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For Companies At a Glance
- Tasks: Transform data into insights and manage weather data products.
- Company: Join a forward-thinking organisation making impactful decisions.
- Benefits: Competitive pay, collaborative environment, and hands-on experience with cutting-edge technology.
- Why this job: Work on exciting projects that directly influence business outcomes.
- Qualifications: 6-8 years in data engineering, expert in Azure Data Factory and Snowflake.
- Other info: Contract role based in Warwick, fully office-based for 6 months.
Are you passionate about transforming data into actionable insights? Do you thrive in fast-paced environments where your skills directly impact business decisions? We are seeking an experienced Data Engineer to join our team on a contract basis in Warwick, UK.
About the Role:
As a Data Engineer, you will be at the forefront of managing and enhancing our weather data product. Your expertise will help streamline data workflows, ensure seamless integration with Snowflake, and leverage Azure Data Factory and Logic Apps to deliver high-quality data solutions.
Key Responsibilities:
- Collaborate with stakeholders to deliver small enhancement requests and improve data products.
- Design, develop, and maintain data pipelines using Azure Data Factory, Logic Apps, and DataOps practices.
- Integrate data workflows with Snowflake to support analytics and reporting.
- Communicate effectively across teams to ensure smooth project delivery.
Ideal Candidate Profile:
- Expert-level proficiency in Azure Data Factory (ADF)
- Hands-on experience with Logic Apps and DataOps methodologies
- Strong knowledge of Snowflake data platform
- 6 to 8 years of relevant experience in data engineering and cloud environments
- Excellent collaboration and problem-solving skills
Contract Details:
- Location: Warwick, UK (Office-based)
- Duration: 6 months, rolling
- Rate: Competitive, aligned with market standards (minimum market rate approx. £500-£600/day)
- Mode: Fully office-based
This is an excellent opportunity to work on impactful projects within a forward-thinking organization. If you meet the criteria and are ready to make a difference, we’d love to hear from you.
Data Engineer (Warwick) employer: Queen Square Recruitment
Contact Detail:
Queen Square Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Warwick)
✨Tip Number 1
Familiarise yourself with Azure Data Factory and Snowflake by working on personal projects or contributing to open-source initiatives. This hands-on experience will not only enhance your skills but also give you practical examples to discuss during interviews.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who have experience with Azure and Snowflake. Attend local meetups or online webinars to build connections that could lead to referrals or insider information about the role.
✨Tip Number 3
Prepare to discuss specific challenges you've faced in previous roles related to data integration and pipeline development. Being able to articulate your problem-solving process will demonstrate your expertise and fit for the position.
✨Tip Number 4
Research StudySmarter's current data products and think of potential enhancements or improvements you could suggest. Showing initiative and a proactive mindset can set you apart from other candidates during the interview process.
We think you need these skills to ace Data Engineer (Warwick)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Data Factory, Logic Apps, and Snowflake. Use specific examples from your past roles to demonstrate your expertise in data engineering and cloud environments.
Craft a Compelling Cover Letter: In your cover letter, express your passion for transforming data into actionable insights. Mention how your skills align with the responsibilities of the role and provide examples of how you've successfully collaborated with stakeholders in previous projects.
Showcase Relevant Projects: If you have worked on projects that involved data pipelines or integration with Snowflake, be sure to include these in your application. Describe your role and the impact your contributions had on the project's success.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in a data engineering role.
How to prepare for a job interview at Queen Square Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Azure Data Factory, Logic Apps, and Snowflake in detail. Bring examples of past projects where you successfully implemented these technologies, as this will demonstrate your hands-on expertise.
✨Understand the Business Impact
Research how data engineering contributes to business decisions, especially in the context of weather data products. Be ready to explain how your work can transform data into actionable insights that drive results.
✨Emphasise Collaboration
Since the role involves working closely with stakeholders, highlight your collaboration skills. Prepare examples of how you've effectively communicated and worked with cross-functional teams to deliver successful projects.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities. Think of scenarios where you faced challenges in data workflows or integration processes, and be ready to discuss how you overcame them using DataOps methodologies.
