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- Tasks: Design and build a large-scale Azure data platform from scratch.
- Company: Join a dynamic small to medium-sized business in Central London.
- Benefits: Earn up to £120,000 plus pension and funding for courses.
- Why this job: Work in a high-trust environment with strong engineers and no micromanagement.
- Qualifications: Solid experience with Snowflake and understanding of Data Warehouse architecture.
- Other info: Enjoy autonomy and excellent career development opportunities.
The predicted salary is between 72000 - 84000 £ per year.
Location: London
Salary: Up to £120,000 base salary + benefits
Work Schedule: 3–4 days a week in Central London
About the Role:
I’m working with a small to medium sized business who are looking for 3x Senior Data Engineers who can start immediately or by the end of March at the latest. This is greenfield work. You’ll be helping design and build a large-scale Azure data platform from the ground up.
Responsibilities:
- Designing, building and maintaining data pipelines and warehouses that support analytics and reporting across the business.
Required Skills:
- Python
- Snowflake
- Databricks
- Good understanding of Data Warehouse architecture
- Solid commercial experience with Snowflake
Team Environment:
The team is one of the main reasons this role stands out. It’s a high trust environment with strong engineers and no micromanagement. You’ll be given autonomy and backed to make decisions.
Benefits:
The salary is really good up to £120,000 base, good pension, and they’ll pay for courses or certifications if you want to develop further.
Interview Process:
2-stage interview process with no technical task.
If you’re a Senior Data Engineer and this sounds like something you’d want to hear more about, drop me a message and I’ll run you through it.
Senior Data Engineer (Azure/Snowflake) employer: Tact
Contact Detail:
Tact Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (Azure/Snowflake)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure or Snowflake. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Prepare for those interviews! Since this role has no technical task, focus on showcasing your experience with data pipelines and warehouse architecture. Be ready to discuss your past projects and how you’ve tackled challenges in a high-trust environment.
✨Tip Number 3
Show your passion for learning! Mention any courses or certifications you’re interested in during the interview. This shows you’re keen to develop further and fit right into their supportive culture.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re here to help you every step of the way in landing that dream job as a Senior Data Engineer.
We think you need these skills to ace Senior Data Engineer (Azure/Snowflake)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure and Snowflake. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this opportunity and how you can contribute to building the Azure data platform. Let us know what makes you tick!
Showcase Your Autonomy: Since we value a high-trust environment, share examples of when you’ve taken initiative in past roles. We love to see candidates who can work independently and make impactful decisions.
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 from our team!
How to prepare for a job interview at Tact
✨Know Your Tech Inside Out
Make sure you have a solid grasp of Azure and Snowflake, as well as data warehouse architecture. Brush up on your Python skills too! Be ready to discuss your previous projects and how you've used these technologies to solve real-world problems.
✨Showcase Your Autonomy
Since the company values autonomy and decision-making, prepare examples from your past work where you took initiative. Highlight situations where you designed or built data pipelines independently and the impact it had on the project.
✨Understand the Business Context
Research the company and its industry. Understand how data analytics and reporting can drive their business forward. This will help you tailor your answers and show that you're not just a techie but also someone who understands the bigger picture.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics and the greenfield projects you'll be working on. This shows your genuine interest in the role and helps you assess if the environment is the right fit for you.