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- Tasks: Design and build cloud-native data pipelines on Azure and Snowflake.
- Company: Leading organisation modernising its data landscape in the heart of London.
- Benefits: Flexible 4-day work week, competitive pay, and a dynamic work environment.
- Why this job: Join a cutting-edge project and shape the future of data engineering.
- Qualifications: Strong background in data engineering with hands-on Azure and SQL experience.
- Other info: Opportunity to work with innovative technologies and grow your career.
The predicted salary is between 50000 - 65000 £ per year.
A leading organisation is modernising its data ingestion landscape and looking for a Data Engineer to help migrate legacy ETL workloads into scalable, cloud-native pipelines on Azure and Snowflake.
- Designing and building robust batch and near-real-time ingestion pipelines
- Contributing to a modern data platform built on ADF, Databricks, Synapse
- Strong data engineering background with a focus on data ingestion
- Hands-on experience with Azure Data Factory, Databricks, Synapse
- Solid SQL and experience with Snowflake
- Proficiency in Python for data processing and automation
- Understanding of data lake/lakehouse patterns
- Exposure to Terraform, Azure DevOps, and orchestration tools
Senior Engineer, Data Engineering in London employer: Verve Talent Limited
Contact Detail:
Verve Talent Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineer, Data Engineering in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure and Snowflake. A friendly chat can lead to insider info about job openings that might not even be advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure Data Factory and Databricks. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. Be ready to discuss your experience with data ingestion and cloud-native pipelines. We want to see how you can contribute to modernising data platforms!
✨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 proactive and eager to join our team.
We think you need these skills to ace Senior Engineer, Data Engineering in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure, Snowflake, and data ingestion. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
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 your background makes you a perfect fit for our data engineering team.
Showcase Your Technical Skills: When detailing your experience, focus on your hands-on work with tools like Azure Data Factory and Databricks. We love seeing specific examples of how you've built pipelines or automated processes!
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’re considered for the role without any hiccups!
How to prepare for a job interview at Verve Talent Limited
✨Know Your Tech Stack
Make sure you’re well-versed in Azure Data Factory, Databricks, and Snowflake. Brush up on your SQL skills and be ready to discuss how you've used Python for data processing. The more specific examples you can provide, the better!
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in data ingestion and how you tackled them. Companies love to hear about your thought process and the solutions you implemented, especially when it comes to modernising legacy systems.
✨Understand the Bigger Picture
Familiarise yourself with data lake and lakehouse patterns. Be ready to explain how these concepts fit into the overall architecture of a modern data platform. This shows that you’re not just focused on the technical details but also understand their strategic importance.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s data strategy and the tools they use. This not only demonstrates your interest but also gives you a chance to assess if the role aligns with your career goals. Plus, it makes for a great conversation starter!