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- Tasks: Design and build modern data pipelines on Azure and Snowflake.
- Company: Leading organisation transforming its data landscape.
- Benefits: Flexible 4-day work week and competitive contract rate.
- Why this job: Join a cutting-edge project and enhance your data engineering skills.
- Qualifications: Strong background in data engineering and hands-on Azure experience.
- Other info: Exciting opportunity to work with innovative technologies in a dynamic environment.
The predicted salary is between 50000 - 60000 £ 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.
Responsibilities:
- Designing and building robust batch and near-real-time ingestion pipelines
- Migrating legacy ETL/ELT into modern Azure + Snowflake patterns
- Implementing incremental loads, CDC, schema evolution, backfills
- Standardising ingestion using reusable frameworks and best practices
- Contributing to a modern data platform built on ADF, Databricks, Synapse
Skills:
- 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 (e.g., Dagster)
Apply now for more details!
Data Engineer in London employer: Verve Talent Limited
Contact Detail:
Verve Talent Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer 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 aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to data ingestion and cloud-native pipelines. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on key concepts like ETL/ELT processes and data lake patterns. We recommend practising common interview questions and even doing mock interviews with friends to build your confidence.
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities that match your skills, 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 Data Engineer 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 match the job description, 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 role and how your background makes you a perfect fit. We love seeing passion and personality in applications.
Showcase Your Technical Skills: Don’t forget to mention your hands-on experience with tools like Azure Data Factory and Databricks. We’re looking for solid SQL skills and Python proficiency, so make sure these stand out in your application.
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 this exciting opportunity. Let’s get started!
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 discuss past projects where you’ve migrated legacy ETL workloads. Highlight your approach to designing robust ingestion pipelines and any challenges you faced. Companies love to see how you tackle real-world problems.
✨Understand the Modern Data Landscape
Familiarise yourself with concepts like data lakes, lakehouses, and incremental loads. Be ready to explain how these patterns apply to the role and how you would implement them in a modern data platform.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current data architecture and their vision for the future. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.