end-to-end data architecture blueprints, encompassing ingestion, transformation, storage, and consumption layers.
</p></div><div><p>Establish data modelling standards, metadata management, and lineage tracking frameworks.
</p></div><div><p>Design scalable data pipelines integrating diverse data sources and systems across the organization.
</p></div><div><p>Enterprise &amp; Application Integrations
</p></div><div><p>Lead technical discussions for new data source onboarding and application integrations across business units and applications.
</p></div><div><p>Collaborate with enterprise architects to define integration patterns using APIs, events, and microservices for seamless data exchange.
</p></div><div><p>Ensure interoperability between AI Solutions, ERP, CRM, and bespoke enterprise applications.
</p></div><div><p>Data Strategy &amp; Governance
</p></div><div><p>Contribute to defining data strategy roadmaps supporting digital transformation initiatives.
</p></div><div><p>Manage data governance stream to enforce data quality, cataloging, and compliance frameworks.
</p></div><div><p>Drive data standardization and harmonization across platforms to enable enterprise-wide analytics.
</p></div><div><p>Implementation &amp; Delivery
</p></div><div><p>Translate business requirements into technical blueprints and lead solution design across engineering squads.
</p></div><div><p>Oversee implementation of Fabric-based pipelines and notebooks, ensuring performance, scalability, and security.
</p></div><div><p>Guide data engineers and analysts through technical mentoring, reviews, and architectural alignment.
</p></div><div><p>Innovation &amp; Enablement
</p></div><div><p>Champion the adoption of modern data practices, automation, and self-service analytics enablement.
</p></div><div><p>Drive PoCs and accelerators to integrate AI/ML-ready data architectures.
</p></div><div><p>Continuously evaluate emerging technologies to future-proof the data ecosystem.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Education &amp; Experience:
</p></div><div><p>Bachelor's or Master's degree in Computer Science, Information Systems, or related field.
</p></div><div><p>8-12 years of experience in data architecture, data engineering, or enterprise data platform design.
</p></div><div><p>Proven experience in Microsoft Fabric implementation, including Fabric Pipelines, Notebooks, and Power BI integration.
</p></div><div><p>Strong command of SQL, PySpark, and Python for data transformation and orchestration.
</p></div><div><p>Experience leading data source integrations and application data flow design discussions.
</p></div><div><p>Familiarity with Azure Data Lake, Azure SQL, and data modeling (3NF, Dimensional, Data Vault).
</p></div><div><p>Deep understanding of data governance, cataloguing, and data quality frameworks.
</p></div><div><p>Prior exposure to enterprise-scale integrations involving ERP/CRM platforms (Oracle, Dynamics).
</p></div></div><p>Nice to have
</p><div><div><p>Soft Skills
</p></div><div><p>Strong analytical and architectural problem-solving skills.
</p></div><div><p>Excellent communication and ability to articulate complex data concepts to technical and business stakeholders.
</p></div><div><p>Collaborative mindset, capable of working across multi-disciplinary teams.
</p></div><div><p>Strategic thinker with an execution-driven attitude.
</p></div><div><p>Preferred Certifications
</p></div><div><p>Microsoft Certified: Fabric Analytics Engineer Associate
</p></div><div><p>Azure Data Engineer Associate or equivalent certifications
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C1 Advanced
</p></div></div><div><div><p>Seniority</p>
<p>Lead</p></div></div></div></div></div>
<br><div><div><div><p>Abu Dhabi, United Arab Emirates
</p></div><p>Req. VR-118739
</p></div><div></div><div><div><p>Data Architecture
</p></div><div><p>BCM Industry</p>
</div><div><p>04/11/2025
</p></div><div><p>Req. VR-118739</p></div></div></div><p></p>

Data Architect

DICETEK LLC

<div><p>As a Data Integration &amp; Architecture Specialist, you will be a pivotal member of our data engineering and architecture team. You will play a crucial role in designing, implementing, and optimizing data integration solutions using data warehouse technologies. This position demands a strong understanding of Azure and Data warehouse solutions, data architecture principles, and the ability to design and administer robust data ecosystems.
</p><p><b>Primary skills:
</b></p><ul><li>Azure, Delta Lake, Data Factory, DataBricks, Python/PySpark
</li><li>SAS DWH<br>
</li></ul><p></p><br>
<ul><li>Bachelor's or master&rsquo;s degree in computer science, Information Technology, or a related field.
</li><li>Should have at least 4 years of experience in data engineering.
</li><li>Should possess at least 3 years of UAE banking experience.
</li><li>Candidates with Azure data products and data warehouse experience will be preferred
</li><li>Strong understanding of data warehousing concepts, ETL processes, and data governance.
</li><li>Knowledge of SQL for data manipulation and querying.
</li><li>Excellent problem-solving and troubleshooting skills.
</li><li>Strong communication and collaboration skills.
</li></ul><p><b>Certifications (Preferred):
</b></p><ul><li>Certified Data Integration Developer
</li><li>Azure Data Engineering Associate</li></ul></div><p></p>

Azure Data (warehouse) Engineer

SKLD Manpower Services

<div>
 <p>
  <strong>
   Position Summary
  </strong>
 </p>
 <p>
  The
  <strong>
   Senior Data Engineer &amp; Business Intelligence Analyst
  </strong>
  will be responsible for designing, developing, and maintaining the data architecture supporting
  <strong>
   Oracle E-Business Suite (EBS/EPS)
  </strong>
  systems and internal
  <strong>
   AI and analytics initiatives
  </strong>
  .
 </p>
 <p>
  This role requires a strategic and technical expert with strong knowledge in
  <strong>
   data engineering, data modeling, business intelligence, and system integration
  </strong>
  , ensuring seamless data flow between Oracle EBS modules and analytical platforms.
 </p>
 <p>
  The position focuses on delivering
  <strong>
   advanced reporting, predictive analytics, and decision-support tools
  </strong>
  within a
  <strong>
   secure, offline enterprise environment
  </strong>
  .
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <strong>
   Data Engineering &amp; Architecture
  </strong>
 </p>
 <ul>
  <li>
   Design, build, and maintain scalable
   <strong>
    data pipelines and ETL processes
   </strong>
   integrating Oracle EBS with internal data systems and analytics platforms.
  </li>
  <li>
   Develop and optimize
   <strong>
    data models, schemas, and architectures
   </strong>
   to ensure performance, consistency, and scalability.
  </li>
  <li>
   Collaborate with IT and Oracle EBS functional teams to ensure accurate and secure data exchange between systems.
  </li>
  <li>
   Implement
   <strong>
    data quality checks, validation frameworks, and monitoring tools
   </strong>
   to maintain data integrity and reliability.
  </li>
 </ul>
 <p>
  <strong>
   Business Intelligence &amp; Analytics
  </strong>
 </p>
 <ul>
  <li>
   Design, develop, and maintain
   <strong>
    dashboards, reports, and visualizations
   </strong>
   using BI tools (e.g., Power BI, Oracle BI, Tableau).
  </li>
  <li>
   Translate business requirements into
   <strong>
    data-driven insights and KPIs
   </strong>
   , supporting decision-making across departments.
  </li>
  <li>
   Work with stakeholders to
   <strong>
    identify analytical needs
   </strong>
   and deliver actionable intelligence using structured and unstructured data sources.
  </li>
  <li>
   Conduct
   <strong>
    data mining, predictive modeling, and statistical analysis
   </strong>
   to support internal AI and forecasting initiatives.
  </li>
 </ul>
 <p>
  <strong>
   Integration &amp; Security
  </strong>
 </p>
 <ul>
  <li>
   Manage and optimize
   <strong>
    data integrations between Oracle EBS modules
   </strong>
   (Financials, Procurement, HR, Projects, etc.) and reporting systems.
  </li>
  <li>
   Ensure compliance with internal
   <strong>
    data governance, security, and access control policies
   </strong>
   within an offline/secure environment.
  </li>
  <li>
   Support the development and maintenance of
   <strong>
    data documentation, standards, and procedures
   </strong>
   .
  </li>
 </ul>
 <p>
  <strong>
   Collaboration &amp; Continuous Improvement
  </strong>
 </p>
 <ul>
  <li>
   Partner with cross-functional teams including Finance, Operations, HR, and IT to enhance system functionality and data-driven decision support.
  </li>
  <li>
   Stay current with emerging technologies in
   <strong>
    data engineering, AI, and Oracle analytics
   </strong>
   to recommend and implement system improvements.
  </li>
  <li>
   Mentor junior analysts and engineers in data management best practices and BI tool usage.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications &amp; Experience
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Bachelor&rsquo;s or Master&rsquo;s Degree
   </strong>
   in Computer Science, Information Systems, Data Engineering, or a related field.
  </li>
  <li>
   Minimum
   <strong>
    8&ndash;10 years of experience
   </strong>
   in
   <strong>
    data engineering and BI analytics
   </strong>
   , with at least
   <strong>
    5 years working with Oracle E-Business Suite (EBS)
   </strong>
   or ERP integrations.
  </li>
  <li>
   Proven experience designing and managing
   <strong>
    ETL pipelines
   </strong>
   ,
   <strong>
    data warehouses
   </strong>
   , and
   <strong>
    BI architectures
   </strong>
   .
  </li>
  <li>
   Strong hands-on expertise with
   <strong>
    SQL, PL/SQL, Oracle Data Integrator (ODI)
   </strong>
   , and related Oracle data tools.
  </li>
  <li>
   Experience with
   <strong>
    data visualization tools
   </strong>
   (e.g., Power BI, Oracle Analytics Cloud, Tableau).
  </li>
  <li>
   Familiarity with
   <strong>
    machine learning frameworks
   </strong>
   ,
   <strong>
    Python/R scripting
   </strong>
   , and
   <strong>
    predictive analytics
   </strong>
   preferred.
  </li>
  <li>
   Knowledge of
   <strong>
    data governance, data security, and offline data management protocols
   </strong>
   .
  </li>
  <li>
   Excellent problem-solving, analytical, and communication skills.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Competencies
  </strong>
 </p>
 <ul>
  <li>
   Advanced
   <strong>
    Oracle EBS integration and data modeling
   </strong>
   skills
  </li>
  <li>
   Strong
   <strong>
    analytical and business acumen
   </strong>
  </li>
  <li>
   Expertise in
   <strong>
    ETL/ELT process design and optimization
   </strong>
  </li>
  <li>
   Proficiency in
   <strong>
    reporting and BI development
   </strong>
  </li>
  <li>
   Knowledge of
   <strong>
    AI, machine learning, and predictive analytics concepts
   </strong>
  </li>
  <li>
   High attention to detail with a commitment to
   <strong>
    data accuracy and confidentiality
   </strong>
  </li>
  <li>
   Collaborative mindset with the ability to work across multi-functional teams
  </li>
 </ul>
 <p>
 </p>
</div>


Senior Data Engineer & Business Intelligence Analyst (Oracle EBS Integration)

Hays

<div>
 <p>
  <strong>
   Location:
  </strong>
  Abu Dhabi, United Arab Emirates
 </p>
 <p>
  <strong>
   Industry:
  </strong>
  Quantitative Research
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for a highly motivated and experienced
  <strong>
   Lead Data Scientist
  </strong>
  to head our data science team in Abu Dhabi.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role:
  </strong>
 </p>
 <p>
  As Lead Data Scientist, you will be responsible for defining and implementing advanced data science solutions, leading a team of 10 professionals. This role requires strong technical expertise, strategic leadership, and hands-on involvement in developing machine learning architectures and models.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Provide technical leadership to a team of data scientists and machine learning engineers.
  </li>
  <li>
   Design and implement data solutions for applications in BFSI, quantitative research, and asset management.
  </li>
  <li>
   Develop and optimize ML models, including LLMs and NLP pipelines, in multi-GPU environments.
  </li>
  <li>
   Define scalable and robust architectures for data processing and predictive modeling.
  </li>
  <li>
   Act as the team&rsquo;s technical reference, promoting best practices and continuous innovation.
  </li>
  <li>
   Communicate technical insights clearly to both technical and non-technical stakeholders.
  </li>
  <li>
   Collaborate with cross-functional teams to integrate data capabilities into products and workflows.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What We&rsquo;re Looking For:
  </strong>
 </p>
 <ul>
  <li>
   7+ years of experience in applied data science within BFSI, quantitative research, or asset management.
  </li>
  <li>
   Proven experience in technical leadership and team management.
  </li>
  <li>
   Strong expertise in Machine Learning, LLMs, NLP, and foundational models.
  </li>
  <li>
   Hands-on experience with Python, TensorFlow, PyTorch, Scikit-learn, among others.
  </li>
  <li>
   Ability to work hands-on in complex technical environments.
  </li>
  <li>
   Excellent communication skills in English (written and verbal).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Academic Background:
  </strong>
 </p>
 <ul>
  <li>
   Master&rsquo;s or PhD in relevant fields, preferably from top-tier universities (Ivy League, Oxbridge, ETH, etc.)
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What We Offer:
  </strong>
 </p>
 <ul>
  <li>
   Competitive, tax-free salary.
  </li>
  <li>
   Visa sponsorship (if needed).
  </li>
  <li>
   Health insurance for you and your family.
  </li>
  <li>
   Annual return ticket to your home country.
  </li>
 </ul>
 <p>
 </p>
</div>


Lead Data Scientist

Robusta

<div><p><b>About the Role</b><br>
The <b>UX Architect</b> defines and optimizes the structure, flow, and interaction models of complex digital products. You&rsquo;ll translate advanced capabilities into intuitive, scalable experiences while balancing usability, performance, and trust.</p><p><b>
Key Responsibilities</b></p><ul>
<li>
Define and document information architecture, interaction flows, and navigation models.
</li><li>Develop frameworks for decision transparency, error recovery, and consistent interaction models.
</li><li>Create scalable system design frameworks that support cross-platform experiences (web, mobile, conversational).
</li><li>Produce detailed wireframes, journey maps, and prototypes to illustrate end-to-end workflows.
</li><li>Establish UX guidelines and best practices for integrating predictive insights and automation.
</li><li>Conduct architecture-level testing (navigation validation, workflow evaluations).
</li><li>Ensure designs meet accessibility and inclusivity standards.
</li><li>Maintain UX documentation, design libraries, and pattern repositories for reuse across teams.</li>
</ul><p><b>
Requirements</b></p><ul>
<li>
5+ years of experience as a UX Architect, UX Designer, or Information Architect.
</li><li>Strong understanding of complex system design, IA, and interaction design principles.
</li><li>Experience creating UX architecture documentation and reusable frameworks.
</li><li>Skilled in tools such as Figma, Axure, Miro, or similar.
</li><li>Proven ability to collaborate with cross-functional teams and translate business needs into user flows.
</li></ul><p><b>Nice to Have</b></p><ul>
<li>
Experience with data visualization or AI-driven interfaces.
</li><li>Familiarity with WCAG accessibility standards.</li></ul></div>

UX Architect - Product Development (3 Months Contract )- Octopus by RTG

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>We are seeking an expert with deep proficiency as a Platform Engineer, possessing experience in data engineering. This individual should have a comprehensive understanding of both data platforms and software engineering, enabling them to integrate the platform effectively within an IT ecosystem.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Manage and optimize data platforms (Databricks, Palantir).
</p></div><div><p>Ensure high availability, security, and performance of data systems.
</p></div><div><p>Provide valuable insights about data platform usage.
</p></div><div><p>Optimize computing and storage for large-scale data processing.
</p></div><div><p>Design and maintain system libraries (Python) used in ETL pipelines and platform governance.
</p></div><div><p>Optimize ETL Processes
</p></div><div><p>Enhance and tune existing ETL processes for better performance, scalability, and reliability.
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Minimum 10 Years of experience in IT/Data.
</p></div><div><p>Minimum 5 years of experience as a Data Platform Engineer/Data Engineer.
</p></div><div><p>Bachelor's in IT or related field.
</p></div><div><p>Infrastructure &amp; Cloud: Azure, AWS (expertise in storage, networking, compute).
</p></div><div><p>Data Platform Tools: Any of Palantir, Databricks, Snowflake.
</p></div><div><p>Programming: Proficiency in PySpark for distributed computing and Python for ETL development.
</p></div><div><p>SQL: Expertise in writing and optimizing SQL queries, preferably with experience in databases such as PostgreSQL, MySQL, Oracle, or Snowflake.
</p></div><div><p>Data Warehousing: Experience working with data warehousing concepts and platforms, ideally Databricks.
</p></div><div><p>ETL Tools: Familiarity with ETL tools &amp; processes
</p></div><div><p>Data Modelling: Experience with dimensional modelling, normalization/denormalization, and schema design.
</p></div><div><p>Version Control: Proficiency with version control tools like Git to manage codebases and collaborate on development.
</p></div><div><p>Data Pipeline Monitoring: Familiarity with monitoring tools (e.g., Prometheus, Grafana, or custom monitoring scripts) to track pipeline performance.
</p></div><div><p>Data Quality Tools: Experience implementing data validation, cleaning, and quality frameworks, ideally Monte Carlo.
</p></div></div><p>Nice to have
</p><div><div><p>Containerization &amp; Orchestration: Docker, Kubernetes.
</p></div><div><p>Infrastructure as Code (IaC): Terraform.
</p></div><div><p>Understanding of Investment Data domain (desired).
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: B2 Upper Intermediate
</p></div></div><div><div><p>Seniority</p>
<p>Lead</p></div></div></div></div></div>
<br><div><div><div><p>Abu Dhabi, United Arab Emirates
</p></div><p>Req. VR-118657
</p></div><div></div><div><div><p>DWH Development
</p></div><div><p>BCM Industry</p>
</div><div><p>29/10/2025
</p></div><div><p>Req. VR-118657</p></div></div></div><p></p>

Lead Data Platform Engineer/Architect

Mindstream

<p>SAP Data sphere Expert for <b>Qatar </b>(Oracle EBS to S/4HANA Transformation)</p><p><b>Role Overview</b></p><p>We are seeking an experienced <b>SAP Datasphere Expert</b> to support our transformation program migrating from <b>Oracle E-Business Suite R12 to SAP S/4HANA</b>. The role will focus on bridging data gaps between Oracle and SAP, enabling <b>reporting (management and statutory)</b>, and supporting <b>IFRS-based allocations and compliance reporting</b>. The candidate will work closely with functional, technical, and finance teams to design, implement, and optimize data models, ensuring data accuracy and reporting readiness throughout the program.</p><p><b>Key Responsibilities</b></p><ul><li><b>Data Integration &amp; Migrations</b></li><li>Assess and design <b>data mapping</b> between Oracle EBS R12 and SAP S/4HANA.</li><li>Configure and optimize <b>SAP Datasphere</b> for extracting, transforming, and harmonizing legacy Oracle data into S/4HANA.</li><li>Support <b>data cleansing, enrichment, and validation</b> to ensure data quality for reporting and analytics.</li><li><b>Reporting &amp; Analytics</b></li><li>Develop <b>management reporting dashboards</b> and <b>statutory/financial reports</b> using SAP Data sphere, SAP Analytics Cloud (SAC), or other relevant reporting tools.</li><li>Implement <b>IFRS allocation models</b> and ensure compliance with <b>local GAAP and statutory reporting requirements</b>.</li><li>Collaborate with finance and business stakeholders to define KPIs and reporting structures.</li><li><b>Gap Analysis &amp; Solution Design</b></li><li>Identify <b>gaps</b> between Oracle EBS legacy data structures and SAP S/4HANA reporting requirements.</li><li>Recommend and implement <b>data modeling solutions</b> in SAP Datasphere to bridge these gaps.</li><li>Ensure alignment with <b>SAP best practices</b> for data management and analytics.</li><li><b>Collaboration &amp; Stakeholder Management</b></li><li>Partner with SAP functional consultants (FI/CO, Group Reporting, Controlling, etc.) to align reporting structures.</li><li>Support <b>business stakeholders</b> in adopting new reporting capabilities.</li><li>Liaise with external vendors and internal IT teams to ensure smooth delivery.</li></ul><p><b>Required Skills &amp; Experience</b></p><ul><li><b>Core Expertise</b></li><li>Proven experience with <b>SAP Datasphere (SAP Data Warehouse Cloud)</b> including data modeling, integration, and consumption.</li><li>Strong background in <b>data migration and reporting</b> from <b>Oracle EBS (R12)</b> to <b>SAP S/4HANA</b>.</li><li>Hands-on experience with <b>SAP Analytics Cloud (SAC)</b> for reporting and visualization.</li><li>Understanding of <b>IFRS and statutory reporting</b> processes (Group Reporting, Consolidation, Allocations).</li><li><b>Technical Skills</b></li><li>Knowledge of <b>ETL processes</b>, data harmonization, and transformation logic.</li><li>Proficiency in <b>SQL, data modeling, and integration technologies</b> (ODP, SDI, APIs).</li><li>Experience with <b>SAP S/4HANA Finance (FI/CO) data structures</b> and reporting tools.</li><li>Familiarity with <b>Oracle EBS R12 data model</b>, especially finance and controlling modules.</li><li><b>Functional Knowledge</b></li><li>Understanding of <b>finance and accounting processes</b> (GL, AP, AR, FA, CO).</li><li>Exposure to <b>statutory and management reporting requirements</b> across multiple geographies.</li><li>Experience in <b>financial consolidations</b> and <b>allocation models</b>.</li><li><b>Other Requirements</b></li><li>8+ years of experience in <b>data &amp; reporting roles</b>, with at least 3+ years in <b>SAP Datasphere/SAC</b>.</li><li>Prior involvement in <b>ERP transformation/migration projects (Oracle &rarr; SAP)</b> preferred.</li><li>Strong communication and stakeholder management skills.</li><li>Ability to work in a cross-functional and global team environment.</li></ul><p><b>Nice to Have</b></p><ul><li>Experience with <b>SAP Group Reporting</b> or <b>BPC (Business Planning &amp; Consolidation)</b>.</li><li>Familiarity with <b>local statutory compliance reporting tools</b>.</li><li>Knowledge of <b>cloud integration platforms (CPI, Azure, etc.)</b>.</li><li>Exposure to <b>data governance and security best practices</b>.</li></ul><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>How many years of experience do you have working with SAP Datasphere (or SAP Data Warehouse Cloud)?</li><li>How many years of experience do you have with SAP Analytics Cloud (SAC)?</li><li>Have you worked on any Oracle EBS to SAP S/4HANA migration or transformation projects?</li><li>Do you have experience in data modeling, integration, and reporting in SAP Datasphere?</li><li>Do you have hands-on experience with SAP S/4HANA Finance (FI/CO) data structures?</li><li>Have you been involved in ERP transformation or migration projects?</li><li>What is your current and expected salary? Notice period?</li></ul>

SAP Datasphere Expert (Oracle EBS to S/4HANA Transformation)

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