At a Glance
- Tasks: Design and develop data pipelines using Azure Data Factory and DBT for a leading university.
- Company: University of Warwick, renowned for its academic excellence and research.
- Benefits: Competitive salary, 42 days holiday, excellent pension, hybrid working, and on-site leisure facilities.
- Other info: Collaborative environment with opportunities for professional growth and impactful work.
- Why this job: Join a dynamic team and enhance data accessibility and analytics in a prestigious institution.
- Qualifications: Degree in Computer Science or related field; experience with cloud-based data environments required.
The predicted salary is between 47389 - 56535 € per year.
Data Engineer FTC – 12 Months – Coventry
University of Warwick
£47,389 - £56,535 (D.O.E)
42 Days Holidays (Inc Bank Hols)
Excellent Pension Contributions
Hybrid Working
Great Food, Gym and Leisure Facilities on-site
We are seeking a new addition for our Data Labs Team to assist in the continued development and transformation processes that will ensure Warwick remains a leading and world recognised university for academia and research.
As the Data Engineer, you will be responsible for leveraging Azure Data Factory and DBT to design, develop, and maintain robust data pipelines and scalable data models. Your work will directly contribute to enhancing data accessibility, quality, and analytics capabilities within the university.
Duties and Responsibilities- Technical work to model data and Design and Develop Data Pipelines:
- Utilize Azure Data Factory to design and develop scalable and efficient data pipelines, encompassing data extraction and loading processes. Integrate data from various sources, including internal systems, third-party applications, and external data providers.
- Utilize DBT (Data Build Tool) to create and manage data transformation processes, ensuring consistent and reliable data output.
- Implement and maintain DataVault and Kimball-style data models to ensure efficient storage, retrieval, and analysis of data.
- Monitor and optimize the performance of data pipelines and data warehouses, identifying and resolving bottlenecks and inefficiencies.
- Implement data security measures, including access controls and encryption, to safeguard sensitive information. Ensure compliance with relevant data privacy and protection regulations, such as GDPR.
- Data Quality Assurance
- Implement data quality checks and validation processes within the pipelines to ensure accuracy, completeness, and consistency of data.
- Collaborate with data governance, architects, system owners and end users to ensure quality issues are addressed as needed.
- Documentation
- Create and maintain technical documentation, including data pipeline specifications, data models, and transformation logic, to facilitate knowledge sharing and support future enhancements.
- Collaboration
- Collaborate with cross-functional teams, including data analysts, data scientists, and business stakeholders, to understand requirements and deliver solutions that meet their data needs.
- Degree in Computer Science, Data Engineering, or a related field or equivalent experience.
- Strong experience working as a Data Engineer, preferably in a cloud-based environment.
- Experience with cloud-based data storage platforms, preferably Snowflake, Azure SQL Data Warehouse or AWS Redshift.
- Solid practical experience and understanding of DataVault and Kimball-style data warehousing methodologies.
- Proficient in SQL and data querying languages for data manipulation and analysis.
- Proficiency in Azure Data Factory and DBT, with a demonstrated ability to build scalable and reliable data pipelines and transformation processes.
- Familiarity with data modelling concepts and techniques, including dimensional modelling.
- Strong problem-solving and analytical skills, with the ability to analyse complex data-related issues and provide effective solutions.
- Excellent communication and collaboration skills, with the ability to work effectively in a team environment and engage with stakeholders at various levels.
Data Engineer (Azure) in Coventry employer: LinkedIn
The University of Warwick is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within its Data Labs Team. With competitive salaries, generous holiday allowances, and excellent pension contributions, employees enjoy a healthy work-life balance complemented by hybrid working options and outstanding on-site facilities, including a gym and leisure amenities. The university prioritises employee growth through continuous development opportunities, making it an ideal place for those seeking meaningful and rewarding careers in academia and research.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (Azure) in Coventry
✨Tip Number 1
Network like a pro! Reach out to current employees at the University of Warwick or in similar roles on LinkedIn. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your Azure Data Factory and DBT skills. Be ready to discuss specific projects where you've designed data pipelines or tackled data quality issues.
✨Tip Number 3
Showcase your problem-solving skills! During interviews, share examples of how you've optimised data processes or resolved bottlenecks in previous roles. This will highlight your analytical abilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Engineer (Azure) in Coventry
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Azure Data Factory, DBT, and any relevant data modelling techniques. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our Data Labs Team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects:If you've worked on any cool data projects, make sure to mention them! Whether it's building data pipelines or implementing data quality checks, we want to know what you've done and how it relates to the role.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved!
How to prepare for a job interview at LinkedIn
✨Know Your Tech Inside Out
Make sure you brush up on Azure Data Factory and DBT before the interview. Be ready to discuss how you've used these tools in past projects, and think of specific examples where you designed and developed data pipelines. This will show that you’re not just familiar with the tech, but that you can apply it effectively.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in data engineering, especially related to data quality and performance optimisation. Think of a couple of scenarios where you identified bottlenecks or implemented data security measures. This will demonstrate your analytical skills and ability to tackle complex issues.
✨Collaboration is Key
Since the role involves working with cross-functional teams, be ready to share experiences where you collaborated with data analysts, scientists, or business stakeholders. Highlight how you communicated technical concepts to non-technical team members, as this shows your ability to engage with various stakeholders.
✨Documentation Matters
Don’t underestimate the importance of documentation in data engineering. Be prepared to discuss how you’ve created and maintained technical documentation in your previous roles. This could include data pipeline specifications or transformation logic, which is crucial for knowledge sharing and future enhancements.
