At a Glance
- Tasks: Design and implement high-performance data pipelines using Snowflake.
- Company: Join a leading tech firm in London with a collaborative culture.
- Benefits: Competitive pay, flexible hybrid work, and opportunities for professional growth.
- Other info: Fast-track interview process for immediate hiring.
- Why this job: Make an impact by transforming raw data into strategic insights.
- Qualifications: 10-12 years in data warehousing with expertise in Snowflake and SQL.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking a hands-on Senior Data Warehouse Developer with 10-12 years of experience to design and implement scalable, high-performance data pipelines. You will collaborate with a cross-functional team of architects and analysts to optimize large-scale datasets, transforming raw information into strategic assets.
Your Impact:
- Pipeline Engineering: Build and optimize scalable ETL/ELT workflows and data pipelines for structured and semi-structured datasets (exposure to policy/insurance data preferred).
- Snowflake Innovation: Drive CDC-based incremental processing using Snowflake Streams, Tasks, Snowpipe, Dynamic Tables, and Stored Procedures.
- Data Modeling: Design robust fact, dimension, and star schema models while focusing on query performance and cost optimization.
- Collaboration: Partner with Agile cross-functional teams and clearly translate complex data concepts to non-technical business stakeholders.
Your Experience:
- Experience Level: 10-12+ years in data warehousing.
- Core Skills: Deep expertise in Snowflake development, Advanced SQL, Azure SQL, and Azure Data Factory.
- Snowflake Toolkit: Hands-on with Snowpipe, Streams, Tasks, Dynamic Tables, and Stored Procedures.
- Nice to Have: Exposure to DBT, Snowpark, Snowflake AI/ML, Airflow, and Snowflake administration (RBAC, warehouse sizing).
- Mindset: Strong problem-solving abilities with an ownership mindset for end-to-end delivery.
This is an urgent vacancy featuring a streamlined interview process. Please apply with your CV or send it directly to manisha.devaruppala@randstaddigital.com.
Snowflake Developer in London employer: Randstad Digital
At Randstad Technologies, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. Our London-based team offers flexible hybrid working arrangements, competitive compensation, and opportunities for professional growth in the rapidly evolving field of data warehousing. Join us to be part of a dynamic environment where your expertise in Snowflake development will be valued and where you can make a significant impact on our clients' success.
StudySmarter Expert Advice🤫
We think this is how you could land Snowflake Developer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data warehousing space, especially those who work 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 best projects, especially those involving ETL/ELT workflows and Snowflake. This will give potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for the interview by brushing up on your problem-solving skills. Be ready to discuss how you've tackled complex data challenges in the past, especially in collaborative settings with cross-functional teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the quickest way to get your application noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Snowflake Developer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Snowflake Developer role. Highlight your experience with data warehousing, Snowflake, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples of how you've built and optimised data pipelines or worked with ETL/ELT workflows. This helps us understand your hands-on experience and problem-solving abilities.
Keep It Clear and Concise:We appreciate clarity! Make sure your application is easy to read and straight to the point. Avoid jargon unless it’s relevant to the role. Remember, we want to see your expertise without getting lost in the details.
Apply Through Our Website:For the best chance of success, apply directly through our website. This ensures your application gets to the right people quickly. Plus, it shows us you're serious about joining our team at StudySmarter!
How to prepare for a job interview at Randstad Digital
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake knowledge before the interview. Be ready to discuss your experience with Snowpipe, Streams, and Tasks, as well as how you've optimised data pipelines in previous roles. The more specific examples you can provide, the better!
✨Showcase Your Data Modelling Skills
Prepare to talk about your experience designing fact, dimension, and star schema models. Think of a few projects where you focused on query performance and cost optimisation, and be ready to explain your thought process and the outcomes.
✨Communicate Like a Pro
Since you'll be collaborating with non-technical stakeholders, practice explaining complex data concepts in simple terms. This will demonstrate your ability to bridge the gap between technical and business teams, which is crucial for this role.
✨Emphasise Your Problem-Solving Mindset
Be prepared to share examples of challenges you've faced in data warehousing and how you tackled them. Highlight your ownership mindset and how you ensure end-to-end delivery, as this aligns perfectly with what they're looking for.
