Analytics Data Platform SME
Vodafone
Ratingen, Germany
16 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source
Tech stack
Agile Methodology
Amazon Web Services
Artificial Neural Networks
Information Systems
Computer Programming
Databases
Continuous Delivery
Data Infrastructure
Extract Transform Load (ETL)
Data Warehousing
Linux
DevOps
+15 more
Apache Hadoop
Python (Programming Language)
Machine Learning
Natural Language Processing
Neo4j
Open Source Technology
Scrum Methodology
Cloudera
SQL Databases
Tableau (Software)
Teradata SQL
Snowflake
Information Technology
Data Analytics
Data Management
Job description
The Analytics Data Platform SME is accountable for the DevOps approach to design, develop, optimise and operation of Vodafone’s managed Data Platforms and Data Movement within budget and SLAs. What you will do:
- Accountable for delivering, developing operating and optimizing Data Platforms incl related infrastructure, network, databases and tooling. Drive the support and enable the development and operations of Data modules and solutions for all Local Markets and Group Functions
- Responsible for creating and reviewing Data platform solution designs and use cases, taking any necessary action to mitigate the impact associated with the infrastructure on/off-premises.
- Drive the development lifecycles for monitoring, maintaining, capacity planning, availability, and performance of the Data Platform solutions against SLAs from a level two and level three support perspective
- Accountable for providing specialist support for Mission Critical Data platforms and infrastructure incl level two and level three incident and problem management
- Lead the technical discussions with Data Platform service providers (on/off-prem) and manage Vodafone dependencies on lifecycle management, security/audit adherence. Ensure Vodafone is achieving the full value from its Data Platform investments.
- Manage the design and implementation of the supporting teams (Security/Architecture) to ensure on-time delivery and budget of Data Platforms aligned to the latest strategic goals (Fiscal and technological).
- Determine user and technical story impact on existing architecture, work processes and systems, Belonging at Vodafone isn’t a concept; it’s lived, breathed, and cultivated through everything we do. You’ll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. We’re committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included. If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to https://careers.vodafone.com/application-adjustments/ for guidance.
Requirements
- Master’s or Bachelor’s Degree or technical institute certificate in Computer Science, Information Systems or other related field
- Able to demonstrate proven track record of work experience in designing, developing, deploying and / or administering Analytical solutions
- Comprehensive working knowledge of current and emerging Data Analytics, Data Platforms, Data Warehousing Technologies such as Cloudera, Teradata Vantage, Tableau, Snowflake etc.
- Experience working with analytical programming and data modelling using SQL, Machine Learning, Natural Language Processing (NLP), Deep Neural Networks (DNN) and Python
- Experience with working closely in a team/squad/tribe using agile methodologies Scrum and/or Kanban, practicing DevOps and Continuous Delivery / Integration
- Extensive experience and proven track record in Data Platforms and Analytical toolstack at Enterprise scale.
- Senior Specialist skills in:
o Data Platform deployments on-prem and public cloud (GCP, AWS) o Analytical technologies both Enterprise and OpenSource e.g. (Cloudera, Teradata, Tableau, Hadoop, Neo4J). o Analytical techniques/models incl Machine Learning, Data Modelling and Visualisation
- At least two or more Analytical programming and scripting languages, e.g. SQL, Python, Linux
- Data Driven evidenced through strong creativity, analysis, and problem solving skills. Utilise Data/Visualisation techniques to illustrate issues and challenges.
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