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- Tasks: Transform data into insights and enhance our weather data product.
- 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 in a dynamic setting.
- Qualifications: Expertise in Azure Data Factory, Logic Apps, and 6-8 years in data engineering required.
- Other info: This is a contract role based in Warwick, UK, fully office-based.
The predicted salary is between 60000 - 84000 £ per year.
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.
Contact Detail:
Queen Square Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨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 concrete 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 industry meetups or webinars to connect with potential colleagues and learn about their experiences, which can provide valuable insights for your application.
✨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 readiness for the role.
✨Tip Number 4
Research StudySmarter's current data products and think about how you could contribute to enhancing them. Showing that you understand our business and have ideas for improvement can set you apart from other candidates.
We think you need these skills to ace Data Engineer
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 successful projects you've worked on that relate to the job description.
Highlight Collaboration Skills: Since effective communication and collaboration are key for this role, include instances where you successfully worked with stakeholders or cross-functional teams to deliver projects. This will showcase your ability to thrive in a fast-paced environment.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail and professionalism, which is crucial for a Data Engineer.
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 projects where you've successfully implemented these technologies, as this will demonstrate your expertise and problem-solving abilities.
✨Understand the Business Impact
Research how data engineering impacts business decisions, especially in the context of weather data products. Be ready to explain how your work can enhance decision-making processes and contribute to the company's goals.
✨Prepare for Collaboration Questions
Since collaboration is key in this role, think of examples where you've worked effectively with stakeholders or cross-functional teams. Highlight your communication skills and how you ensure smooth project delivery.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy, team dynamics, and future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
