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For Companies At a Glance
- Tasks: Transform data into insights and enhance our weather data product.
- Company: Join a forward-thinking organisation making impactful decisions.
- Benefits: Competitive pay, dynamic projects, and a collaborative environment.
- Why this job: Work on exciting projects that directly influence business outcomes.
- Qualifications: Expertise in Azure Data Factory, Logic Apps, and 6-8 years in data engineering.
- Other info: Contract role based in Warwick, UK, with a competitive daily rate.
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 employer: Queen Square Recruitment Ltd
Contact Detail:
Queen Square Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, especially Azure Data Factory and Snowflake. Consider working on personal projects or contributing to open-source projects that utilise these technologies to showcase your hands-on experience.
✨Tip Number 2
Network with professionals in the data engineering field, particularly 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 your previous projects in detail during interviews. Be ready to explain how you’ve used Azure Data Factory and Logic Apps to solve real-world problems, as well as how you’ve collaborated with stakeholders to enhance data products.
✨Tip Number 4
Research StudySmarter’s current data products and any recent developments in the company. Understanding our goals and challenges will help you tailor your discussions and demonstrate your genuine interest in contributing to our team.
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 how you've successfully collaborated with stakeholders in previous projects.
Showcase Relevant Projects: If you have worked on projects that involved enhancing data products or integrating data workflows, be sure to include these in your application. Highlight your problem-solving skills and any specific outcomes that resulted from your contributions.
Proofread Your Application: Before submitting your application, take the time to proofread all documents. Check for spelling and grammatical errors, and ensure that your information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at Queen Square Recruitment Ltd
✨Showcase Your Technical Skills
Be prepared to discuss your expertise in Azure Data Factory, Logic Apps, and Snowflake. Bring examples of past projects where you successfully implemented these technologies, as this will demonstrate your hands-on experience 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 data workflows and contribute to actionable insights for stakeholders.
✨Prepare for Collaboration Questions
Since collaboration is key in this role, think of examples where you've worked effectively with cross-functional teams. Highlight your communication skills and how you’ve navigated challenges in team settings to deliver successful outcomes.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and future projects. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
