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  • Posted: Oct 19, 2022
    Deadline: Not specified
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    Accenture solves our clients' toughest challenges by providing unmatched services in strategy, consulting, digital, technology and operations. We partner with more than three-quarters of the Fortune Global 500, driving innovation to improve the way the world works and lives. With expertise across more than 40 industries and all business functions, we deliver...
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    GCP Data Architect Senior Manager

    Job Description
    About Accenture  

    Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions — underpinned by the world’s largest delivery network — Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With 699,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at www.accenture.com.

    Role Expectations:

    • Work with the customer, users, technical architect and application designers to define the high level data requirements and structure for the application
    • Model and design the application data structure, data layers and interfaces
    • Lead database analysis, design and build effect
    • Work with the integration solution architects and designers to design the integration solution
    • Ensure that the database designs fulfil the requirements including data volume, frequency needs and long term data growth
    • Assist in determining the cross application data standards , data distribution standards and tuning strategies

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    Qualifications

    • Typical skills: Technical / Enterprise Architecture, Data Architecture, Data Integration Patterns, Complex Event Processing, Big Data Analytics Automation
    • Must be experienced with at least one hyper-scaler data services and knowledge/experience with GCP would be an added advantage.
    • Equal Employment Opportunity Statement

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    REPL Group - Lead Data Engineer

    Job Description
    If you're looking for your new, bigger and better job opportunity as a Lead Data Engineer, you've come to the right place. Rather than just going into detail about what you'll be doing and what we're looking for (which we’ll cover further on), we know it's just as important to find out about the community you'll be joining, the work you’ll get up to and most importantly, how we have fun.

    Please note, as is the nature of a Consulting organisation, our recruiting demands often change. Due to this, we are nimble in our recruiting approach and may not always have active career opportunities for your specific skill set. Our recruiting team will be in touch regardless to advise of opportunities within REPL Group.

    Your new role:

    • Provide technical input to system and software architecture design activities.
    • Work closely with the data science team to develop a robust interface framework for the algorithms.
    • Produce technical documentation covering software requirements, design specifications and test specifications.
    • Develop high quality maintainable software features in accordance with the software process.
    • Develop and implement sustainable developer test strategies to verify and validate software features.
    • Investigate and fix issues in new and existing software/features.
    • Produce prototype software features to demonstrate concepts and ideas.
    • Support software platform deployments.
    • Produce/update software process documentation.
    • Investigate and deploy new software development tools to support software development.

    Where can my career go?

    We care about your career, so at REPL you will have the opportunity to learn on the job. We offer a remarkable range of training opportunities, so by joining us as a Lead Data Engineer, there are opportunities to become an expert in your area of specialism or broader in the world of Data Engineering across our delivery practices & within Accenture. Not sure how this fits in? Talk to us about this in your first stage interview. The opportunities are endless as your growth is up to you, supported by your Line Manager.

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    Qualifications
    What we’re looking for in you:

    • Strong academic background i.e., bachelor’s level in degree in Computer Science, Software Engineering or similar.
    • System level thinker who can quickly understand and solve complex technical problems.
    • Demonstrable commercial big data engineering experience.
    • Experience of applying object-oriented design principles.
    • Strong Python experience.
    • Strong experience with Big Data such as Spark/Glue/DataBricks
    • Keen to utilise up-to-date software development practices.
    • It would also be great if you had / a desire to learn about:
    • DevOps platforms such as Azure DevOps etc
    • DevOps delivery experience including the use of automation tools and containerisation to deliver CI/CD pipelines.
    • Build tools and scripting experience in YAML, Bash, PowerShell etc
    • Commercial experience using CDK, Cloud Formation or SAM, AWS Step Function, Azure pipelines, CGP.
    • Object oriented development experience
    • Experience with Agile project management tools such as Jira, Azure Boards etc
    • Commercial experience of monitoring, maintaining, and scaling AWS hosted infrastructure
    • Experience of working in an Agile development environment.
    • Experience of test-driven development.
    • Experience of developing and applying automated tests.
    • Experience of utilising a continuous integration approach to software development.
    • Experience of software containers e.g., Docker.
    • Experience of working with mobile application developers and integrating mobile applications with web services.
    • Experience of applying UML to describe software designs.
    • Experience of integrating software and hardware.
    • Comfortable working with different software processes.

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    Technology Solution Architect

    Job Description

    Purpose of the Job:

    The Solution Architect is responsible for supporting the Systems Integration (SI) and Application Outsourcing (AO) sales process by doing Sales Support for the Technology team(s) and / or Client Group (CG) team(s) to ensure that solutions proposed to clients meet the client’s needs and expectations, but can also be delivered in a reliable and predictable way.

    This frequently requires balancing competing priorities, using innovative commercial and technical approaches to minimise risk and to meet challenging business cases.  This means that the Solution Architect needs to demonstrate creativity and diplomacy, as well as more traditional technical, project management and commercial skills. 

    The Solution Architect needs to act as a single point of contact (SPOC) for the opportunity throughout the sales process. This involves coordinating between Technology, CG, Bid team, Global Delivery Network (GDN) solution architect(s), subject matter experts (SME’s), reviewers and approvers to ensure a winning, differentiated, deliverable and approved solution.

    Primary Responsibilities

    • Engage with appropriate Accenture organisation areas to fully leverage their assets (Accenture Technology Labs, AO/ITO solutions, assets and tools, capability groups, Global Delivery Centre Network, etc.) when pursuing opportunities.
    • Understand and translate buyer values and requirements into the solution approach, leveraging standard processes, methods, deliverables, and the right mix of offerings.
    • Define a differentiated solution that achieves the greatest value (using Accenture’s 360-degree value meter) for the client and gives the client a high level of confidence about the solution.
    • Manage the interface with the Technology sales team during the sales process and Delivery by ensuring regular communication and close collaboration with the sales team. Provide input to the sales team on how the solution may influence the sales campaign, pricing, and negotiation strategy.
    • Lead/Participate in a team to plan, execute and manage the solution in response to a client requirement/RFP. This involves the coordination of various stakeholders across sales, delivery and CGs.
    • Participate and/or lead solution discussions and client meetings related to technology solution or platform(s) (SAP S/4 or Oracle cloud or Salesforce, etc.) differentiation solution proposed to the client.
    • Shape the commercial proposition by working with Corporate Transaction Services (CDTS) or other responsible areas to develop the underlying economics of the solution.
    • Provide the underlying costs associated with the solution and ensure CDTS has the necessary detail to plug into a model that accurately determines the profitability for Accenture, alternatively complete the Pricing inputs in MMP in situations where CDTS is not involved in the commercials. 
    • Work with Legal and Commercial department to ensure use of standards and adherence for internal compliance. Collaborate with the CSG’s to provide input to contractual Terms and Conditions.
    • Manage solution risk assessment through active issue management and risk mitigation.
    • Contribute to Solution specific content for Response or Proposal material.
    • Support creation of (and review) contract schedules.
    • Obtain the necessary signoff and compliance of the solution with proper input from the Technology and CG Leads on client business objectives, industry, risk assessment, budget, and preferences, and as  an SME you are required to educate the deal team on Accenture’s internal sales and approval process.
    • Lead and/or participate discussions around Client Value Creation, Innovation, Solution Differentiation and provide solution details during orals sessions.
    • Confirm artifacts developed during the Solutioning and ensure they are uploaded according to the defined processe(s).
    • Effectively transition the Solution Plan to the appropriate teams within the Delivery Platforms, including Service Delivery and Mobilisation.

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    Qualifications
    Professional experience and other requirements

    • 10+ years of experience in the Information Technology industry, with minimum experience of technology consulting, technology solutioning, technology sales in application services (system integration, application outsourcing, cloud advisory) experience.
    • At-least 5 years of extensive selling/pre-sales/solutioning experience in client proximity.
    • Experience in developing Statements of Work / Project Charters / Contract Schedules (recommended)
    • Experience and Knowledge of different commercial Structures and deal shapes (recommended)
    • Solution planning and configuration experience (recommended)
    • Industry exposure (at least in one industry) in driving business value through consultative approach and thought leadership
    • Willingness to be mobile and meet client travel requirements
    • Willingness to work flexible hours to meet proposal deadlines

    Skills and Capabilities

    • Ability to build trusted relationships with Client CXOs/SVPs Eco-system partners.
    • Excellent oral and written communication skills.
    • Independence and self-motivation.
    • Ability to coordinate a distributed and diverse team.
    • Attention to detail attitude.
    • Knowledge and experience in financial analysis and costing.
    • Industry-specific solution knowledge and knowledge (ability to build knowledge) of Accenture offerings, assets and capabilities (recommended).

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    REPL Group - Senior Data Scientist

    Job Description

    If you're looking for your new, bigger and better job opportunity as a Senior Data Scientist, you've come to the right place. Rather than just going into detail about what you'll be doing and what we're looking for (which we’ll cover further on), we know it's just as important to find out about the community you'll be joining, the work you’ll get up to and most importantly, how we have fun.

     Please note, as is the nature of a Consulting organisation, our recruiting demands often change. Due to this, we are nimble in our recruiting approach and may not always have active career opportunities for your specific skill set. Our recruiting team will be in touch regardless to advise of opportunities within REPL Group.

    Your new role:

    • Data analysis using either an exploratory or hypothesis driven approaches
    • Predictive modelling using machine learning techniques such as generalised linear models and Bayesian inference, and Deep Learning
    • Work side-by-side with clients to provide bespoke data science consultations
    • Contribute to the development, and ongoing improvement of our in house platforms
    • Provide data science expertise and support as required to the wider organisation

    Where can my career go?

    • We care about your career, so at REPL you will have the opportunity to learn on the job. We offer a remarkable range of training opportunities, so by joining us as a Data Scientist, there are opportunities to become an expert in your area of specialism or broader in the world of Data Science across our delivery practices & within Accenture. Not sure how this fits in? Talk to us about this in your first stage interview. The opportunities are endless as your growth is up to you, supported by your Line Manager.

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    Qualifications
    What we’re looking for:

    • Strong related academic background i.e. Masters level degree in numerate subject, preferably data science
    • Theortical knowledge of classical statistical methods, bayesian learning, and neural networks, and its application to machine learning techniques
    • Strong Python/R experience
    • Demonstrable experience with RStudio or Jupyter notebooks
    • Keen to utilise up-to-date software development practices
    • Good communications skills, verbal and written
    • Self-starter, happy to work alone or as part of a team
    • Willing to occasionally work off-site at supplier or customer sites

    It would also be great if you had / a desire to learn about:

    • Experience within retail
    • Experience with Tensor Flow
    • Experience of Hadoop
    • Experience with high level software language such as Scala, Java or C#
    • Experience of working in an Agile development environment
    • Experience of utilising a continuous integration approach to software development
    • Experience of software containers e.g. Docker
    • Comfortable working with different data science tools

    Method of Application

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