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- Tasks: Help modernise data ingestion by migrating ETL workloads to Azure and Snowflake.
- Company: Leading organisation in the tech industry with a focus on innovation.
- Benefits: Flexible 4-day work week, competitive pay, and hands-on experience with cutting-edge tools.
- Why this job: Join a dynamic team and make a real impact on data transformation projects.
- Qualifications: Strong background in data engineering and experience with Azure and Snowflake.
- Other info: Opportunity for professional growth in a collaborative environment.
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
Ingegnere dei dati (f/m) in London employer: Verve Talent Limited
Contact Detail:
Verve Talent Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Ingegnere dei dati (f/m) 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, 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 think and solve problems, so practice explaining your thought process!
✨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 take the initiative to connect with us directly.
We think you need these skills to ace Ingegnere dei dati (f/m) 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!
Showcase Your Technical Skills: When detailing your experience, focus on your hands-on work with tools like Azure Data Factory and Databricks. We’re looking for solid examples of how you’ve used these technologies in real-world scenarios.
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 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 previous projects, especially around data ingestion. Think of a couple of scenarios where you had to design robust pipelines or modernise existing ones, and explain your thought process.
✨Understand the Company’s Goals
Research the organisation's current data landscape and their goals for modernisation. This will help you tailor your answers to show how your skills align with their needs, making you a more attractive candidate.
✨Ask Insightful Questions
Prepare some thoughtful questions about their data platform and the technologies they use. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.