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- Tasks: Design and implement data models, develop ingestion pipelines, and optimise Snowflake warehouses.
- Company: DGH Recruitment, a leading recruitment agency in the UK.
- Benefits: 12-month contract with competitive pay and valuable experience.
- Other info: Opportunity to work onsite for three days a week and grow your career.
- Why this job: Join a dynamic team and enhance your skills in a cutting-edge data environment.
- Qualifications: Strong experience with Snowflake and Azure Data Factory; excellent communication skills required.
The predicted salary is between 50000 - 65000 £ per year.
DGH Recruitment is looking for a Snowflake Engineer for a 12-month fixed-term contract based in the United Kingdom. This role requires designing and implementing dimensional data models and encompasses responsibilities such as developing data ingestion pipelines, optimising Snowflake warehouses, and managing security policies.
The ideal candidate will have strong hands-on experience with Snowflake and proven knowledge of Azure Data Factory. Excellent communication skills are essential as the position involves liaising with non-technical stakeholders.
Snowflake Data Engineer — 3 Days Onsite, 12‐Month Contract in London employer: Dgh Recruitment
Contact Detail:
Dgh Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Snowflake Data Engineer — 3 Days Onsite, 12‐Month Contract in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who have experience with Snowflake. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to Snowflake and Azure Data Factory. 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 your communication skills. Since you'll be liaising with non-technical stakeholders, practice explaining complex concepts in simple terms. This will help you shine during the interview!
✨Tip Number 4
Don't forget to apply through our website! We regularly update our job listings, 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 Snowflake Data Engineer — 3 Days Onsite, 12‐Month Contract in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake and Azure Data Factory. 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 the perfect fit for this role. We love seeing enthusiasm and a clear understanding of the responsibilities involved.
Showcase Communication Skills: Since you'll be liaising with non-technical stakeholders, it's crucial to demonstrate your communication skills in your application. We appreciate candidates who can convey complex ideas simply and effectively.
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 us!
How to prepare for a job interview at Dgh Recruitment
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake knowledge before the interview. Be ready to discuss your hands-on experience, especially with data ingestion pipelines and optimising warehouses. Prepare examples of how you've tackled challenges in previous roles using Snowflake.
✨Show Off Your Azure Data Factory Skills
Since the role requires proven knowledge of Azure Data Factory, be prepared to talk about specific projects where you've used it. Highlight any successful data integration or transformation tasks you've completed, and how they benefited the overall project.
✨Communicate Like a Pro
This position involves liaising with non-technical stakeholders, so practice explaining complex technical concepts in simple terms. Think of examples where you've successfully communicated with different teams and how that led to better collaboration.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about the company's data strategy, team dynamics, and how they measure success in this role. This shows your genuine interest and helps you assess if it's the right fit for you.