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 innovation.
- Benefits: Paid certifications, mentoring, hackathons, and a vibrant team culture.
- Other info: Enjoy a supportive environment with transparent progress reviews and fun team socials.
- 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
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) employer: Vivanti Consulting
Contact Detail:
Vivanti Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (AWS)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving AWS and data engineering. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data engineering. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Senior Data Engineer (AWS)
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 genuinely excited about the role and the impact you can make. Share your journey in data engineering and what drives you to keep learning.
Tailor Your CV: Don’t just send a generic CV! Make sure to highlight your relevant experience with AWS and any cool projects you've worked on. We love seeing how your skills align with what we do, so be specific about your achievements and the tools you’ve used.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for our team. Use it to connect your experiences to our values and the role. Be authentic and let us know how you can contribute to our mission of helping clients move forward.
Apply Through Our Website: We encourage you to apply directly through our website! It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our company culture there, which can help you tailor your application even more.
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 tackled them. This role is all about critical thinking and problem-solving, so highlight your ability to untangle complex issues and deliver actionable insights.
✨Demonstrate Your Collaborative Spirit
Since you'll be working closely with Data Scientists and DevOps teams, be ready to talk about your experience collaborating with others. Share specific instances where teamwork led to successful project outcomes, showing that you're not just a lone wolf.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's culture, growth opportunities, and the technologies they use. This shows your genuine interest in the role and helps you assess if it's the right fit for you.