At a Glance
- Tasks: Design and implement scalable data pipelines using Snowflake and collaborate with cross-functional teams.
- Company: Join a leading tech firm in London with a focus on innovation.
- Benefits: Flexible work-from-home options, competitive pay, and opportunities for professional growth.
- Other info: Streamlined interview process for quick hiring.
- Why this job: Make a real impact by transforming raw data into strategic assets.
- Qualifications: 10-12 years of experience in data warehousing and expertise in Snowflake development.
The predicted salary is between 70000 - 90000 £ 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.
Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Developer Work from Home in London employer: Randstad Digital
Randstad Digital is an excellent employer for Senior Android Engineers, offering a dynamic work culture that fosters collaboration and innovation. With a focus on employee growth, the company provides opportunities for professional development and exposure to cutting-edge technologies, including AI-assisted coding tools. Located in the United Kingdom, Randstad Digital values its team members by promoting a healthy work-life balance and a supportive environment that encourages creativity and high-impact contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Developer Work from Home in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Randstad Digital before they're even advertised!
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We think you need these skills to ace Developer Work from Home in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Randstad Digital, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Randstad Digital, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Randstad Digital’s attention and show the tangible impact of your work.
How to prepare for a job interview at Randstad Digital
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Randstad Digital.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Randstad Digital.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Randstad Digital.
