72 Efficiency Improvement jobs in the United Kingdom

The Role:

The purpose of the role is to assist in the development, implementation, and sustainability of capable methods of manufacturing, including process improvements, problem solving, re-engineering, and delivering capital investments.

Main Responsibilities:

• Contribute and support the development and implementation of the best practice manufacturing vision, strategies, processes, and procedures to aid and improve operational performances.
• Identify business improvement opportunities in line with best practice within the industry.
• Develop the manufacturing capability and technology to ensure delivery of products that meet the product specifications and customer expectations.
• Active involvement on the Maintenance Excellence Program of plant and equipment to improve asset performance.
• Assist in the Failure Mode Effect Analysis program and ensure accurate upkeep and deployment at all times.
• Drive process improvements on Overall Equipment Effectiveness (OEE) by appropriate data analysis and through problem-solving techniques with root cause established.
• Ensure all activities are carried out in accordance with all HSE policies and procedures to ensure the safety and wellbeing of all staff and visitors
• Ensure contractors on site meet and adhere to legal and company requirements
• Maintain a clean and tidy workplace in relation to set standards.
• Work as part of the Operational Excellence Team to share ideas, improve operations, recommending, supporting and implementing continuous improvement activities, process and procedure improvements to optimise and improve machine efficiency and reduce breakdowns, in line with Company and customer requirements.
• Collaborate with all departments, to align continuous improvement initiatives and continue development of performance
• Develop and maintain strong and effective relationships with internal and external stakeholders to ensure optimal performance.
• Recommend solutions without compromising on quality or service whilst optimising cost
• Stay current and up to date on technical knowledge to enable effect solutions.
• Contribute to new business initiatives and projects
• Participate in the delivery of capital investment projects
• Investigate and develop the potential use of AI within the business to support continual operational improvements

Knowledge, skills and experience required:

• Possesses a solid secondary education, including Maths and English
• HND or equivalent, with experience of working in a Manufacturing Engineer role or Foundation degree with some practical experience
• Previous experience working in a maintenance and/or engineering role
• Knowledge of relevant Engineering & Manufacturing standards and HSE regulations
• Strong data analytical skills
• Experienced in the use of problem-solving tools and techniques

The Role:

The purpose of the role is to assist in the development, implementation, and sustainability of capable methods of manufacturing, including process improvements, problem solving, re-engineering, and delivering capital investments.

Main Responsibilities:

• Contribute and support the development and implementation of the best practice manufacturing vision, strategies, processes, and procedures to aid and improve operational performances.
• Identify business improvement opportunities in line with best practice within the industry.
• Develop the manufacturing capability and technology to ensure delivery of products that meet the product specifications and customer expectations.
• Active involvement on the Maintenance Excellence Program of plant and equipment to improve asset performance.
• Assist in the Failure Mode Effect Analysis program and ensure accurate upkeep and deployment at all times.
• Drive process improvements on Overall Equipment Effectiveness (OEE) by appropriate data analysis and through problem-solving techniques with root cause established.
• Ensure all activities are carried out in accordance with all HSE policies and procedures to ensure the safety and wellbeing of all staff and visitors
• Ensure contractors on site meet and adhere to legal and company requirements
• Maintain a clean and tidy workplace in relation to set standards.
• Work as part of the Operational Excellence Team to share ideas, improve operations, recommending, supporting and implementing continuous improvement activities, process and procedure improvements to optimise and improve machine efficiency and reduce breakdowns, in line with Company and customer requirements.
• Collaborate with all departments, to align continuous improvement initiatives and continue development of performance
• Develop and maintain strong and effective relationships with internal and external stakeholders to ensure optimal performance.
• Recommend solutions without compromising on quality or service whilst optimising cost
• Stay current and up to date on technical knowledge to enable effect solutions.
• Contribute to new business initiatives and projects
• Participate in the delivery of capital investment projects
• Investigate and develop the potential use of AI within the business to support continual operational improvements

Knowledge, skills and experience required:

• Possesses a solid secondary education, including Maths and English
• HND or equivalent, with experience of working in a Manufacturing Engineer role or Foundation degree with some practical experience
• Previous experience working in a maintenance and/or engineering role
• Knowledge of relevant Engineering & Manufacturing standards and HSE regulations
• Strong data analytical skills
• Experienced in the use of problem-solving tools and techniques

Operational Excellence Manager

Caerphilly

26740/611

45,000 plus bonus, health programme, pension and more.

Package:

• A starting salary of up to 45,000
• Company bonus scheme
• Health and Well Being Programme
• Company pension scheme

Based in South Wales, this well-established business supplies trusted fire safety equipment and systems to professionals across the country. With a strong reputation for quality, innovation, and service and a team that values reliability, growth, and doing things the right way, it's the perfect place to build a career with purpose.

Role & Responsibilities:

As an Operational Excellence Manager, you will be responsible for improving the operational efficiency, utilisation, and performance across the business. You will lead transformational projects using lean and operational tools such as: 5S, Value Stream Mapping, Kaizen, short interval control and change management. The role involves analysing production, wastage, and other performance data streams to prioritise, plan and action process improvement projects.

• Develop and implement operational transformation plans and site performance improvement plan (PIP) strategies that optimise production processes, reduce waste, and improve product quality.
• Develop, shape, and deploy SOPs and standard work within Operations.
• Managing operational budgets by analysing and identifying areas of cost savings whilst maintaining quality and safety standards.
• Working closely with cross-functional teams to lead process improvement initiatives such as structured problem-solving events and workshops, including team Kaizen events. Execute improvement activities like 5S, Value Stream Mapping events and Kaizen workshops.
• Develop a Continuous Improvement culture throughout the business including training, coaching and delivery of CI initiatives.

Knowledge, Skills & Experience:

• A minimum 3 to 5 years' experience in process improvement, quality management, and/or operations management within manufacturing or warehousing environments, of which at least 1-2 years are in operational excellence, lean six sigma or a management role.
• Proven experience in lean and transformation processes using tools and methodologies such as 5S, VSM, Lean Six Sigma, Root Cause Analysis, Statistical Process Control and in running Kaizen workshops.
• Strong project management skills
• Bachelor's degree in engineering, operations management, or a related field.
• Six Sigma/Kaizen/Lean Six Sigma (ideally Green belt)

If you are interested in more information, please contact Sam Paynter.

If you are interested in this position please click 'apply'.

Hunter Selection Limited is a recruitment consultancy with offices UK wide, specialising in permanent & contract roles within Engineering & Manufacturing, IT & Digital, Science & Technology and Service & Sales sectors.

Please note as we receive a high level of applications we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010.

For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.

OPEX Manager (Operational Excellence; Continuous Improvement)

ALPLA UK

Regional role covering all UK sites (Based at Golborne site + UK Travel Commutable to WA3)

From £55,000 + Car Allowance: Comprehensive Benefits Package, Development Opportunities + Annual Bonus

At ALPLA, we stand for high-quality plastic packaging throughout the world. Around 22,000 colleagues produce quality packaging for foods.

WHJS1_UKTJ

Operational Excellence Manager

Caerphilly

26740/611

£45,000 plus profit share scheme (15% of salary), health programme, pension and more.

Package:

• A starting salary of up to £5,000
• Profit Share Scheme - up to 15% of salary
• Health and Well Being Programme
• Company pension scheme

Based in South Wales, this well-established business supplies trusted fire safety equipment and systems to professionals across the country. With a strong reputation for quality, innovation, and service and a team that values reliability, growth, and doing things the right way, it's the perfect place to build a career with purpose.

Role & Responsibilities:

As an Operational Excellence Manager, you will be responsible for improving the operational efficiency, utilisation, and performance across the business. You will lead transformational projects using lean and operational tools such as: 5S, Value Stream Mapping, Kaizen, short interval control and change management. The role involves analysing production, wastage, and other performance data streams to prioritise, plan and action process improvement projects.

• Develop and implement operational transformation plans and site performance improvement plan (PIP) strategies that optimise production processes, reduce waste, and improve product quality.
• Develop, shape, and deploy SOPs and standard work within Operations.
• Managing operational budgets by analysing and identifying areas of cost savings whilst maintaining quality and safety standards.
• Working closely with cross-functional teams to lead process improvement initiatives such as structured problem-solving events and workshops, including team Kaizen events. Execute improvement activities like 5S, Value Stream Mapping events and Kaizen workshops.
• Develop a Continuous Improvement culture throughout the business including training, coaching and delivery of CI initiatives.

Knowledge, Skills & Experience:

• A minimum 3 to 5 years' experience in process improvement, quality management, and/or operations management within manufacturing or warehousing environments, of which at least 1-2 years are in operational excellence, lean six sigma or a management role.
• Proven experience in lean and transformation processes using tools and methodologies such as 5S, VSM, Lean Six Sigma, Root Cause Analysis, Statistical Process Control and in running Kaizen workshops.
• Strong project management skills
• Bachelor's degree in engineering, operations management, or a related field.
• Six Sigma/Kaizen/Lean Six Sigma (ideally Green belt)

If you are interested in more information, please contact Sam Paynter.

If you are interested in this position please click 'apply'.

Hunter Selection Limited is a recruitment consultancy with offices UK wide, specialising in permanent & contract roles within Engineering & Manufacturing, IT & Digital, Science & Technology and Service & Sales sectors.

Please note as we receive a high level of applications we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010.

For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.

Job Tenure: Permanent Salary: 000 - 5000 per annum + bonus, health programme and pension Location: Caerphilly,

Description

Disrupting the way Amazon fulfills our customersu2019 orders.



Amazon operations is changing the way we improve Customer Experience through flawless fulfillment focused on 1) successful on-time delivery, 2) at speed and 3) at the lowest possible cost. Being the engine of Amazon Operational excellence, driving zero defects through ideal operation, being the heart of the Fulfillment network and its center of excellence, being proactive and aspiring for zero defects across the network with 100% organizational engagement.



We are seeking an experienced, self-driven, and strategic Sr. Business Intelligence Engineer (BIE) with superior data modeling and analytical skills. This position is critical in building scalable and generic data models that power our global operational excellence initiatives. You will be part of a dynamic team, working alongside Applied Scientist, Software development engineer and Data engineers all close to the business with Performance Management Leads part of the same team.



In this role, you will contribute across all layers of our data solution ecosystem. You'll work closely with software development engineers to implement robust data infrastructure solutions, collaborate with product managers to build scalable data models, and dive deep into our data with a strong bias for action to generate insights that drive business improvements. Your work will directly impact Amazon's operational efficiency and customer experience worldwide.



Key job responsibilities

- Translating business requirements into modular and generic data infrastructure, implementing and managing scalable data platforms that facilitate self-service insights generation and scientific model building, and handling large-scale datasets while creating maintainable, efficient data components.

- Design and implement automation to achieve Best at Amazon standards for system efficiency, IMR efficiency, data availability, consistency, and compliance.

- Work within a sophisticated technical environment, you'll interface with various technology teams to extract, transform, and load data from diverse sources using SQL, Amazon, and AWS big data technologies.

- You'll enable efficient data exploration and experimentation on our data platform while implementing appropriate data access control mechanisms.

- Your role will be instrumental in driving operational excellence within the team, building automation and mechanisms to reduce operations overhead, and collaborating with peers in a group of talented engineers.



Strong verbal and written communication skills are essential, as is the ability to deliver high-quality results in a fast-paced environment.



To succeed in this role, you should have extensive experience in data engineering with large-scale systems, expert-level knowledge of distributed systems and big data technologies, and strong programming skills. Experience with real-time data processing and streaming architectures is essential, as is a track record of building systems supporting ML operations at scale.



About the team

GOX team is the engine of Amazon Operational excellence at the heart of the fulfillment network operations, aspiring zero defects. It is our purpose to improve Customer Experience through flawless fulfillment focused on 1) successful on-time delivery, 2) at speed and 3) at the lowest possible cost. Our Solutions support on-time delivery of billions of packages to our customers across the globe leveraging AI & Generative AI technology.



The GOX team has earned recognition for creating tools and systems that drive operational excellence across Amazon's global network. Join us in shaping the future of operational excellence at Amazon, where your work will directly contribute to improving our worldwide operations and customer experience.



GOX team is part of EU STEP org that brings together Supply Chain, Network Design, and Transportation Planning teams to improve end-to-end forecasting, network flow, planning, and execution. It also brings together our teams from across the business focused on our Operational Excellence pillars - Amazon Customer Excellence Systems (ACES), Learning, Quality, Service, Sustainability and Reliability Maintenance Engineering (RME) Field teams. This integration strengthens operations and execution while driving quality improvements and enhanced customer experience across the entire value chain.

Basic Qualifications

- Experience with SQL, data modeling, ETL development, and data warehousing

- Statistical Data analysis experience involving making hypotheses, accessing and prepping data and drawing actionable insights

- Experience with AWS technologies (including Redshift, S3, Lambda etc.)

- Coding experience in at least one modern programming language (Python, Ruby, Scala, Java, etc.)

- Ability to self-direct, multitask, and prioritize a constantly evolving workload.

- Proficient using at least one data visualization product (Tableau, Qlik, Amazon QuickSight, Power BI, etc.)

- Proven ability to meet tight deadlines, multi-task, and prioritize workload.

- Proven ability in Optimizing complex SQL queries.

- Experience working directly with business stakeholders to translate between data and business needs

Preferred Qualifications

- Masteru2019s degree in BI, Finance, Engineering, Statistics, Computer Science, Mathematics, Finance or related field required.

- Experience in designing and delivering cross functional custom reporting solutions.

- Proven ability in implementing BI engineering best practices (e.g. analytical rigor, code quality, data quality, data modelling, operational excellence, automation, visualization).

- Experience with R, Python or other statistical/machine learning software.

- Be self-driven, and show ability to deliver on ambiguous projects.



Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.



Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.



Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region youu2019re applying in isnu2019t listed, please contact your Recruiting Partner.

Description

Disrupting the way Amazon fulfills our customersu2019 orders.



Amazon operations is changing the way we improve Customer Experience through flawless fulfillment focused on 1) successful on-time delivery, 2) at speed and 3) at the lowest possible cost. Being the engine of Amazon Operational excellence, driving zero defects through ideal operation, being the heart of the Fulfillment network and its center of excellence, being proactive and aspiring for zero defects across the network with 100% organizational engagement.



We are seeking an experienced, self-driven, and strategic Sr. Business Intelligence Engineer (BIE) with superior data modeling and analytical skills. This position is critical in building scalable and generic data models that power our global operational excellence initiatives. You will be part of a dynamic team, working alongside Applied Scientist, Software development engineer and Data engineers all close to the business with Performance Management Leads part of the same team.



In this role, you will contribute across all layers of our data solution ecosystem. You'll work closely with software development engineers to implement robust data infrastructure solutions, collaborate with product managers to build scalable data models, and dive deep into our data with a strong bias for action to generate insights that drive business improvements. Your work will directly impact Amazon's operational efficiency and customer experience worldwide.



Key job responsibilities

- Translating business requirements into modular and generic data infrastructure, implementing and managing scalable data platforms that facilitate self-service insights generation and scientific model building, and handling large-scale datasets while creating maintainable, efficient data components.

- Design and implement automation to achieve Best at Amazon standards for system efficiency, IMR efficiency, data availability, consistency, and compliance.

- Work within a sophisticated technical environment, you'll interface with various technology teams to extract, transform, and load data from diverse sources using SQL, Amazon, and AWS big data technologies.

- You'll enable efficient data exploration and experimentation on our data platform while implementing appropriate data access control mechanisms.

- Your role will be instrumental in driving operational excellence within the team, building automation and mechanisms to reduce operations overhead, and collaborating with peers in a group of talented engineers.



Strong verbal and written communication skills are essential, as is the ability to deliver high-quality results in a fast-paced environment.



To succeed in this role, you should have extensive experience in data engineering with large-scale systems, expert-level knowledge of distributed systems and big data technologies, and strong programming skills. Experience with real-time data processing and streaming architectures is essential, as is a track record of building systems supporting ML operations at scale.



About the team

GOX team is the engine of Amazon Operational excellence at the heart of the fulfillment network operations, aspiring zero defects. It is our purpose to improve Customer Experience through flawless fulfillment focused on 1) successful on-time delivery, 2) at speed and 3) at the lowest possible cost. Our Solutions support on-time delivery of billions of packages to our customers across the globe leveraging AI & Generative AI technology.



The GOX team has earned recognition for creating tools and systems that drive operational excellence across Amazon's global network. Join us in shaping the future of operational excellence at Amazon, where your work will directly contribute to improving our worldwide operations and customer experience.



GOX team is part of EU STEP org that brings together Supply Chain, Network Design, and Transportation Planning teams to improve end-to-end forecasting, network flow, planning, and execution. It also brings together our teams from across the business focused on our Operational Excellence pillars - Amazon Customer Excellence Systems (ACES), Learning, Quality, Service, Sustainability and Reliability Maintenance Engineering (RME) Field teams. This integration strengthens operations and execution while driving quality improvements and enhanced customer experience across the entire value chain.

Basic Qualifications

- Experience with SQL, data modeling, ETL development, and data warehousing

- Statistical Data analysis experience involving making hypotheses, accessing and prepping data and drawing actionable insights

- Experience with AWS technologies (including Redshift, S3, Lambda etc.)

- Coding experience in at least one modern programming language (Python, Ruby, Scala, Java, etc.)

- Ability to self-direct, multitask, and prioritize a constantly evolving workload.

- Proficient using at least one data visualization product (Tableau, Qlik, Amazon QuickSight, Power BI, etc.)

- Proven ability to meet tight deadlines, multi-task, and prioritize workload.

- Proven ability in Optimizing complex SQL queries.

- Experience working directly with business stakeholders to translate between data and business needs

Preferred Qualifications

- Masteru2019s degree in BI, Finance, Engineering, Statistics, Computer Science, Mathematics, Finance or related field required.

- Experience in designing and delivering cross functional custom reporting solutions.

- Proven ability in implementing BI engineering best practices (e.g. analytical rigor, code quality, data quality, data modelling, operational excellence, automation, visualization).

- Experience with R, Python or other statistical/machine learning software.

- Be self-driven, and show ability to deliver on ambiguous projects.



Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.



Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.



Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region youu2019re applying in isnu2019t listed, please contact your Recruiting Partner.

Description
Disrupting the way Amazon fulfills our customers' orders.
Amazon operations is changing the way we improve Customer Experience through flawless fulfillment focused on 1) successful on-time delivery, 2) at speed and 3) at the lowest possible cost. Being the engine of Amazon Operational excellence, driving zero defects through ideal operation, being the heart of the Fulfillment network and its center of excellence, being proactive and aspiring for zero defects across the network with 100% organizational engagement.
We are seeking an experienced, self-driven, and strategic Sr. Business Intelligence Engineer (BIE) with superior data modeling and analytical skills. This position is critical in building scalable and generic data models that power our global operational excellence initiatives. You will be part of a dynamic team, working alongside Applied Scientist, Software development engineer and Data engineers all close to the business with Performance Management Leads part of the same team.
In this role, you will contribute across all layers of our data solution ecosystem. You'll work closely with software development engineers to implement robust data infrastructure solutions, collaborate with product managers to build scalable data models, and dive deep into our data with a strong bias for action to generate insights that drive business improvements. Your work will directly impact Amazon's operational efficiency and customer experience worldwide.
Key job responsibilities
- Translating business requirements into modular and generic data infrastructure, implementing and managing scalable data platforms that facilitate self-service insights generation and scientific model building, and handling large-scale datasets while creating maintainable, efficient data components.
- Design and implement automation to achieve Best at Amazon standards for system efficiency, IMR efficiency, data availability, consistency, and compliance.
- Work within a sophisticated technical environment, you'll interface with various technology teams to extract, transform, and load data from diverse sources using SQL, Amazon, and AWS big data technologies.
- You'll enable efficient data exploration and experimentation on our data platform while implementing appropriate data access control mechanisms.
- Your role will be instrumental in driving operational excellence within the team, building automation and mechanisms to reduce operations overhead, and collaborating with peers in a group of talented engineers.
Strong verbal and written communication skills are essential, as is the ability to deliver high-quality results in a fast-paced environment.
To succeed in this role, you should have extensive experience in data engineering with large-scale systems, expert-level knowledge of distributed systems and big data technologies, and strong programming skills. Experience with real-time data processing and streaming architectures is essential, as is a track record of building systems supporting ML operations at scale.
About the team
GOX team is the engine of Amazon Operational excellence at the heart of the fulfillment network operations, aspiring zero defects. It is our purpose to improve Customer Experience through flawless fulfillment focused on 1) successful on-time delivery, 2) at speed and 3) at the lowest possible cost. Our Solutions support on-time delivery of billions of packages to our customers across the globe leveraging AI & Generative AI technology.
The GOX team has earned recognition for creating tools and systems that drive operational excellence across Amazon's global network. Join us in shaping the future of operational excellence at Amazon, where your work will directly contribute to improving our worldwide operations and customer experience.
GOX team is part of EU STEP org that brings together Supply Chain, Network Design, and Transportation Planning teams to improve end-to-end forecasting, network flow, planning, and execution. It also brings together our teams from across the business focused on our Operational Excellence pillars - Amazon Customer Excellence Systems (ACES), Learning, Quality, Service, Sustainability and Reliability Maintenance Engineering (RME) Field teams. This integration strengthens operations and execution while driving quality improvements and enhanced customer experience across the entire value chain.
Basic Qualifications
- Experience with SQL, data modeling, ETL development, and data warehousing
- Statistical Data analysis experience involving making hypotheses, accessing and prepping data and drawing actionable insights
- Experience with AWS technologies (including Redshift, S3, Lambda etc.)
- Coding experience in at least one modern programming language (Python, Ruby, Scala, Java, etc.)
- Ability to self-direct, multitask, and prioritize a constantly evolving workload.
- Proficient using at least one data visualization product (Tableau, Qlik, Amazon QuickSight, Power BI, etc.)
- Proven ability to meet tight deadlines, multi-task, and prioritize workload.
- Proven ability in Optimizing complex SQL queries.
- Experience working directly with business stakeholders to translate between data and business needs
Preferred Qualifications
- Master's degree in BI, Finance, Engineering, Statistics, Computer Science, Mathematics, Finance or related field required.
- Experience in designing and delivering cross functional custom reporting solutions.
- Proven ability in implementing BI engineering best practices (e.g. analytical rigor, code quality, data quality, data modelling, operational excellence, automation, visualization).
- Experience with R, Python or other statistical/machine learning software.
- Be self-driven, and show ability to deliver on ambiguous projects.
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Description

Please note: This job is advertised for UK but can be located in any of our sites or offices across EU/UK.



This is a 12 month Fixed Term Contract.



Global Operational Excellence (GOX) develops the Operational Excellence and drives Amazon growth in a cross-functional environment with Cross Dock and Fulfillment Center Operations, Transportation, Analytics and other stakeholders across the Supply Chain.

GOX is looking for Software Development Engineer who joins us in our quest to give our customers the best fulfillment experience in the world. It is our mission to delight our customers by providing capabilities, tools and mechanisms to fulfillment operations. As OPS DEA SDE, you will be providing resources and expertise for our analysis (statistical approach) as well as Machine Learning products and tool development including their frontend. On top of your internal customers, you will leverage your experience and skills on projects requiring partnership across the org, with a wide range of departments within the company, mainly Amazon Transportation Services (ATS-Sortcenter, -Linehaul), Amazon Logistics and Global transportation services. You will be in close collaboration and interactions with Operations, thus you will need to gain in-depth understanding of product flow and process, all along the distribution chain. The EU OPS DEA team is recognized for its expertise and excellence in creating solutions which improve massively the customer experience. Several of the teamu2019s developments for EU, are rolled out in other regions with some of them becoming worldwide standard. You will work across the entire business, and be exposed to a wide range of functions from Operations, Finance, Technology, and Change management.

As an experienced developer, you will be part of a team that regularly delivers well-tested and reviewed releases and responds quickly to customersu2019 needs. The successful candidate will be able to work with minimal instruction and oversight, manage multiple tasks and support projects simultaneously. Maintaining your relationships with the customers in operations and within the team, while owning deliverables end-to-end is expected. Critical to the success of this role is your ability to work with big data, contribute to the building of solutions both in terms of back- & frontend, develop insightful analysis, communicate findings in a clear and compelling way and work effectively as part of the team, raising the bar and insisting on high standard.



Key job responsibilities

Design, develop and maintain scalable, automated, user-friendly solutions, enabling stakeholders to manage their business and make effective decisions.

Work with program managers and partner with Operations, Finance, Technology, Change Management and Customer Experience teams in understanding the business requirements and implementing solutions to support analytics and reports.

Conduct ad hoc data analysis and data quality investigations.

Implement training and documentation solutions that enables stakeholders to get the most out of our tools.

Develop and support the analytical technologies that give our customers timely, flexible and structured access to their data.



About the team

The Speed and Service Programs team is part of EU STEP (Supply Chain, Transportation Planning & Operational Excellence). Structure aims to deliver greater efficiency, faster execution, and sustainable growth.

The Speed and Service Programs team is responsible for One-Day plus (1D+) Speed, Delivery Estimate Accuracy (DEA), and On Road Delivery Service. This consolidation creates a unified DEA and Speed organization, enabling improved performance in our two critical customer metrics. The Speed team champions 1D, 2D and 3D+ delivery speed across EU5 and Expansion countries providing a link between Stores and operations. It enables improved on-time performance, measured through DEA, across EU13, by leveraging synergies from the end to end (E2E) DEA programs, the CF DEA organization Global Operational Excellence (GOX) and the AMZL DEA team. The team continues to support talent programs and talent planning.

Basic Qualifications

- Experience (non-internship) in professional software development

- Experience in professional, non-internship software development

- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design

Preferred Qualifications

- Bachelor's degree in computer science or equivalent

- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations



Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.



Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.



Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region youu2019re applying in isnu2019t listed, please contact your Recruiting Partner.