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Data Engineer Internship
London, England, GBR
Actively hiring, first seen by us 6 hours ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: full-time
From the employer’s posting
Before you apply
- New graduates
- For current students
Currently enrolled in a Bachelor’s or Master´s degree program in computer engineering, computer science, or a similar technical field
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
We are committed to diversity, equity, and inclusion, and leveraging our unique perspectives to scale our impact and grow. Amazon has 13 affinity groups (https://www.aboutamazon.com/affinity-groups), sometimes known as employee resource groups, which bring employees together across businesses and locations around the world. With executive and company sponsorship, these groups play an important role in building internal networks for creating a community, advising Amazon business units, leading in service projects, and reaching out to communities where Amazonians live and work. Want to know more about our opportunities? Visit our EMEA Student Programs Team Events page to register for one of our upcoming events: https://amazonstudentevents.splashthat.com/careers Basic qualifications
Read the full posting
Education & alternatives
We are committed to diversity, equity, and inclusion, and leveraging our unique perspectives to scale our impact and grow. Amazon has 13 affinity groups (https://www.aboutamazon.com/affinity-groups), sometimes known as employee resource groups, which bring employees together across businesses and locations around the world. With executive and company sponsorship, these groups play an important role in building internal networks for creating a community, advising Amazon business units, leading in service projects, and reaching out to communities where Amazonians live and work. Want to know more about our opportunities? Visit our EMEA Student Programs Team Events page to register for one of our upcoming events: https://amazonstudentevents.splashthat.com/careers Basic qualifications • Currently enrolled in a Bachelor’s or Master´s degree program in computer engineering, computer science, or a similar technical field • Advanced knowledge and/or experience using SQL • Experience with data querying or modeling with SQL, Excel • Experience with scripting language (e.g., Python, Java, or R) • Knowledge of BI analytics/reporting/visualization tools (e.g., Tableau, AWS QuickSight, COGNOS, or other third-party tools) Preferred qualifications - Master’s or advance technical degree - Proficient in at least one or more query language, schema definition language, and scripting language - Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets - Experience with data visualization software (e.g., AWS QuickSight or Tableau) or open-source project - Experience with big data processing technology (e.g., Hadoop or ApacheSpark), data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environments - Ability to deal with ambiguity in a fast-paced environment
• Currently enrolled in a Bachelor’s or Master´s degree program in computer engineering, computer science, or a similar technical field • Advanced knowledge and/or experience using SQL • Experience with data querying or modeling with SQL, Excel • Experience with scripting language (e.g., Python, Java, or R) • Knowledge of BI analytics/reporting/visualization tools (e.g., Tableau, AWS QuickSight, COGNOS, or other third-party tools) Preferred qualifications - Master’s or advance technical degree - Proficient in at least one or more query language, schema definition language, and scripting language - Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets - Experience with data visualization software (e.g., AWS QuickSight or Tableau) or open-source project - Experience with big data processing technology (e.g., Hadoop or ApacheSpark), data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environments - Ability to deal with ambiguity in a fast-paced environment EMEA Student Programs Team
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 13, 2026today
- Recorded sightings
- 1
- Employer says posted
- Nov 11, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Amazon is hiring
959 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Java
- Python
- R
- SQL
- AWS
- Hadoop
- NoSQL
- Tableau
Where the posting names them
We are committed to diversity, equity, and inclusion, and leveraging our unique perspectives to scale our impact and grow. Amazon has 13 affinity groups (https://www.aboutamazon.com/affinity-groups), sometimes known as employee resource groups, which bring employees together across businesses and locations around the world. With executive and company sponsorship, these groups play an important role in building internal networks for creating a community, advising Amazon business units, leading in service projects, and reaching out to communities where Amazonians live and work. Want to know more about our opportunities? Visit our EMEA Student Programs Team Events page to register for one of our upcoming events: https://amazonstudentevents.splashthat.com/careers Basic qualifications • Currently enrolled in a Bachelor’s or Master´s degree program in computer engineering, computer science, or a similar technical field • Advanced knowledge and/or experience using SQL • Experience with data querying or modeling with SQL, Excel • Experience with scripting language (e.g., Python, Java, or R) • Knowledge of BI analytics/reporting/visualization tools (e.g., Tableau, AWS QuickSight, COGNOS, or other third-party tools) Preferred qualifications - Master’s or advance technical degree - Proficient in at least one or more query language, schema definition language, and scripting language - Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets - Experience with data visualization software (e.g., AWS QuickSight or Tableau) or open-source project - Experience with big data processing technology (e.g., Hadoop or ApacheSpark), data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environments - Ability to deal with ambiguity in a fast-paced environment
In addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in fun activities with other interns throughout the summer. No matter the location of your internship, we give you the tools to own your summer and learn in a real world setting. Key job responsibilities - Design, implement, and automate deployment of our distributed system for collecting and processing log events from multiple sources - Design data schema and operate internal data warehouses and SQL/NoSQL database systems - Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to drive key business decisions - Monitor and troubleshoot operational or data issues in the data pipelines - Drive architectural plans and implementation for future data storage, reporting, and analytic solutions - Work collaboratively with Business Analysts, Data Scientists, and other internal partners to identify opportunities/problems - Provide assistance to the team with troubleshooting, researching the root cause, and thoroughly resolving defects in the event of a problem A day in the life Our Data Engineers build and maintain the infrastructure to answer questions with data, using software engineering best practices, data management fundamentals, data storage principles, and recent advances in distributed systems (e g MapReduce, MPP architectures, NoSQL database. We’re looking for Data Engineer interns to join one of our many lines of business.
• Currently enrolled in a Bachelor’s or Master´s degree program in computer engineering, computer science, or a similar technical field • Advanced knowledge and/or experience using SQL • Experience with data querying or modeling with SQL, Excel • Experience with scripting language (e.g., Python, Java, or R) • Knowledge of BI analytics/reporting/visualization tools (e.g., Tableau, AWS QuickSight, COGNOS, or other third-party tools) Preferred qualifications - Master’s or advance technical degree - Proficient in at least one or more query language, schema definition language, and scripting language - Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets - Experience with data visualization software (e.g., AWS QuickSight or Tableau) or open-source project - Experience with big data processing technology (e.g., Hadoop or ApacheSpark), data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environments - Ability to deal with ambiguity in a fast-paced environment EMEA Student Programs Team
Key job responsibilities - Design, implement, and automate deployment of our distributed system for collecting and processing log events from multiple sources - Design data schema and operate internal data warehouses and SQL/NoSQL database systems - Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to drive key business decisions - Monitor and troubleshoot operational or data issues in the data pipelines - Drive architectural plans and implementation for future data storage, reporting, and analytic solutions - Work collaboratively with Business Analysts, Data Scientists, and other internal partners to identify opportunities/problems - Provide assistance to the team with troubleshooting, researching the root cause, and thoroughly resolving defects in the event of a problem A day in the life Our Data Engineers build and maintain the infrastructure to answer questions with data, using software engineering best practices, data management fundamentals, data storage principles, and recent advances in distributed systems (e g MapReduce, MPP architectures, NoSQL database. We’re looking for Data Engineer interns to join one of our many lines of business. About the team If you’re insatiably curious and always want to learn more, then you’ve come to the right place. Depending on your location, country, job status and other requirements, some or all of the following benefits may be available to you as an intern.
Your next step
Complete your application on www.amazon.jobs. The employer’s form will show what is required.
Already applied? Track this application
Has Amazon posted this job before?
Yes. We’ve followed one other Data Engineer Internship job there since November 2026. It is still up.
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
We’re on the lookout for the curious, those who think big and want to define the world of tomorrow. At Amazon, you will grow into the high impact, visionary person you know you’re ready to be. Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth.
How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow.
2027 London Data Engineering Internship
Do you love building tools and data pipelines? Are you excited by the opportunity to create clear effective reports and data visualizations, and collaborate with stakeholders to answer key business questions? Do you want to be a part of a fast-paced environment and contribute to one of the most visited sites on the Internet?
If this describes you, consider joining us as an intern. Amazon is looking for a data engineer intern to join one our many lines of business. Amazon interns have the opportunity to work alongside the industry’s brightest engineers who innovate everyday on behalf of our customers. You will be matched to a manager and a mentor. You will have the opportunity to affect the evolution of Amazon technology as well as lead mission critical projects early in your career. Your work will contribute to solving some of the most complex technical challenges in the company.
In addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in fun activities with other interns throughout the summer. No matter the location of your internship, we give you the tools to own your summer and learn in a real world setting.
Key job responsibilities
- Design, implement, and automate deployment of our distributed system for collecting and processing log events from multiple sources
- Design data schema and operate internal data warehouses and SQL/NoSQL database systems
- Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to drive key business decisions
- Monitor and troubleshoot operational or data issues in the data pipelines
- Drive architectural plans and implementation for future data storage, reporting, and analytic solutions
- Work collaboratively with Business Analysts, Data Scientists, and other internal partners to identify opportunities/problems
- Provide assistance to the team with troubleshooting, researching the root cause, and thoroughly resolving defects in the event of a problem
A day in the life
Our Data Engineers build and maintain the infrastructure to answer questions with data, using software engineering best practices, data management fundamentals, data storage principles, and recent advances in distributed systems (e g MapReduce, MPP architectures, NoSQL database. We’re looking for Data Engineer interns to join one of our many lines of business.
About the team
If you’re insatiably curious and always want to learn more, then you’ve come to the right place. Depending on your location, country, job status and other requirements, some or all of the following benefits may be available to you as an intern.
- Competitive pay
- Impactful project and internship/role deliverables
- Hybrid working (team dependent)
- Networking opportunities with fellow interns
- Internships events such as speaker series, intern panels, Leadership Principles sessions, Amazon writing skills sessions.
- Mentorship and career development
If you’re successful during your internship, you could be considered for a graduate role after finishing your university studies
Internship start dates vary throughout the year.
Internship ideal length is 6 months.
We are committed to diversity, equity, and inclusion, and leveraging our unique perspectives to scale our impact and grow. Amazon has 13 affinity groups (https://www.aboutamazon.com/affinity-groups), sometimes known as employee resource groups, which bring employees together across businesses and locations around the world. With executive and company sponsorship, these groups play an important role in building internal networks for creating a community, advising Amazon business units, leading in service projects, and reaching out to communities where Amazonians live and work.
Want to know more about our opportunities? Visit our EMEA Student Programs Team Events page to register for one of our upcoming events: https://amazonstudentevents.splashthat.com/careers
• Advanced knowledge and/or experience using SQL
• Experience with data querying or modeling with SQL, Excel
• Experience with scripting language (e.g., Python, Java, or R)
• Knowledge of BI analytics/reporting/visualization tools (e.g., Tableau, AWS QuickSight, COGNOS, or other third-party tools)
- Proficient in at least one or more query language, schema definition language, and scripting language
- Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets
- Experience with data visualization software (e.g., AWS QuickSight or Tableau) or open-source project
- Experience with big data processing technology (e.g., Hadoop or ApacheSpark), data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environments
- Ability to deal with ambiguity in a fast-paced environment
EMEA Student Programs Team
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 (https://www.amazon.jobs/en/privacy_page) 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow.
2027 London Data Engineering Internship
Do you love building tools and data pipelines? Are you excited by the opportunity to create clear effective reports and data visualizations, and collaborate with stakeholders to answer key business questions? Do you want to be a part of a fast-paced environment and contribute to one of the most visited sites on the Internet?
If this describes you, consider joining us as an intern. Amazon is looking for a data engineer intern to join one our many lines of business. Amazon interns have the opportunity to work alongside the industry’s brightest engineers who innovate everyday on behalf of our customers. You will be matched to a manager and a mentor. You will have the opportunity to affect the evolution of Amazon technology as well as lead mission critical projects early in your career. Your work will contribute to solving some of the most complex technical challenges in the company.
In addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in fun activities with other interns throughout the summer. No matter the location of your internship, we give you the tools to own your summer and learn in a real world setting.
Key job responsibilities
- Design, implement, and automate deployment of our distributed system for collecting and processing log events from multiple sources
- Design data schema and operate internal data warehouses and SQL/NoSQL database systems
- Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to drive key business decisions
- Monitor and troubleshoot operational or data issues in the data pipelines
- Drive architectural plans and implementation for future data storage, reporting, and analytic solutions
- Work collaboratively with Business Analysts, Data Scientists, and other internal partners to identify opportunities/problems
- Provide assistance to the team with troubleshooting, researching the root cause, and thoroughly resolving defects in the event of a problem
A day in the life
Our Data Engineers build and maintain the infrastructure to answer questions with data, using software engineering best practices, data management fundamentals, data storage principles, and recent advances in distributed systems (e g MapReduce, MPP architectures, NoSQL database. We’re looking for Data Engineer interns to join one of our many lines of business.
About the team
If you’re insatiably curious and always want to learn more, then you’ve come to the right place. Depending on your location, country, job status and other requirements, some or all of the following benefits may be available to you as an intern.
- Competitive pay
- Impactful project and internship/role deliverables
- Hybrid working (team dependent)
- Networking opportunities with fellow interns
- Internships events such as speaker series, intern panels, Leadership Principles sessions, Amazon writing skills sessions.
- Mentorship and career development
If you’re successful during your internship, you could be considered for a graduate role after finishing your university studies
Internship start dates vary throughout the year.
Internship ideal length is 6 months.
We are committed to diversity, equity, and inclusion, and leveraging our unique perspectives to scale our impact and grow. Amazon has 13 affinity groups (https://www.aboutamazon.com/affinity-groups), sometimes known as employee resource groups, which bring employees together across businesses and locations around the world. With executive and company sponsorship, these groups play an important role in building internal networks for creating a community, advising Amazon business units, leading in service projects, and reaching out to communities where Amazonians live and work.
Want to know more about our opportunities? Visit our EMEA Student Programs Team Events page to register for one of our upcoming events: https://amazonstudentevents.splashthat.com/careers
Basic qualifications
• Currently enrolled in a Bachelor’s or Master´s degree program in computer engineering, computer science, or a similar technical field• Advanced knowledge and/or experience using SQL
• Experience with data querying or modeling with SQL, Excel
• Experience with scripting language (e.g., Python, Java, or R)
• Knowledge of BI analytics/reporting/visualization tools (e.g., Tableau, AWS QuickSight, COGNOS, or other third-party tools)
Preferred qualifications
- Master’s or advance technical degree- Proficient in at least one or more query language, schema definition language, and scripting language
- Knowledge of writing and optimizing SQL queries in a business environment with large-scale, complex datasets
- Experience with data visualization software (e.g., AWS QuickSight or Tableau) or open-source project
- Experience with big data processing technology (e.g., Hadoop or ApacheSpark), data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environments
- Ability to deal with ambiguity in a fast-paced environment
EMEA Student Programs Team
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 (https://www.amazon.jobs/en/privacy_page) 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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- Location & working pattern
London, England, GBR
About the team If you’re insatiably curious and always want to learn more, then you’ve come to the right place. Depending on your location, country, job status and other requirements, some or all of the following benefits may be available to you as an intern. - Competitive pay - Impactful project and internship/role deliverables - Hybrid working (team dependent) - Networking opportunities with fellow interns - Internships events such as speaker series, intern panels, Leadership Principles sessions, Amazon writing skills sessions. - Mentorship and career development If you’re successful during your internship, you could be considered for a graduate role after finishing your university studies
- Work authorization
This passage needs a closer read in the full description.