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- Tasks: Design and build modern data pipelines on Azure and Snowflake.
- Company: Leading organisation transforming its data landscape in the heart of London.
- Benefits: Flexible 4-day work week, competitive pay, and a chance to work with cutting-edge tech.
- Why this job: Join a dynamic team and make a real impact on data transformation projects.
- Qualifications: Strong background in data engineering and hands-on experience with Azure and Snowflake.
- Other info: Exciting opportunity for growth in a collaborative 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 Slough 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 Slough
✨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 is your chance to demonstrate your hands-on experience with Azure Data Factory and Databricks in a way that stands out.
✨Tip Number 3
Prepare for the technical interview! Brush up on your SQL and Python skills, and be ready to discuss your experience with ETL/ELT processes. We recommend practicing common data engineering scenarios to impress your interviewers.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills. Plus, applying directly can sometimes give you an edge over other candidates. Don't miss out on the opportunity!
We think you need these skills to ace Data Engineer in Slough
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 for our data engineering team. Keep it concise but impactful!
Showcase Your Technical Skills: When listing your skills, focus on those mentioned in the job description like SQL, Python, and Azure Data Factory. We love seeing hands-on experience, so include specific examples of how you've used these technologies in past roles.
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. Plus, it’s super easy!
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 past projects where you’ve migrated legacy ETL workloads. Highlight any challenges you faced and how you overcame them, especially when implementing incremental loads or schema evolution.
✨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, particularly in building scalable cloud-native pipelines.
✨Ask Insightful Questions
Prepare a few thoughtful questions about their data platform and the tools they use, like Terraform or Azure DevOps. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.