37 Etl Processes jobs in London

Data Engineering Lead
Do you enjoy Team Management?
Are you a team player?
About Us
A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society . Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice . At Elsevier, your work contributes to the world's grand challenges and a more sustainable future . We harness innovative technologies to support science and healthcare to partner for a better world.  
The Team
The Enterprise Data Platforms and Services (EDPS) team are a central technology group responsible for building, administering, govern ing , and setting global standards for a growing number of Elsevier strategic data platforms and services . The capabilities we are responsible for enable data to be collected, accessed, processed and integrated across a wide range of digital business solutions , used by functions including billing and order management, customer and product master data management , and business analytics and insights delivery . Due to our footprint across the enterprise , we are relied upon to ensure our systems are trusted, reliable and available . The technology underpinning these capabilities includes industry leading data and analytics products such as Snowflake, Tableau, DBT, Talend, Collibra, Kafka/Confluent , Astronomer/Airflow , and Kubernetes .
This forms part of a longer-term strategic direction to implement Data Mesh, and with it establish shared platform s that enables a connected collection of enterprise-ready time saving services , applying a self-service first approach . Our mission is to enable frictionless experiences for all Elsevier c olleagues, so that they can openly and securely consume and produce trustworthy data, enhancing everyday colleague and customer interactions and decisions.
The Role
As the Software Engineering Lead , you will be responsible for nurturing a high performing cross- functional squad of software and data engineers . This squad is responsible for a growing number of strategic capabilities and components that serve a large number of engineering , d ata science, and analytics use cases and stakeholders . You will be expected to be the technical subject matter expert overseeing the squad building an Enterprise Data Platform that support s both operational and analytical use cases.
In practice, this will mean combining your technical expertise with strong stakeholder engagement to build a deep understanding of business needs when design ing a technical solution that is fit-for-purpose . To be successful, you need to understand user requirements and map diverse user interactions with the various platform components to inform your implementation decisions . Y ou will be expected to collaborate closely with other technology teams to ensure that we are driving a culture of contributing towards shared services .
Your success will be primarily measured by demonstrable increases in the number of teams adopting and contributing to the platform capabilities and shared repositories we provision, and clear improvements in technical efficiency /value gains .
Key Responsibilities and Accountabilities:
+ Accountable for team performance - manage a high performing agile delivery squad , ensuring you nurture team skills, trust , and relationships through coaching and mentoring .
+ Accountable for releases - set technical development and coding standards that make up a robust and mature SDLC, and review team release s to guarantee these are met.
+ Accountable for shared services - build common frameworks and patterns that can be easily reused, contributed to, and reliably deployed by other teams via self-service.
+ Accountable for best practices - establish component specific guidelines in collaboration with your team, wider engineering team s , architecture , end-users, data product owners, and enablement teams, to promote these through regular knowledge sharing sessions.
+ Accountable for operational efficiency - drive improvements in efficien cy , reliab ility , and scala bility supported by logging , monitoring and observability as a foundational capability.
+ Responsible for adoption - promote the platform capabilities through technical communities of practice leadership, high internal standards for documented processes and internal guides, an d take steps to capture and action user feedback.
+ Responsible for platform evolution - collaborate with key stakeholder groups to analyse and identify capability gaps, and drive discussions required to make a case for change .
+ Responsible for technical governance - establish and manage the technical design authority process for each capability to successfully govern self-service use of the platform .
Essential Skills & Experience :
+ Team leadership - driven line manager and technical lead, deeply interested in coaching and mentoring, to motivat e cross functional squads to deliver complex technical initiatives.
+ Software development lifecycle (SDLC) - applied understanding of SDLC best practices, having delivered improvements in previous teams' SDLC and DataOps /DevOps maturity.
+ Agile delivery - facilitat ing ceremonies , removing impediments, coordinat ing requirements refinement to ensure tasks are achievable , and driv ing a culture of iterative improvemen t.
+ Modern data stack - hands-on deploy ment and govern ance of enterprise technologies at scale (e.g. Snowflake, Tableau, DBT, Fivetran , Airflow, AWS , GitHub, Terraform, etc ) for self-service workloads .
+ Coding languages - deployable and reusable Python , Java S cript , and Jinja templating languages for ETL / ELT data applications , data pipelines , and stored procedures.
+ Thought leadership and influencing - deep interest in data platforms landscape to build well-articulated proposals that are supported by strong research, value delivery , and previous success in driving but also adopting change.
+ Solution design and architecture - apt at creating comprehensive technical design documents, including architecture and infrastructure artifacts, to support scalable, secure, and efficient data platforms , ensuring reliable data flow s from ingestion to consumption .
+ AWS cloud ecosystem - deep knowledge of AWS data and analytics services and the infrastructure required for production grade data solutions and applications .
+ Prioritisation - a daptable to changing needs within the organi s ation with a professional, flexible and pragmatic response to rapidly evolving priorities, while mitigat ing impacts.
+ Data and technology governance - knowledgeable in applying data management, data privacy and data security practices at scale to ensure platform use is compliant .
Work in a way that works for you  
We promote a healthy work/life balance across the organisation. With an average length of service of 9 years, we are confident that we offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and long-term goals.  
+ Working remotely from home or in our office in a flexible hybrid style 
+ Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive 
Working with us  
We are an equal opportunity employer with a commitment to help you succeed. Here, you will find an inclusive, agile, collaborative, innovative and fun environment, where everyone has a part to play. Regardless of the team you join, we promote a diverse environment with co-workers who are passionate about what they do, and how they do it.  
Working for you  
At Elsevier, we know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:  
+ Generous holiday allowance with the option to buy additional days 
+ Access to learning platforms and encouragement to book up to 10 days focused learning/development time per year  
+ Health screening, eye care vouchers and private medical benefits 
+ Wellbeing programs 
+ Life assurance 
+ Access to a competitive contributory pension scheme 
+ Long service awards 
+ Save As You Earn share option scheme 
+ Travel Season ticket loan 
+ Maternity, paternity and shared parental leave 
+ Access to emergency care for both the elderly and children 
+ RELX Cares days, giving you time to support the charities and causes that matter to you 
+ Access to employee resource groups with dedicated time to volunteer 
+ Access to extensive learning and development resources 
+ Access to employee discounts via Perks at Work 
About the Business
A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.
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Elsevier is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: , or please contact .
Please read our Candidate Privacy Policy ( .
RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.
Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.
Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.

LocationBloomsbury Square, London, United Kingdom# Technology Architect – Data Engineering at N Consulting LtdLocationBloomsbury Square, London, United KingdomSalary£400 - £500 /dayJob TypeContractDate PostedSeptember 17th, 2025Apply Now** We’re Hiring: Technology Architect – Data Engineering (Hybrid – London)** | **Contract:** 6 months | **Work Mode:** Hybrid (12 days WFO/month)We are looking for an experienced **Technology Architect** with deep expertise in **PySpark, ADF, and Databricks** to lead and design data engineering solutions for our client.**What You’ll Do:**Lead technical design using **Medallion architecture** and Azure ServicesCreate conceptual diagrams, source-to-target mapping, and dimensional data modelsGuide the **data engineering team** on development with ADF, Databricks, Python, JSON, and YAMLImplement performance optimization strategies during data transformationDeploy code artifacts using **GitHub Workflows/CI-CD pipelines**Collaborate effectively with team members and stakeholdersOptional: Work with **Log Analytics** and **KQL queries***Must-Have Skills:**10+ years of experience in **Data Engineering**Hands-on experience with **PySpark, ADF, Databricks, SQL**Strong understanding of **dimensional modeling, normalization, schema design, and data harmonization**Experience with **Erwin** and data modeling toolsExcellent **communication, problem-solving, and client-facing skills***Why Join Us:**Work in a **dynamic, collaborative environment**Hands-on experience with **cutting-edge Azure data engineering technologies**Hybrid setup providing flexibility while staying connected to the teamn#J-18808-Ljbffrn

About Zego

At Zego, we understand that traditional motor insurance holds good drivers back. It's too complicated, too expensive, and it doesn't reflect how well you actually drive. Since 2016, we have been on a mission to change that by offering the lowest priced insurance for good drivers.

From van drivers and gig workers to everyday car drivers, our customers are the driving force behind everything we do. We've sold tens of millions of policies and raised over $200 million in funding. And we’re only just getting started.

About the Role

We’re looking for a Head of Data Engineering to lead and grow our high-impact team of four Data Engineers. You'll play a pivotal role in shaping the future of Zego’s data infrastructure- ensuring it scales with our ambitions while remaining resilient, efficient, and safeguarding user data privacy.

This is a hands-on leadership role that combines technical depth, strategic vision, and team enablement. You’ll partner with cross-functional leaders in Engineering, Data Science, Analytics, and Product to drive our data strategy, evolve our architecture, and deliver world-class data systems.

What you will be doing

Team Leadership & Strategy

• Lead, mentor, and develop a high performing team of Data Engineers, fostering a culture of learning, excellence, and ownership.
• Define and execute the data engineering roadmap aligned with Zego’s business goals.
• Collaborate closely with leaders in Engineering, Analytics, Product and Insurance Pricing to ensure alignment and prioritisation.
  
  

Technical Ownership

• Own the end-to-end architecture and reliability of Zego’s data platform, from ingestion and transformation to governance and observability.
• Guide the team in evolving our ETL/ELT pipelines, data models, and real-time processing frameworks.
• Lead the development of new data architectures and the introduction of new technologies.
  
  

Innovation & Delivery

• Drive the adoption of modern data engineering practices including testing, CI/CD, and infrastructure as code.
• Identify opportunities for tooling improvements, tech upgrades, or re-architecting where needed.

About You

You’re a technical leader who loves building both systems and people. You combine deep technical knowledge with a pragmatic, product-focused mindset and a collaborative leadership style

What You Bring:

• Leadership Experience: 2+ years leading a team of Data Engineers, either as a Technical Lead or hands-on Manager.
• Technical Excellence: 5+ years as a Data Engineer with experience designing and operating scalable data platforms in fast-paced environments such as product-led companies or high-growth startups
• Stakeholder Management: Skilled in collaborating with diverse stakeholders and translating complex technical ideas into clear, business-focused discussions.

Technical Skills:

• Proven expertise in designing, building, and operating data pipelines, warehouses, and scalable data architectures.
• Deep hands-on experience with modern data stacks. Our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform. Experience with similar technologies is essential.
• Coaching & Growth Mindset: Passion for developing others through mentorship, feedback, and knowledge sharing.
• Pragmatic Problem-Solving: Comfortable balancing technical excellence with business priorities and constraints

Nice to have

• Experience building Data Mesh or Data Lake architectures.
• Familiarity with Kubernetes, Docker, and real-time streaming (e.g. Kafka, Kinesis).
• Exposure to ML engineering pipelines or MLOps frameworks.
  

What’s it like to work at Zego?

Joining Zego is a career-defining move. People go further here, reaching their full potential to achieve extraordinary things.

We're spread throughout the UK and Europe, and united by our drive to get things done. We're proud of our company and our culture - a friendly and inclusive space where we can lift each other up and celebrate our wins every day.

Together, we're setting the bar higher, delivering exceptional work that makes a difference.

Our people are the most important part of our story, and everyone here plays a role. There's loads of room to learn and grow, and you'll get the freedom to steer your career wherever you want.

You'll work alongside a talented group who embrace each other's differences and aren't afraid of a challenge. We recognise our achievements, learn from our mistakes, and help each other to be the best we can be. Together, we're making insurance matter

How we work

We believe that teams work better when they have time to collaborate and space to get things done. We call it Zego Hybrid. We ask you to spend at least one day a week in our central London office. We think it's a good mix of collaborative face time and flexible home-working, setting us up to achieve the right balance between work and life

Our approach to AI

We believe in the power of AI to meaningfully improve how we work - helping us move faster, think differently, and focus on what matters most. At Zego, we encourage people to stay curious and intentional about how AI is leveraged in their work and teams to drive practical impact every day. This is your chance to do the most meaningful work of your career - and we'll provide you with the tools, support, and freedom to do it well

Benefits

We reward our people well. Join us and you'll get a market-competitive salary, private medical insurance, company share options, generous holiday allowance, and a whole lot of wellbeing benefits. We also offer an annual flexible hybrid working contribution, which you can use to support with your travel to the office or towards your own personal development. And that's just for starters!

There's more to Zego than just a job - Check out our blog for insights, stories, and more.

We're an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, or disability status.

Snapshot

Google Deepmind Robotics’s mission is to

solve AGI in the physical world . We are looking for an exceptional software engineer passionate about robotics and data, to tackle one of the major bottlenecks towards this mission - high quality data, lots of them.nAbout Us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.nThe Role

As a software engineer with a focus on data, you work closely with researchers, engineers, and operation teams, tackling some of the largest scale and most complex data quality and systems problems across the full data lifecycle from data collection to ML training and evaluation. You play a crucial role in advancing our embodied AI technologies, and making a transformative impact in the real-world.nKey Responsibilities

Design and implement large scale data acquisition, processing and curation pipelines, assuming end-to-end ownership over the full lifecycle of high quality datasets for training advanced robotics foundation models.nSystematically improve data quality by performing sophisticated data analysis, debugging and experiments, developing metrics, tests and monitoring mechanisms, which directly contribute to ML model improvements.nDevelop, improve large scale data pipeline infrastructure and tooling. Improve system reliability, usability and scalability, data safety and security over the full data lifecycle.nAbout You

You are a multi-disciplinary and hands-on engineer with deep curiosity and willingness to stretch and learn. You embrace risks and have a healthy disregard for the status quo. You’re passionate about all the aspects of data and willing to dig into the most hairy and difficult problems into the data life cycle.nIn order to set you up for success as a Software Engineer - Data Engineering at Google DeepMind, we look for the following skills and experience:nRequirements

Bachelor’s degree or equivalent practical experience.n2+ years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.nExperience with production data systems and quality projects.nC++ and Python programming experience.nExperience in data analysis, debugging, experiment design and evaluation.nStrong problem-solving skills.nIn addition, the following would be an advantage:nExperience with production ML-oriented systems or applications.nRich experience working with very large datasets using Google data infrastructure and tooling ecosystems like Flume and PLX.nIndustry experiences in robotics or automation.nProduct mindset, willingness to learn, work with research and product colleagues, focus on delivering value in real-world applications.nThe US base salary range for this full-time position is between $141,000 - $202,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.nApplication deadline: Oct 10th, PM PSTnNote: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy PolicynAt Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

#J-18808-Ljbffrn

Description

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, weu2019re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain u2014 and weu2019re looking for talented people who want to help.



Youu2019ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. Youu2019ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And youu2019ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.



As Chief Engineer, you will be responsible for ensuring that all electrical, mechanical, and fire/life safety equipment within the data center is operating at peak efficiency. This involves planned preventative maintenance of equipment, daily corrective work, and emergency response. You are expected to be a singular focal point for all facility operations and to support Amazon within its owned and operated data centers.



You should be able to manage large scale impacting projects and new region support from conception to completion. These projects involve large amounts of independent work as well as collaboration with external support groups including engineering, automation, procurement, and finance in both local and global settings. As Chief Engineer, you will be tasked with creating and delivering on key milestones, obtaining and tracking quotes for all necessary costs, and documenting project results for future implementation at other facilities. The goals of such projects are for the Chief Engineers to drive innovation and resiliency while reducing operational costs in the facilities.



Key job responsibilities

- Train and support the Engineering team in their role of providing electrical and mechanical equipment troubleshooting and operations

- Implement and execute site or equipment-specific training exercises. Exercises cover, but are not limited to: stand-by diesel generators, switchgear, UPSs, PDUs, AHUs, chillers etc.

- Oversee day-to-day operation and maintenance of mechanical and electrical equipment in data center sites

- Operate independently, with limited direct management

- Assist in the design and build-out of new facilities and perform root cause analysis of equipment failures

- Act as an escalation point for all facilities-related issues within the data center region. Work OT hours as needed to support site stability

- Troubleshoot and report facility and data sever-level events within internal Service Level Agreements (SLA)

- Create and deploy standard practices for Engineering Operations Technicians, Chief Engineers, and vendor support teams

- Ensure all safety procedures are adhered to by vendors, and AWS staff

- Respond to off hour emergency calls related to his data centers and help with the investigation, mitigation, and recovery of the issue(s).

- Candidates should be able to lift up to 40 lbs and or work in elevated locations.

- Ability to work in an environment that operates 24/7 with an ability to provide after-hours support as needed. All physical requirements are expected with reasonable accommodations



PHYSICAL REQUIREMENTS

- Work at height, and from ladders

- Perform physical tasks during the shift

- Work in a noisy environment, with ear protection



About the team

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, weu2019re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain u2014 and weu2019re looking for talented people who want to help. (AIS tagline)



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, hasnu2019t followed a traditional path, or includes alternative experiences, donu2019t let it stop you from applying.



Why AWS?

Amazon Web Services (AWS) is the worldu2019s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating u2014 thatu2019s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.



Inclusive Team Culture

Here at AWS, itu2019s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.



Mentorship & Career Growth

Weu2019re continuously raising our performance bar as we strive to become Earthu2019s Best Employer. Thatu2019s why youu2019ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, thereu2019s nothing we canu2019t achieve in the cloud.

Basic Qualifications

- NVQ Level 3 in Electrical/Mechanical Engineering (or equivalent)

- Extensive industry related experience with In-depth knowledge of UPS, backup generator systems and generic mechanical-room infrastructure

- BS th Edition

Preferred Qualifications

- Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field

- Experience in data center engineering

- Previous experience in operations and on-call support for Data Center facilities or Mission Critical Plants/Production facilities



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

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, weu2019re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain u2014 and weu2019re looking for talented people who want to help.



Youu2019ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. Youu2019ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And youu2019ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.



As Chief Engineer, you will be responsible for ensuring that all electrical, mechanical, and fire/life safety equipment within the data center is operating at peak efficiency. This involves planned preventative maintenance of equipment, daily corrective work, and emergency response. You are expected to be a singular focal point for all facility operations and to support Amazon within its owned and operated data centers.



You should be able to manage large scale impacting projects and new region support from conception to completion. These projects involve large amounts of independent work as well as collaboration with external support groups including engineering, automation, procurement, and finance in both local and global settings. As Chief Engineer, you will be tasked with creating and delivering on key milestones, obtaining and tracking quotes for all necessary costs, and documenting project results for future implementation at other facilities. The goals of such projects are for the Chief Engineers to drive innovation and resiliency while reducing operational costs in the facilities.



Key job responsibilities

- Train and support the Engineering team in their role of providing electrical and mechanical equipment troubleshooting and operations

- Implement and execute site or equipment-specific training exercises. Exercises cover, but are not limited to: stand-by diesel generators, switchgear, UPSs, PDUs, AHUs, chillers etc.

- Oversee day-to-day operation and maintenance of mechanical and electrical equipment in data center sites

- Operate independently, with limited direct management

- Assist in the design and build-out of new facilities and perform root cause analysis of equipment failures

- Act as an escalation point for all facilities-related issues within the data center region. Work OT hours as needed to support site stability

- Troubleshoot and report facility and data sever-level events within internal Service Level Agreements (SLA)

- Create and deploy standard practices for Engineering Operations Technicians, Chief Engineers, and vendor support teams

- Ensure all safety procedures are adhered to by vendors, and AWS staff

- Respond to off hour emergency calls related to his data centers and help with the investigation, mitigation, and recovery of the issue(s).

- Candidates should be able to lift up to 40 lbs and or work in elevated locations.

- Ability to work in an environment that operates 24/7 with an ability to provide after-hours support as needed. All physical requirements are expected with reasonable accommodations



PHYSICAL REQUIREMENTS

- Work at height, and from ladders

- Perform physical tasks during the shift

- Work in a noisy environment, with ear protection



About the team

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, weu2019re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain u2014 and weu2019re looking for talented people who want to help. (AIS tagline)



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, hasnu2019t followed a traditional path, or includes alternative experiences, donu2019t let it stop you from applying.



Why AWS?

Amazon Web Services (AWS) is the worldu2019s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating u2014 thatu2019s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.



Inclusive Team Culture

Here at AWS, itu2019s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.



Mentorship & Career Growth

Weu2019re continuously raising our performance bar as we strive to become Earthu2019s Best Employer. Thatu2019s why youu2019ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, thereu2019s nothing we canu2019t achieve in the cloud.

Basic Qualifications

- NVQ Level 3 in Electrical/Mechanical Engineering (or equivalent)

- Extensive industry related experience with In-depth knowledge of UPS, backup generator systems and generic mechanical-room infrastructure

- BS th Edition

Preferred Qualifications

- Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field

- Experience in data center engineering

- Previous experience in operations and on-call support for Data Center facilities or Mission Critical Plants/Production facilities



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
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
As Chief Engineer, you will be responsible for ensuring that all electrical, mechanical, and fire/life safety equipment within the data center is operating at peak efficiency. This involves planned preventative maintenance of equipment, daily corrective work, and emergency response. You are expected to be a singular focal point for all facility operations and to support Amazon within its owned and operated data centers.
You should be able to manage large scale impacting projects and new region support from conception to completion. These projects involve large amounts of independent work as well as collaboration with external support groups including engineering, automation, procurement, and finance in both local and global settings. As Chief Engineer, you will be tasked with creating and delivering on key milestones, obtaining and tracking quotes for all necessary costs, and documenting project results for future implementation at other facilities. The goals of such projects are for the Chief Engineers to drive innovation and resiliency while reducing operational costs in the facilities.
Key job responsibilities
- Train and support the Engineering team in their role of providing electrical and mechanical equipment troubleshooting and operations
- Implement and execute site or equipment-specific training exercises. Exercises cover, but are not limited to: stand-by diesel generators, switchgear, UPSs, PDUs, AHUs, chillers etc.
- Oversee day-to-day operation and maintenance of mechanical and electrical equipment in data center sites
- Operate independently, with limited direct management
- Assist in the design and build-out of new facilities and perform root cause analysis of equipment failures
- Act as an escalation point for all facilities-related issues within the data center region. Work OT hours as needed to support site stability
- Troubleshoot and report facility and data sever-level events within internal Service Level Agreements (SLA)
- Create and deploy standard practices for Engineering Operations Technicians, Chief Engineers, and vendor support teams
- Ensure all safety procedures are adhered to by vendors, and AWS staff
- Respond to off hour emergency calls related to his data centers and help with the investigation, mitigation, and recovery of the issue(s).
- Candidates should be able to lift up to 40 lbs and or work in elevated locations.
- Ability to work in an environment that operates 24/7 with an ability to provide after-hours support as needed. All physical requirements are expected with reasonable accommodations
PHYSICAL REQUIREMENTS
- Work at height, and from ladders
- Perform physical tasks during the shift
- Work in a noisy environment, with ear protection
About the team
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. (AIS tagline)
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.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
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
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- NVQ Level 3 in Electrical/Mechanical Engineering (or equivalent)
- Extensive industry related experience with In-depth knowledge of UPS, backup generator systems and generic mechanical-room infrastructure
- BS th Edition
Preferred Qualifications
- Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field
- Experience in data center engineering
- Previous experience in operations and on-call support for Data Center facilities or Mission Critical Plants/Production facilities
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.

Overview

Director of Data Engineering – Chase UK at JPMorgan Chase. The role focuses on delivering end-to-end data pipeline solutions on cloud infrastructure, enabling data-driven decision making across functional areas such as finance, treasury operations, financial crime prevention, regulatory reporting and analytics. This position is part of a geographically distributed, diverse team within the International Consumer Bank, based in London, UK.nResponsibilities

Lead data engineering teams to achieve functional technology objectives and continuously update technologies and patterns.nMake strategic decisions that influence resources, budget, and the implementation of processes and procedures.nCarry governance accountability for coding decisions, control obligations, and measures of success (cost of ownership, maintainability, portfolio operations).nDeliver end-to-end data pipeline solutions on cloud infrastructure using current best practices.nUse domain modelling to build best-in-class business products.nStructure software for readability, testability, evolution, and scalability; avoid single points of failure.nDevelop secure code; promptly investigate and fix issues and prevent recurrence.nEnsure releases occur with zero downtime for end users.nEnsure data is written and read in a way optimized for business needs.nMonitor performance and reliability; keep systems easy to operate.nSupport products throughout their lifecycle, including production and incident management.nRequired Qualifications, Capabilities & Skills

Formal training or certification in data engineering; strong experience leading technologists to manage and solve complex technical items within your domain.nRecent hands-on professional experience as a data engineer.nExperience coding in Python (recent version).nUnderstanding of event-driven architecture, data streaming and messaging frameworks.nExperience designing and implementing effective tests (unit, component, integration, end-to-end, performance).nExperience with cloud technologies and distributed systems.nExperience with data transformation frameworks and data pipeline orchestration tools.nExperience managing large data volumes and optimizing data processing.nCoaching others on coding practices, design principles, and maintainable solutions.nAbility to manage stakeholders and prioritize work across multiple work streams.nPreferred Qualifications, Capabilities & Skills

Experience in highly regulated environments/industries.nExperience with AWS cloud technologies.nExperience with data governance frameworks.nUnderstanding of incremental data processing and versioning.nUnderstanding of RESTful APIs and web technologies.nAbout Us

J.P. Morgan is a global leader in financial services, providing strategic advice and products to corporations, governments, high-net-worth individuals and institutions. We are an equal opportunity employer and value diversity and inclusion. We do not discriminate on protected attributes and provide reasonable accommodations for applicants and employees as needed.nAbout the Team: Our corporate functions cover a diverse range of areas from finance and risk to human resources and marketing; the teams ensure we set our businesses, clients, customers and employees up for success.

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