At a Glance
- Tasks: Design and implement data pipelines using AWS, transforming raw data into actionable insights.
- Company: Join Vivanti, a global tech consultancy shaping the future with data and technology.
- Benefits: Enjoy paid certifications, mentoring, hackathons, and a vibrant team culture.
- Other info: Dynamic environment with strong support for personal and professional growth.
- Why this job: Make a real impact while working with cutting-edge tools and top brands.
- Qualifications: Experience in data engineering and a passion for problem-solving.
The predicted salary is between 23614 - 28862 £ 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. If that sounds like the kind of place you’d thrive in, keep reading.
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
As a Principal AWS Data Engineer, you’re the architect of the pipeline, making sure data is accessible, high-quality, and ready for action. Responsibilities include:
- Designing and implementing end-to-end data pipelines within the AWS ecosystem.
- Developing robust ETL/ELT processes to transform raw data into actionable insights.
- Architecting enterprise-grade, highly scalable data lakes, lakehouses, and processing pipelines on AWS.
- Setting data engineering best practices, design patterns, and governance standards across delivery teams.
- Modernizing legacy data infrastructures and driving complex, large-scale migrations to modern AWS cloud data stack solutions.
- Optimizing data platform performance, reliability, scalability, and AWS cloud expenditure.
- Partnering closely with client leadership, enterprise architects, and data science teams to turn strategic goals into robust technical execution.
- Mentoring senior data engineers and driving technical thought leadership across projects.
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.
- 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? Welcome to Vivanti.
About Vivanti
The Data People Shaping Tomorrow. Vivanti was founded as a haven for talented technologists who want to make a real impact for their clients. Our mission is to transform businesses and to create a smarter, more connected world through the power of data and technology. Together, we are making the future happen - today.
Principal Data Engineer (AWS) in London employer: Vivanti Consulting
At Vivanti Consulting, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel in their roles. As a Senior AI Architect & Solutions Leader, you will have access to cutting-edge technologies and the opportunity for professional growth through mentorship and continuous learning. Located in a vibrant tech hub, we offer competitive benefits and a supportive environment that values creativity and teamwork, making us an exceptional employer for those seeking meaningful and rewarding careers in AI engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Engineer (AWS) in London
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Vivanti Consulting.
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We think you need these skills to ace Principal Data Engineer (AWS) in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Vivanti Consulting, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Vivanti Consulting. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Vivanti Consulting
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Vivanti Consulting!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
