Senior Data Engineer (AWS) in London

Senior Data Engineer (AWS) in London

London Full-Time 60000 - 80000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and implement data pipelines using AWS, transforming raw data into actionable insights.
  • Company: Join a global tech consultancy that empowers your growth and creativity.
  • Benefits: Paid certifications, mentoring, hackathons, and a vibrant team culture.
  • Other info: Enjoy regular socials, transparent progress reviews, and a supportive environment.
  • Why this job: Make a real impact while working with cutting-edge technologies and top global brands.
  • Qualifications: Experience in data or tech, problem-solving skills, and a passion for learning.

The predicted salary is between 60000 - 80000 ÂŁ per year.

You’ve got the skills. The curiosity. The hunger to grow, try new things and make a real impact. We’re a growing global tech consultancy. Some of the world’s biggest businesses turn to us to help bring their data, AI, cloud and digital solutions to life. We’re the home base for talented technologists who want more and are looking to take their career to the next level by having more learning, more variety, more support and more chances to do meaningful work.

What You’ll Get

  • A platform for growth: Work across industries, clients and technologies that stretch your thinking and build your personal and professional skills.
  • Access global businesses: Work with some of the world’s biggest brands.
  • IP, frameworks and accelerators: We share what we know. Our playbooks and toolkits fast-track your success on projects.
  • All the shiny tech: Databricks, Snowflake, Azure, GCP, AWS - you’ll use it, play with it and maybe even break it (responsibly).
  • Senior consultants who have your back: You’ll always have a guide on your journey, not just be thrown into the deep end.
  • Serious learning support: Paid certs, weekly training, guilds, hackathons, mentoring and more.
  • Progress that’s transparent: Annual reviews based on 360° feedback, not vague vibes. Clear goals, solid feedback and real growth.
  • Kudos and rewards: We celebrate wins, reward impact and offer long-term incentives.
  • Real connection: From Friday socials to annual team building days - we work hard and play harder.

What We’re Looking For

We’re on the hunt for people who love solving problems, thinking critically and staying curious. If you’ve worked in data or tech before—amazing. If you’ve got a brain that enjoys untangling complex stuff and applying what you’ve learned—even better!

We’re less about ticking boxes and more about whether you’d thrive in this environment:

  • Do you get excited about helping clients move forward?
  • Do you want to learn from people who are really good at what they do?
  • Are you keen to experiment with the latest tools and ideas?
  • Can you balance working independently and being a great teammate?

If you said “yes” more than once, let’s talk.

Key Skills

We’re open to people at different experience levels and career stages. Here’s a sense of what you’ll do and the tools you might use:

  • As an AWS Data Engineer, you’re the architect of the pipeline, making sure data is accessible, high-quality, and ready for action.
  • Designing and implementing end-to-end data pipelines within the AWS ecosystem.
  • Migrating legacy on-premise data workloads to modern, scalable cloud environments.
  • Developing robust ETL/ELT processes to transform raw data into actionable insights.
  • Optimizing storage and compute costs while ensuring high availability and security.
  • Collaborating with Data Scientists and DevOps teams to productionalize ML models.

You might work with:

  • Core AWS: S3, Glue, Lambda, Athena, Redshift, EMR.
  • Compute & Orchestration: Python, PySpark, Step Functions, Managed Workflows for Apache Airflow (MWAA).
  • Modern Tooling: dbt, Terraform (IaC), Snowflake on AWS, Databricks.

Your work matters and so do you. That’s why we back your skills with a structure that supports your development, celebrates your wins, and helps you keep growing—professionally and personally.

Here’s what’s waiting for you:

  • Mentoring Program – with a Senior Support Lead
  • 360° Progress Reviews – honest feedback, not fluff
  • Guilds & Regular Training – learn from your peers
  • Paid Certifications – across all major technologies (AWS, Databricks, etc.)
  • Hackathons & Innovation Days – challenge yourself, build cool stuff
  • Kudos & Recognition Programs – great work doesn’t go unnoticed
  • Socials & Team Days – Book Club, Data & Drinks, Team Building days, and more

Final Word

If you’re looking for the place where your growth will go into overdrive, where you’ll work with great humans, get access to cutting-edge tools and genuinely enjoy the ride.

Senior Data Engineer (AWS) in London employer: Vivanti Consulting

At Vivanti, we pride ourselves on being an exceptional employer that fosters a culture of growth, collaboration, and innovation. As a Senior Data Engineer, you'll have the opportunity to work with cutting-edge technologies and some of the world's leading brands, all while receiving robust support for your professional development through mentoring, paid certifications, and transparent progress reviews. Our vibrant work environment encourages meaningful connections and celebrates achievements, making it an ideal place for those eager to make a real impact in the tech consultancy space.
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Contact Detail:

Vivanti Consulting Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Engineer (AWS) in London

✨Tip Number 1

Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the field. You never know who might have the inside scoop on job openings!

✨Tip Number 2

Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AWS and data engineering. This gives potential employers a tangible look at what you can do and sets you apart from the crowd.

✨Tip Number 3

Prepare for interviews by practising common questions and scenarios specific to data engineering. Think about how you’d tackle real-world problems using AWS tools. The more you rehearse, the more confident you’ll feel when it’s showtime!

✨Tip Number 4

Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who want to grow with us. Plus, applying directly can sometimes give you a better chance of getting noticed by our hiring team.

We think you need these skills to ace Senior Data Engineer (AWS) in London

AWS
Data Pipeline Architecture
ETL/ELT Processes
Data Migration
Data Quality Assurance
Cost Optimisation
Collaboration with Data Scientists
Python
PySpark
Terraform
dbt
S3
Glue
Lambda
Redshift

Some tips for your application 🫡

Show Your Passion: When you're writing your application, let your enthusiasm shine through! We want to see that you’re not just ticking boxes but genuinely excited about the role and what we do at StudySmarter.

Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer position. Highlight relevant experience with AWS and data engineering tools, and don’t forget to mention any cool projects you've worked on that showcase your skills!

Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’d be a great fit for our team. Share your journey, your curiosity, and how you can contribute to our mission. Keep it personal and engaging!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at Vivanti Consulting

✨Know Your AWS Inside Out

Make sure you brush up on your AWS knowledge, especially the services mentioned in the job description like S3, Glue, and Lambda. Be ready to discuss how you've used these tools in past projects and how they can be applied to solve real-world problems.

✨Showcase Your Problem-Solving Skills

Prepare examples of complex data challenges you've faced and how you approached them. This role is all about untangling complex issues, so demonstrating your critical thinking and problem-solving abilities will really impress the interviewers.

✨Emphasise Collaboration

Since you'll be working closely with Data Scientists and DevOps teams, highlight your teamwork experiences. Share specific instances where collaboration led to successful outcomes, showing that you're not just a lone wolf but a great team player.

✨Express Your Curiosity and Willingness to Learn

This company values growth and learning, so make sure to convey your enthusiasm for experimenting with new tools and ideas. Discuss any recent courses or certifications you've pursued, and express your eagerness to continue developing your skills in this dynamic environment.

Senior Data Engineer (AWS) in London
Vivanti Consulting
Location: London

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