At a Glance
- Tasks: Design and build robust data pipelines using Python, SQL, and cloud platforms.
- Company: Join a growing consultancy with a collaborative and learning-led culture.
- Benefits: Enjoy flexible work, training opportunities, and a supportive environment.
- Why this job: Make an impact on enterprise-scale projects across diverse industries.
- Qualifications: Strong data engineering experience and passion for technology.
- Other info: Participate in team lunches, tech meetups, and board game nights.
The predicted salary is between 43200 - 72000 £ per year.
I am working with a growing consultancy where curious, collaborative technologists do the best work of their careers — and keep learning while they do it. They are growing their London data engineering team and are looking for Senior Data Engineers (with some flexibility for exceptional Consultant and Principal level candidates) who are passionate about modern data platforms and enjoy solving complex, real-world problems. You’ll work on enterprise-scale projects across industries like financial services, energy, insurance and healthcare, with plenty of options to rotate through different projects.
What you’ll be doing:
- Designing and building robust data pipelines and platforms
- Working with Python, SQL and cloud platforms (AWS preferred, GCP/Azure welcome)
- Delivering data solutions using tools like Snowflake, Databricks, dbt and Airflow
- Partnering closely with clients and internal teams to shape outcomes
What makes Vivanti different:
- A genuinely collaborative, social and learning-led culture — think Training Tuesdays, tech meetups, team lunches and board game nights
- Consultant-led development: we fund certifications, training and time to explore new tech
- Strong commitment to diversity, inclusion and neurodiversity — we value different thinking styles and backgrounds
- Industry-agnostic, tech-agnostic consulting with access to cutting-edge tools and global clients
- Clear progression, transparent feedback and real support to accelerate your career
About you:
- Strong data engineering experience
- Python, SQL and Cloud (ideally AWS but open to Azure/GCP)
- Excited by technology — side projects, blogs, GitHub or community involvement are a big plus
- You have the right to work in the UK (no sponsorship available)
Location: London (3 days per week in the office, typically Tue–Thu)
If you’re looking for more learning, more variety and more impact, this might be the place for you.
Senior Data Engineer employer: Inara
Contact Detail:
Inara Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those using Python, SQL, or cloud platforms. This is your chance to shine and demonstrate your passion for tech.
✨Tip Number 3
Prepare for the interview by brushing up on common data engineering challenges. Think about how you’d tackle real-world problems and be ready to share your thought process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Data Engineer role. Highlight your experience with Python, SQL, and cloud platforms like AWS, as well as any relevant projects you've worked on.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering and how you can contribute to our collaborative culture. Share specific examples of your work and how it relates to the projects we tackle.
Show Off Your Side Projects: If you've got side projects, blogs, or GitHub contributions, don’t hold back! These can really showcase your enthusiasm for technology and problem-solving, which is exactly what we're looking for.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to see your application and get you into our hiring process smoothly. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Inara
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, SQL, and cloud platforms like AWS. Brush up on your knowledge of tools like Snowflake, Databricks, and Airflow. Being able to discuss your experience with these technologies confidently will show that you're the right fit for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex data challenges. Think about how you designed and built data pipelines or delivered solutions in previous roles. This will demonstrate your ability to handle real-world problems effectively.
✨Emphasise Collaboration
Since the company values a collaborative culture, be ready to talk about how you’ve worked with teams in the past. Share experiences where you partnered with clients or internal teams to achieve successful outcomes. This will highlight your teamwork skills and alignment with their culture.
✨Express Your Passion for Learning
The consultancy is looking for candidates who are excited about technology and continuous learning. Mention any side projects, blogs, or community involvement that showcase your enthusiasm for the field. This will help you stand out as someone who is committed to growth and innovation.