At a Glance
- Tasks: Manage and optimise Snowflake data pipelines for analytics and reporting.
- Company: Join a leading FTSE250 organisation making waves in data science.
- Benefits: Enjoy remote work flexibility and competitive pay of £500 per day.
- Why this job: Be part of a dynamic team, enhancing data processes with real impact.
- Qualifications: Experience with Snowflake and data engineering is essential.
- Other info: This is a 6-month contract, inside IR35, with occasional office visits.
The predicted salary is between 72000 - 108000 £ per year.
My client, a FTSE250 organisation require a Snowflake Data Engineer to provide data engineering support for the Data Science and Consumer Insight team.
Check out the role overview below If you are confident you have got the right skills and experience, apply today.
The contractor will be responsible for maintaining and optimising the existing Snowflake Lab environment, which ingests and transforms data from SAP BICC and other sources to support reporting and analytics.
Key deliverables:
– Managing and improving the existing data ingestion and transformation pipelines within Snowflake.
– Enhancing automation, reliability, and monitoring of daily update processes.
– Supporting and optimising Power BI data models that depend on the Snowflake Lab.
– Collaborating with the central data team to integrate newly available enterprise datasets into the Lab, ensuring efficient and controlled adoption.
– Supporting ad hoc data ingestion and preparation to meet the needs of analysts and data scientists, including custom datasets and one-off data requests.
– Contributing to the development of data handling procedures and best practices, helping to ensure long-term maintainability and scalability of the lab environment.
– Ownership and day-to-day management of the Commercial Insight\’s Snowflake environment and pipelines.
– Review of existing data structures and processes and design of a plan for improvements where appropriate.
– Documented processes for all major data ingestion and transformation jobs, including failure handling and recovery procedures.
– Automated, monitored, and version-controlled update pipelines (where feasible).
– Refactored or enhanced Power BI semantic models to improve performance and usability.
– Integration of centrally provided datasets into the Snowflake Lab, delivered in coordination with the central data team
This is a great opportunity to work for a leading business, the role is remote based and occasional travel to office from time-to-time. The role is inside IR35 and a 6 month contract to start with. Apply for immediate response
Remote working/work at home options are available for this role.
Data Engineer (Snowflake) - £500 per day - Inside IR35 - Remote employer: The Bridge IT Recruitment
Contact Detail:
The Bridge IT Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Snowflake) - £500 per day - Inside IR35 - Remote
✨Tip Number 1
Familiarise yourself with Snowflake's features and functionalities. Being able to discuss specific use cases or improvements you've implemented in previous roles can really set you apart during interviews.
✨Tip Number 2
Showcase your experience with data ingestion and transformation pipelines. Be prepared to share examples of how you've optimised these processes, especially if you've worked with SAP BICC or similar systems.
✨Tip Number 3
Highlight your collaboration skills, particularly in working with data teams. Discuss any past experiences where you successfully integrated new datasets or improved existing data models, as this is crucial for the role.
✨Tip Number 4
Prepare to talk about your approach to documentation and best practices in data handling. Employers value candidates who can ensure long-term maintainability and scalability, so be ready to share your strategies.
We think you need these skills to ace Data Engineer (Snowflake) - £500 per day - Inside IR35 - Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience with Snowflake, data ingestion, and transformation pipelines. Use specific examples that demonstrate your skills in managing and optimising data environments.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with the key deliverables outlined in the job description, such as enhancing automation and supporting Power BI data models.
Showcase Relevant Projects: If you have worked on similar projects, include them in your application. Detail your contributions to data handling procedures, failure recovery processes, and any improvements you've made to existing data structures.
Highlight Collaboration Skills: Since the role involves collaborating with the central data team, emphasise your teamwork and communication skills. Provide examples of how you've successfully worked with others to integrate datasets or improve data processes.
How to prepare for a job interview at The Bridge IT Recruitment
✨Showcase Your Snowflake Expertise
Make sure to highlight your experience with Snowflake during the interview. Be prepared to discuss specific projects where you've managed data ingestion and transformation pipelines, as well as any challenges you faced and how you overcame them.
✨Demonstrate Problem-Solving Skills
The role requires optimising existing processes and enhancing automation. Prepare examples of how you've improved data workflows or resolved issues in previous roles, particularly in relation to data handling and pipeline management.
✨Familiarise Yourself with Power BI
Since the position involves supporting and optimising Power BI data models, brush up on your knowledge of Power BI. Be ready to discuss how you've integrated Power BI with Snowflake or similar platforms in the past.
✨Understand Collaboration Dynamics
Collaboration with the central data team is key in this role. Think of examples where you've worked effectively in a team setting, especially when integrating new datasets or developing best practices for data handling.