Data Modeling & Engineering Specialist Job at Vodafone (Giza)

Backend & Data Engineering Specialist

We are seeking a Backend & Data Engineering Specialist to design, build and oper...

Location

India , Pune

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Python
Flask
FastAPI
BigQuery
SQL
Docker
Git
machine learning
time-series forecasting
regression models

Job Responsibility

Design, develop and maintain backend services using Python frameworks such as Flask and FastAPI
Build, optimise and support data pipelines and analytics workflows using BigQuery and SQL
Develop containerised applications using Docker and manage source code through Git
Implement and maintain machine learning solutions, including time-series forecasting and regression models
Support ETL and data transformation workflows, with exposure to PySpark-based processing
Deploy, monitor and manage applications on Google Cloud Platform (GCP)
Ensure applications comply with security, governance and data protection standards
Actively participate in Agile ceremonies including sprint planning, daily stand-ups, sprint reviews and retrospectives
Collaborate closely with Product Owners, DevOps, Data and Security teams within an Agile/Scrum setup
Take ownership of deliverables and contribute to continuous improvement in Agile execution

What we offer

Opportunity to work on cloud-native backend and data platforms using Google Cloud technologies
Exposure to analytics-driven and machine learning–enabled solutions
Collaboration with cross-functional teams in a modern Agile delivery environment
A role that balances engineering ownership with continuous improvement and learning

Expert Consultant, Financial Modeling & Data Analytics Specialist

This role is ideal for professionals with a strong background in financial model...

Location

Germany , Düsseldorf

Salary:

Not provided

Boston Consulting Group

Expiration Date

Until further notice

Requirements

Master’s degree in finance, economics, accounting, engineering, or a related quantitative field
Strong academic foundation in corporate finance, financial accounting, and quantitative analysis
3–4 years of experience in financial modeling, valuation, and analytics within restructuring, transformation, transaction services, or financial advisory environments (e.g., Big 4, consulting, corporate finance or restructuring advisory)
Proven experience in building integrated financial and business planning models, including scenarios and stress tests
Advanced proficiency in Excel-based financial modeling
Experience with data analytics and visualization tools (e.g., Power BI, Tableau)
Working knowledge of VBA, Power Query, Alteryx, SQL, or Python is a strong plus
Openness to learning and applying more advanced planning and modeling platforms (e.g., Anaplan)
Strong curiosity for automation, large-scale data analytics, and GenAI-driven modeling approaches
Structured, detail-oriented, and hypothesis-driven working style

Job Responsibility

Act as an integral member of BCG’s client teams, contributing directly to strategic and operational decisions of international companies
Serve as an embedded modeling and analytics expert within client-facing case teams
Collaborate closely with client counterparts to align on analytical approaches, assumptions, and data inputs
Support case team members and project leaders in shaping decision-relevant analyses and management-ready insights
Help translate complex analyses into clear narratives for senior management, lenders, and other key stakeholders
Design, build, and maintain advanced, integrated financial and business models to support restructuring, turnaround, and transformation cases across industries
Combine financial modeling and financial data analytics to generate deeper insights into performance, liquidity, value drivers, and risk
Develop robust business planning, scenario, stress-testing, and sensitivity frameworks to support high-stakes decision-making
Apply strong corporate finance and accounting principles to ensure models are consistent, auditable, and decision-ready
Leverage modern analytics, automation, and modeling tools to increase speed, quality, and scalability of analyses

Aws Data Engineer (Cloud Data Platform & Pipeline Specialist)

Design, develop, and maintain scalable cloud-based data pipelines using AWS serv...

Location

United States , Atlanta

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

5+ years of experience in data engineering, with strong hands-on expertise in AWS data services (Glue, EMR, S3, RDS, DataSync, DMS)
5+ years of Proven experience building and managing data pipelines (batch and streaming) in cloud environments
5+ years of Strong experience in data migration, transformation frameworks, and large-scale data replication
5+ years of Deep understanding of data modeling, data transformation, and reconciliation techniques
5+ years of Experience designing and implementing secure data access and governance (least privilege principles)
5+ years of Hands-on experience with data validation, auditing, and reconciliation processes
Familiarity with regulatory or finance data environments and reporting workloads
5+ years of Strong problem-solving skills and ability to work in a collaborative, fast-paced environment
AWS data services
data pipelines

Job Responsibility

Design, develop, and maintain scalable cloud-based data pipelines using AWS services such as Glue, EMR, S3, RDS, DataSync, and DMS
Build and optimize batch and streaming data orchestration workflows to support enterprise data platforms
Lead large-scale data migration efforts, including legacy-to-cloud transformations and replication strategies
Perform data modeling, transformation, and reconciliation to ensure high-quality, consistent datasets across systems
Implement secure data access patterns following least-privilege principles for pipelines and datasets
Collaborate with data architects, analysts, and business stakeholders to understand data requirements and deliver solutions
Establish robust data validation, reconciliation, and audit mechanisms to meet regulatory and reporting requirements
Troubleshoot and optimize performance of ETL/ELT pipelines and data workflows in AWS environments
Support governance, compliance, and audit readiness for data platforms in regulated environments (finance/reporting)

Fulltime

System Engineering Specialist Advisor

Location

India , Noida

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

15+ years of progressive experience in enterprise endpoint management with at least 8+ years in senior/lead roles
Minimum 10 years of hands-on SCCM/MECM administration and architecture experience
Minimum 5 years of Microsoft Intune / Modern Endpoint Management design and delivery experience
Demonstrated experience leading technical teams of 5+ engineers across multi-client delivery contexts
Track record of successful client-facing engagements at Director / VP-IT level
Prior experience in managed services, IT outsourcing, or SI/consulting delivery models preferred
B.E. / B.Tech in Computer Science, Information Technology, or a related engineering discipline
MCA or equivalent postgraduate qualification considered in lieu of engineering degree with commensurate experience

Job Responsibility

Serve as the definitive technical authority for MECM/SCCM CB (Current Branch) design, architecture, and governance across client environments
Lead greenfield SCCM infrastructure deployments, CB upgrade programmes, and site hierarchy redesigns for enterprise-scale clients
Architect and govern Software Update (SUP), Application Management, OS Deployment (OSD), and Endpoint Protection workloads at scale
Define and enforce patch compliance frameworks, WSUS topology, ADR and maintenance window policies aligned to client SLAs
Lead complex OSD and task sequence engineering for Windows 11 migrations, hardware refresh cycles, and golden image pipelines
Govern SCCM boundary, boundary group, and content distribution architecture for geographically dispersed enterprise estates
Act as the escalation authority for all Priority-1/Priority-2 SCCM incidents, driving root cause analysis and permanent resolution
Lead SCCM-to-Intune co-management or full migration engagements — discovery, roadmap development, phased execution, and post-migration stabilisation
Review and approve all significant SCCM change requests (CRs) within client change management processes
Lead Modern Endpoint Management (MEM) architecture across Microsoft Intune for Windows 10/11, iOS, Android, and macOS device fleets

Senior AI Engineering Specialist

Wissen Technology is hiring for Senior AI Engineering Specialist: About Wissen ...

Location

India , Bangalore South

Salary:

Not provided

Wissen

Expiration Date

Until further notice

Requirements

6 – 20 Years of experience
BE/BTech/MBA/MCA or equivalent degree in Computer Science
12+ years of software engineering experience with at least 3 years designing and deploying production GenAI/LLM applications
Experience in Banking, Financial Services, or Capital Markets domain
Strong expertise in Azure AI Foundry, Azure OpenAI, Azure AI Search, Azure AI Document Intelligence, Azure Machine Learning, and Prompt Flow
Hands-on experience building RAG solutions, semantic search, embeddings, vector databases, reranking, retrieval optimization, and evaluation frameworks
Strong experience with Agentic AI, Microsoft Agent Framework (Semantic Kernel/AutoGen), LangChain, LangGraph, tool calling, and multi-agent orchestration
Expert-level Python development including asynchronous programming and prompt engineering
Experience with Snowflake Cortex AI, Microsoft Fabric, Azure Databricks, or similar enterprise data platforms
Strong understanding of LLMOps, observability, CI/CD (Azure DevOps/GitHub), AKS, Azure Functions, App Services, and performance optimization

Job Responsibility

Partner with business and engineering teams to identify, prioritize, and deliver high-impact GenAI use cases based on business value, feasibility, and risk
Design and define enterprise AI architecture using Azure AI Foundry, Azure OpenAI, Azure AI Search, Microsoft Agent Framework, and reusable GenAI patterns
Architect and develop production-ready AI solutions including Retrieval-Augmented Generation (RAG), Agentic AI workflows, prompt orchestration, model selection, grounding, and enterprise integrations
Implement Responsible AI practices by incorporating AI governance, content safety, model evaluation, access controls, auditability, and regulatory compliance
Mentor engineering teams, conduct architecture and design reviews, and establish best practices across LLMOps and enterprise AI development
Build scalable AI platforms with robust evaluation frameworks, observability, monitoring, cost optimization, and CI/CD pipelines
Collaborate with cross-functional teams to improve productivity, accelerate time-to-market, and measure AI solution outcomes against business objectives
Participate in architecture discussions, technical strategy, innovation initiatives, and proof-of-concepts for enterprise AI adoption

Fulltime

Body Weld Engineering Specialist

Location

United States , Chattanooga

Salary:

Not provided

Volkswagen AG

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Electrical, Electronic or Mechatronic Engineering or related field of study and 36 months of experience. Experience must have included
proprietary PLC and robot programming language
automotive body weld experience
lean manufacturing / visual systems
continuous improvement and project management
ergonomic evaluations
quality circles
engineering drafting and modeling software experience. Up to 10% domestic and international travel.

Job Responsibility

Identify requirements for maintenance and production resources to modify body weld systems to improve safety, quality, productivity, and cost
responsible to gain consensus cross-functionally for process improvement opportunities
develop the production process to ensure processes meet safety standards, quality standards, cost targets, environmental and OSHA regulations
coordinate and/or lead projects within the Body Planning team and prioritize activities based upon business needs
create a continuous improvement environment to develop best-in-class production systems
coordinate production trials for model changes
coordinate team members and develop teamwork
coordinate activities with the maintenance team to minimize production delays due to equipment issues
develop systems to meet KPI’s (Key Performance Indicators) and analyze data to monitor performance, plan improvements, and identify potential countermeasure activities
monitor safety, quality, cost, and productivity, and develop improvement activities for assigned areas of production

Fulltime

Senior Specialist Data Science and Predictive Care

The Senior Specialist Data Science & Predictive Care leads data-driven transform...

Location

Congo, the Democratic Republic of the , Kinshasa

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Master's degree in data science, Statistics, Computer Science, Mathematics, Engineering, Information Systems, or related field
4-6 years of experience in Data Analytics, Data Science, Predictive Analytics, Business Intelligence, or Customer Operations Analytics
Experience in telecom industry is highly desirable
Experience working with large datasets and operational analytics
Exposure to AI, Machine Learning, Predictive Care, or Generative AI initiatives is an advantage
Experience working with cross-functional business and technology teams essential

Job Responsibility

Create predictive models to forecast customer actions, churn, repeat calls, fraud, and service issues
Build machine learning frameworks for proactive customer care
Design segmentation models for personalized engagement
Develop anomaly detection for monitoring and fraud management
Use statistical and AI methods to pinpoint root causes of customer pain and inefficiency
Support Generative AI and LLM applications in customer operations
Develop scoring and recommendation engines to boost engagement and decisions
Drive proactive customer care initiatives through real-time analytics and predictive intelligence
Identify customer issues before escalation and recommend preventive actions
Enable intelligent customer treatment strategies based on behavioral and operational insights

Specialist Data Warehouse Developer

We are seeking a skilled and passionate Data Modeler / Data Engineer / ETL Devel...

Location

Spain , Madrid

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Solid experience in data modeling techniques (3NF, star/snowflake schemas, data vault) and data architecture best practices
Proficiency in SQL
Experience in metadata management, data lineage, and governance practices
Proficient in developing ETL/ELT pipelines using modern frameworks (e.g., SQL Procedures, dbt, Dataflow)
Experience with cloud data platforms, preferably Google Cloud Platform (GCP)
knowledge of BigQuery, Teradata, Oracle
Familiarity with CI/CD pipelines using tools such as Jenkins, GitHub Actions, or GitLab CI
Hands-on with data preparation and profiling tools (e.g., Talend, Trifacta, Collibra)
Experience working in Agile/Scrum
Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field

Job Responsibility

Analyze business requirements and translate them into effective data models and technical designs
Design and maintain conceptual, logical, and physical data models DWHs
Build and manage scalable, reliable, and secure data pipelines (ETL/ELT) in hybrid and cloud environments
Ensure data consistency, integrity, and quality across data platforms
Collaborate closely with data architects, analysts, and software developers to deliver end-to-end solutions
Continuously optimize data flows for performance and cost-efficiency

What we offer

Hybrid work model
Bonus on top of the gross salary
Meal voucher (Ticket Restaurant)
Flexible working hours from Monday to Thursday, and an intensive schedule on Fridays
Intensive Summer Schedule during July and August
Up to 20 days per year of 100% remote work from other locations
Private Health and Life Insurance for employees
25 vacation days, plus December 24th and 31st off
Optional Pension Plan
Access to an online learning platform for continuous training

Fulltime

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Data Modeling & Engineering Specialist

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