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- Tasks: Enhance customer data platform by ingesting and transforming data in Snowflake.
- Company: Leading telecom organisation in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Exciting projects with potential for career advancement in a fast-paced environment.
- Why this job: Join a dynamic team and make a real impact on data-driven decisions.
- Qualifications: 3+ years experience in SQL, Python, DBT, and cloud technologies.
The predicted salary is between 50000 - 60000 £ per year.
A leading telecom organization in the UK is seeking an experienced Analytics Engineer to enhance their customer data platform. You'll be responsible for ingesting and transforming data in Snowflake using DBT, and supporting the building of the data warehouse.
Candidates should have at least 3 years of experience in SQL, Python, DBT, and cloud technologies such as Snowflake. Familiarity with dimensional modeling is essential, and experience with real-time streaming technologies like Kafka is a plus.
Analytics Engineer: Build Scalable Data Platform Snowflake employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer: Build Scalable Data Platform Snowflake
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with SQL, Python, and DBT. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of Snowflake and dimensional modeling. Practise common interview questions related to analytics engineering to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Analytics Engineer: Build Scalable Data Platform Snowflake
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and DBT. We want to see how your skills align with the role of an Analytics Engineer, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about data platforms and how your background makes you a perfect fit for enhancing our customer data platform.
Showcase Your Technical Skills: Don’t forget to mention your familiarity with Snowflake and dimensional modeling. If you’ve worked with real-time streaming technologies like Kafka, make sure to include that too – it could set you apart from other candidates!
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 during the process!
How to prepare for a job interview at Harnham
✨Know Your Tech Inside Out
Make sure you brush up on your SQL, Python, and DBT skills before the interview. Be ready to discuss how you've used these technologies in past projects, especially in relation to Snowflake and building data warehouses.
✨Showcase Your Dimensional Modelling Skills
Familiarity with dimensional modelling is a must for this role. Prepare examples of how you've implemented dimensional models in previous work, and be ready to explain your thought process behind them.
✨Real-Time Streaming Experience Matters
If you've worked with real-time streaming technologies like Kafka, make sure to highlight that experience. Discuss specific scenarios where you’ve integrated streaming data into analytics workflows.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's data platform and their future plans. This shows your genuine interest in the role and helps you assess if it's the right fit for you.