At a Glance
- Tasks: Build secure, high-performance data pipelines and deliver a new client app.
- Company: Innovative tech company launching a major greenfield data project.
- Benefits: Hybrid work model, competitive pay, and opportunity to shape a new platform.
- Why this job: Join at the start of an exciting project and make a real impact.
- Qualifications: Strong experience with Fivetran, Python, SQL, and AWS.
- Other info: Collaborate closely with leadership in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
Immersum are supporting a fantastic client who is about to kick off a major greenfield data engineering project and they’re looking to bring in a Senior Data Engineer on a 3-month rolling contract to help deliver a brand-new client-facing self-service application. This is a brilliant opportunity to join at the very start of the build. The data flows and architecture are already mapped out, but the team now needs a capable engineer to turn that design into a secure, performant and production-ready solution.
About the Role
My client is increasing their data engineering capability specifically for this project. They need someone who can hit the ground running — building ETL pipelines, implementing robust security practices, and optimising everything for high performance. You’ll work directly with the Data Lead and have full visibility with leadership to ensure the project stays on track.
Key Skills & Experience
- Strong experience using Fivetran (or similar ETL tools) to build and manage ingestion pipelines
- Excellent Python for data manipulation, automation and API integrations
- Advanced SQL and hands-on experience with Snowflake
- Solid understanding of AWS and secure cloud data design
- A performance-first mindset — building fast, scalable data processes
- Solid security best practice, access control, permissions, and safe handling of client data
What You’ll Be Working On
- Building secure, high-performance ingestion pipelines using Fivetran
- Designing and delivering API-driven data services
- Embedding security and best practices
- Working closely with the Data Lead daily
- Delivering the backend data engineering for a completely new client app
Working Arrangement
Hybrid – Ideally 1-3 days per week in the office
Start Date
Earliest: Mid-January
Target: End of January
If you’re a Senior Data Engineer with strong Fivetran experience and a passion for building greenfield, secure, high-performance data platforms, I’d love to speak with you.
Senior Data Engineer in City of London employer: Immersum
Contact Detail:
Immersum Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Get your hands dirty with some projects! If you can, work on personal or open-source projects that showcase your skills in Python, Fivetran, and AWS. This not only boosts your portfolio but also gives you something tangible to discuss in interviews.
✨Tip Number 3
Prepare for those technical interviews! Brush up on your SQL and ETL processes, and be ready to demonstrate your problem-solving skills. Practising common data engineering scenarios can really set you apart from the competition.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Senior Data Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Fivetran, Python, and AWS. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this greenfield project and how your expertise can help us build a secure, high-performance data platform.
Showcase Your Problem-Solving Skills: In your application, mention specific challenges you've faced in previous roles and how you overcame them. We love seeing a performance-first mindset in action, so share those success stories!
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 don’t miss out on any important updates about the role!
How to prepare for a job interview at Immersum
✨Know Your Tech Stack
Make sure you’re well-versed in Fivetran, Python, Snowflake, and AWS. Brush up on your ETL processes and be ready to discuss how you've implemented these technologies in past projects. This will show that you can hit the ground running.
✨Showcase Your Security Awareness
Since security is a key focus for this role, prepare examples of how you've implemented security best practices in your previous work. Be ready to discuss access control and safe handling of client data to demonstrate your understanding.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving skills, especially around building high-performance data pipelines. Think of specific challenges you've faced and how you overcame them, as this will highlight your experience and mindset.
✨Engage with the Data Lead
Since you'll be working closely with the Data Lead, show your enthusiasm for collaboration. Prepare questions about the project and express your eagerness to contribute to the team’s success. This will help you build rapport right from the start.