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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.
- Qualifications: 6-8 years in data engineering, expert in Azure Data Factory, and strong Snowflake knowledge.
- Other info: Contract role based in Warwick, UK, 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 employer: Queen Square Recruitment
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 Logic Apps by working on personal projects or contributing to open-source initiatives. This hands-on experience will not only enhance your skills but also demonstrate your commitment to the role.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who have experience with Snowflake. Attend industry meetups or webinars to gain insights and potentially get referrals that could help you land the job.
✨Tip Number 3
Prepare to discuss specific examples of how you've improved data workflows in previous roles. Being able to articulate your problem-solving process and the impact of your work will set you apart during interviews.
✨Tip Number 4
Stay updated on the latest trends and best practices in data engineering and cloud technologies. This knowledge will not only help you in interviews but also show that you're proactive and passionate about your field.
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 that 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.
Highlight Collaboration Skills: Since the role requires effective communication across teams, emphasise your collaboration and problem-solving skills. Include instances where you successfully worked with stakeholders to deliver enhancements or improvements.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
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 enhance decision-making processes and improve overall business outcomes.
✨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 problem-solving skills and how you’ve navigated challenges in a team setting.
✨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.
