דרושים Private Pricing Analytics Lead Ppal ב-אמזון ב-United Kingdom, London

Key job responsibilities
As an experienced technology professional, you will be expected to:2. Lead internal initiatives to deliver quantifiable impact
3. Develop strategic relationships with internal and external leaders
4. Design and implement complex, scalable, and secure AWS solutions tailored to customer needs
5. Enable and engage delivery partners in project delivery
6. Provide mentorship and coaching to develop others
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 5+ years of experience in cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 3+ year(s) of experience in IT security, compliance, or risk management
- 5+ years experience in technology automation, implementation, integration, and/or deployment

- AWS experience preferred, with proficiency in a wide range of AWS services (e.g. EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- AWS Professional level certifications (e.g. Solutions Architect Professional, DevOps Engineer Professional) preferred
- Experience with automation and scripting (e.g. Terraform, Python)
- Knowledge of security and compliance standards (e.g. HIPAA, GDPR)
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
- Work experience in any of the following industries: financial services (banking, capital markets, payments, insurance, or other segments), automotive, telecommunications, healthcare, life sciences, energy, media & entertainment, or manufacturing.
- Hands-on technical expertise in building security capabilities in code, deploying infrastructure as code, and implementing enterprise security solutions (e.g. WAF, IPS, Anti-DDOS, SIEM)

Welcome to the future of engineering - step into a world where innovation happens at an extraordinary scale. Our fulfilment centers are like living, breathing cities of automation, where:- Advanced AI and machine learning systems make real-time decisions
- Revolutionary conveyor systems spanning miles move packages at lightning speed
- Cutting-edge robotic arms handle packages with incredible precision
- Smart sensors and vision systems guide operations with pinpoint accuracy
- Ground-breaking automated storage and retrieval systems redefine efficiencyAs an Automation Apprentice within our Reliability Maintenance Engineering (RME) team, you'll be hands-on with technology that most people only read about. You'll work alongside industry experts who are pushing the boundaries of what's possible in automation. This isn't just maintenance - it's about being part of a team that innovates, improves, and reimagines automation technology every single day.
Key job responsibilities
- Supporting maintenance and fault-finding on automated systems and robotics
- Using diagnostic tools to keep conveyors and sortation equipment running smoothly
- Planning preventative maintenance and safety checks
Throughout your apprenticeship, you'll gain both theoretical knowledge and hands-on experience with:
- Advanced robotics systems and controls
- Industrial automation programming
- Smart sensor technology and IoT integration
- Predictive maintenance systems
- Data analytics and performance optimization- Industry 4.0 technologies
- Machine learning applications in automationWithin this 48 month programme, you will work towards the Level 6 Control Technical Support Apprenticeship, combining practical, on-the-job experience with industry-recognised study. Your first 12 months will be a full-time residential programme based either at one of our external training provider facilities or at our own world-class Amazon training centres - reflecting our significant investment in developing state-of-the-art facilities for the next generation of engineers. If you live outside of a commutable distance, accommodation will be provided during term time for these first 12 months, and travel expenses will be supported. In later years you will have on-the-job training working towards a BSc in Controls and Automation Engineering and an HNC/D in Electrical/Controls Engineering. You'll support our 24/7 operation in shift covering days, nights and weekends in patterns that reflect the real-world schedules of engineers who keep Amazon operating around the clock.We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship, and other career-advancing resources here to help you develop into a better-rounded professional.

- To qualify for this programme, you must:
- Be 18 years or over before the start date (September 2026)
- Have the right to live and work in England (if you are on a visa, this needs to enable you to legally work and reside in England for the entire duration of the programme until September 2030).
- Have lived in the UK or in the European Economic Area (EEA) for the last 3 years
- Be a resident of the UK for the entire duration of the programme
- Not be registered to study on a UK government funded course ending August 2026 or later
- Have at least 5 GCSEs C grade (grade 4) or above including Maths and English
- Three A levels (or equivalent) at C (grade 4) or above in either Mathematics, IT, Physics, or an Engineering related subject, OR have completed a BTEC level 3 engineering qualification of 180 credits which must include further mathematics
- Please note, if you have received educational qualifications outside of the UK then we will require a Statement of Comparability to confirm your eligibility for the scheme. Please ensure you obtain one during the application process, through UK ENIC: https://www.enic.org.uk/
- Previous qualifications will be reviewed for funding eligibility and offers are subject to funding approval
- PLEASE NOTE: This position is a 48-month fixed-term contract. You must NOT already have a qualification in a similar subject at the same or higher level than this apprenticeship.
- This Apprenticeship assumes the candidate has little or no knowledge/experience of the occupation and is NOT suitable for candidates who already have a similar or higher-level qualification in the same or similar subject of the apprenticeship.

- You have a maintenance or Engineering HNC/D qualification - ideally with a PLC, automation, electronics or electrical bias

This role can be based in Amsterdam, Madrid, Munich, Milan, Paris, Stockholm, Zurich, or London.As a Private Equity Solutions Architect, you will work directly with Private Equity firms, their portfolio companies, and consulting partners to help them adopt new technologies and build new solutions to make the most of the Cloud. You will be at the crossroads of business and technology, engaging with organisations at all stages of cloud adoption. You will provide thought leadership in terms of looking beyond the technology and considering the value that technology creates for our customers. You will practice your creativity by linking technology to tangible solutions and business outcomes. You will educate PE firms and their portfolio companies about the art of the possible, defining and developing cloud-native reference architectures for a variety of use cases. You will have the opportunity to present publicly at AWS conferences and industry events.The Private Equity Solutions Architecture team is a diverse group of technologists from a variety of backgrounds. Practical knowledge of the AWS platform is desired but not required, provided you have a balanced technical foundation and a desire to learn. You will develop deep expertise in AWS technologies, as well as a broad set of tools and methodologies of how applications and services are constructed using the AWS platform.AWS Global SalesKey job responsibilities
- Scoping and understand specific use cases to design appropriate AWS-based technical solutions (including, integrations with third party solutions).- Evangelize and educate key stakeholders with the Private Equity ecosystem about AWS technologies.- Create and capture best practices, technical content and new reference architectures (e.g. white papers, code samples, blog posts).- Contribute to the growth of the Solutions Architecture organization by hiring, coaching and mentoring others.About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS
Work/Life BalanceMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Key job responsibilities
• Lead a team of Sales Operations Managers and analysts to Develop key sales support systems/processes required to meet the rapid growth of the business and achieve revenue attainment and market segment development objectives
• Partner closely with the Sales Leadership to report, analyze and measure progress against goals.
• Develop relationships and work with sales, partner, sales operations, and other stakeholders to create and refine the tools and processes needed to drive strategic programs.
• Lead the local planning process and run the operational cadence of activities, such as Quarterly and Monthly business reviews, Segmentation, Territory/Account Planning, Operational Planning and Offsite strategy workshops.
• Support the evolution, integration, and implementation of sales systems and processes to meet the rapid growth of the business and it's revenue attainment and market segment development objectives.
• Evaluate and research various data sets to provide deep insights and recommendations and prepare ad hoc analysis as needed. Provide actionable intelligence with existing metrics or identify, develop and propose new metrics.
• Lead quota planning, headcount, and execution of initiatives.
• Manage the development of continuously-evolving forecast models and methodologies, owning the quantitative analysis of the performance of our sales team, to improve Sales Excellence and productivity.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

• Bachelor’s degree or equivalent experience
• Extensive professional work experience in sales operations and strategy, financial planning and reporting, business analysis, business intelligence
• Experience leading planning and analysis for large organizations
• Experience gathering business requirements and developing scorecards and dashboards to surface meaningful KPIs and actionable intelligence to senior leaders
• UK Government Security Clearance is required for this role (https://www.gov.uk/government/publications/united-kingdom-security-vetting-clearance-levels) UK Nationality is required for this role

• Experience leading cross-functional teams
• Experience driving data-driven recommendations and suggestions
• Experience extrapolating trends from large disjointed data sets
• Possess the ability to think strategically about business challenges and execute at a tactical level
• Strong ability to multi-task and prioritize
• Ability to hire and develop high performing teams
• Excellent interpersonal skills, with the ability to clearly communicate strategies and excellent planning, presentation and organization skills

The leader will own developing new programs and initiatives such as a front-end experience for full-funnel advertising across Sponsored Products and Sponsored Brands - bridging upper, mid, and lower funnel SP and SB products, and LLM based solutions to simplify advertiser inputs and improve campaign outcomes through deeper advertiser understanding.

- 8+ years of applied science, technical product management, program management or engineering experience
- Experience with end to end product delivery
- Experience leading engineering discussions around technology decisions and strategy related to a product
- Experience owning roadmap strategy and definition
- Experience owning feature delivery and tradeoffs of a product

- Masters Degree in Computer Science, Engineering or a related field

Key job responsibilities
o Analyze and solve problems at their root, stepping back to understand the broader context
o Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
o Write high quality code to retrieve and analyze data

- Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

You will enjoy building and expanding your technical skills, and using these to help customers understand how to architect and implement systems and applications. You will be comfortable working alongside partners, including systems integrators and Independent Software Providers (ISVs), to deliver the best possible customer outcomes. You will be happy to roll-up your sleeves, and guide customers deconstruct ambiguity.
Responsibilities include:- Solutions - Demonstrated consulting skills, ideally through previous roles and delivery of on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding and extracting customer requirements, creating consulting proposals and packaged data solution offerings, and supporting commercial negotiations- Delivery - Engagements will include onsite projects delivering custom Data and AI solutions, and proving the use of AWS data and AI services. Strong verbal and written communication skills, with the ability to work effectively across internal and external organisations.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- Strong experience in building large scale machine learning or deep learning models and in Generative AI model development
- Experience in data and machine learning engineering and cloud native technologies
- Strong experience communicating across technical and non-technical audiences
- Strong experience facilitating discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigation
- Eligibility for the UK Security Clearance

- Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science
- Knowledge of the primary AWS services (ec2, elb, rds, route53 & s3)
- Experience with software development life cycle (sdlc) and agile/iterative methodologies
- Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet