Shape the Future of AIJoin one of the UK's fastest-growing companies and become a Professional Development Expert in Artificial Intelligence.

View Roles

Cloud Support Engineer - ETL, Support Engineering

Amazon
London
4 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Engineer

Lead Data Engineer

Principal Data Engineer

Principal Geospatial Data Engineer

SQL Data Engineer

Data Engineer

Cloud Support Engineers in the Data in Transit domains support customers who are running ETL workload or analyzing large amounts of data using AWS services. As a part of this team, you will be working on a plethora of services such as Glue (ETL service), Athena (interactive query service), Managed Workflows of Apache Airflow, etc.


Understanding of ETL (Extract, Transform, Load) Creation of ETL Pipelines to extract and ingest data into data lake/warehouse with simple to medium complexity data transformations and troubleshooting ETL job issues.


Understanding of Linux and Networking concepts.


Excellent oral and written communication skills with multi-tasking ability.


Master’s degree in Information Science/Information Technology, Data Science, Computer Science, Engineering, Mathematics, Physics, or a related field OR Bachelor’s degree in the same with 1+ year of experience OR equivalent experience in a technical position.


Key Job Responsibilities

  1. Intermediate expertise in ETL tools such as Talend, Informatica or similar.
  2. Knowledge of data management fundamentals and data storage principles.
  3. Advanced SQL and query performance tuning skills.
  4. Experience integrating and managing large data sets from multiple sources.
  5. Ability to read and understand Python and Scala code.
  6. Understanding of distributed computing environments.
  7. Proficient in Spark, Hive, and Presto.
  8. Experience working with Docker.
  9. Python and shell scripting.
  10. Customer service experience / strong customer focus.
  11. Prior working experience with AWS - any or all of EC2, S3, EBS, Glue, Athena.
  12. Experienced with Linux system monitoring and analysis (disk management, memory management, permissions, etc.).
  13. Understanding of Networking concepts and protocols (DNS, TCP/IP, DHCP, HTTPS, etc.).


A Day in the Life

Every day will bring new and exciting challenges on the job while you:

  1. Learn and use groundbreaking technologies.
  2. Apply advanced troubleshooting techniques to provide unique solutions to our customers' individual needs.
  3. Interact with leading engineers around the world.
  4. Partner with Amazon Web Services teams to help reproduce and resolve customer issues.
  5. Leverage your extensive customer support experience to provide feedback to internal AWS teams on how to improve our services.
  6. Drive customer communication during critical events.
  7. Drive projects that improve support-related processes and our customers’ technical support experience.
  8. Write tutorials, how-to videos, and other technical articles for the developer community.
  9. Work on critical, highly complex customer problems that may span multiple AWS services.


Why AWS Support?

First and foremost this is a customer support role – in The Cloud. On a typical day, a Support Engineer will be primarily responsible for solving customer’s cases through a variety of customer contact channels which include telephone, email, and web/live chat. You will apply advanced troubleshooting techniques to provide tailored solutions for our customers and drive customer interactions by thoughtfully working with customers to dive deep into the root cause of an issue.

Apart from working on a broad spectrum of technical issues, an AWS Support Engineer may also coach/mentor new hires, develop & present training, partner with development teams on complex issues or contact deflection initiatives, participate in new hiring, write tools/scripts to help the team, or work with leadership on process improvement and strategic initiatives.

Career development: We promote advancement opportunities across the organization to help you meet your career goals. Training: We have training programs to help you develop the skills required to be successful in your role. We hire smart people who are keen to build a career with AWS, so we are more interested in the areas that you do know instead of those you haven’t been exposed to yet.

Support engineers interested in travel have presented training or participated in focused summits across our sites or at specific AWS events.


About the Team

AWS values diverse experiences. Even if you do not meet all of the 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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

10 Machine‑Learning Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

With deep‑learning projects now integral across healthcare, finance and tech, UK demand for machine‑learning talent is booming. Lightcast shows +50 % YoY growth in UK adverts referencing “machine learning,” “deep learning,” “computer vision” or “reinforcement learning” in Q1 2025. Monthly vacancies sit around 1,800–2,100, but certified ML specialists number fewer than 15,000. Specialist recruiters help candidates access hidden roles, competitive packages, and structured interview prep. How we screened: Only UK‑registered agencies with clear ML/AI or Data practices Agencies that posted ≥ 5 UK ML roles between March and June 2025

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.