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- Tasks: Design and build scalable data pipelines for a modern data platform.
- Company: Expanding FinTech company with a focus on innovation.
- Benefits: Up to ÂŁ90,000 salary, bonus, hybrid work, and funded tech courses.
- Why this job: Shape a greenfield project and make a real impact in data engineering.
- Qualifications: Strong SQL and Azure experience; Snowflake knowledge is a plus.
- Other info: Embrace a culture of learning with flexible device choices.
The predicted salary is between 90000 - 90000 ÂŁ per year.
I’m currently working with a FinTech company expanding across Europe who are looking to hire a Senior Data Engineer to help build a modern, enterprise-level data platform. This is a greenfield project, so you’ll have the chance to help shape the architecture and tooling from the beginning rather than maintaining legacy systems.
In this role, you’ll be working across the Azure and Snowflake ecosystem, helping build a mission-critical data platform that will support the company’s continued growth.
What you’ll be doing:
- Designing and building scalable data pipelines and data platforms
- Working across Azure and Snowflake to support enterprise data workloads
- Collaborating with engineers and stakeholders to build a modern data platform from scratch
- Contributing to architecture decisions and engineering best practices
Tech you’ll get to work with:
- Azure (Data Factory, Databricks, Fabric, SQL, Cosmos DB, Storage)
- Snowflake
- Python
- SQL
- Terraform / Kubernetes
What they’re looking for:
- Strong SQL experience
- Experience working with Azure data technologies
- 1+ year of Snowflake experience
You don’t need experience with the entire stack - they’re open to people who are strong in Azure and SQL and want to continue developing their Snowflake expertise.
Culture:
The culture is very much “fail first, learn fast.” Learning and development are taken seriously, and they’ll fund any tech course or certification you want to take. You’ll also be able to choose the device you work on — Mac, Linux or Windows.
If you’re interested in hearing more, feel free to apply or message me directly, and I can share further details. No need to have an up-to-date CV right now.
Senior Data Engineer (Snowflake/Azure) in London employer: Tact
Contact Detail:
Tact Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (Snowflake/Azure) in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or any projects that highlight your experience with Azure and Snowflake, make sure to share them during interviews. It’s a great way to demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your SQL and Azure knowledge. Practice common data engineering problems and be ready to discuss how you’d approach building scalable data pipelines.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Engineer (Snowflake/Azure) in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your application to highlight your experience with Azure and Snowflake. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects!
Showcase Your SQL Skills: Since strong SQL experience is a must-have, be sure to include specific examples of how you've used SQL in your previous roles. We love seeing real-world applications of your skills!
Emphasise Your Learning Mindset: Given our culture of 'fail first, learn fast', it’s important to demonstrate your willingness to learn and grow. Mention any courses or certifications you’re interested in pursuing, especially those related to data engineering.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Tact
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Azure and Snowflake. Brush up on your SQL skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Since this is a greenfield project, be prepared to talk about how you approach designing scalable data pipelines. Share examples of challenges you've faced and how you overcame them, demonstrating your ability to learn from failures.
✨Collaborate and Communicate
Highlight your experience working with cross-functional teams. Be ready to discuss how you’ve collaborated with engineers and stakeholders in the past to build data platforms, as communication is key in this role.
✨Embrace Continuous Learning
Given the company’s culture of 'fail first, learn fast', express your enthusiasm for learning new technologies. Mention any relevant courses or certifications you’re interested in pursuing, showing that you’re proactive about your professional development.