At a Glance
- Tasks: Design and develop data pipelines using Azure Data Factory and DBT for a leading university.
- Company: Join a prestigious university's Data Labs Team focused on innovation and research.
- Benefits: Enjoy competitive salary, 42 days holiday, excellent pension, and hybrid working.
- Other info: Collaborative environment with opportunities for professional growth and development.
- Why this job: Make a real impact on data accessibility and analytics in academia.
- Qualifications: Degree in Computer Science or related field; strong Data Engineering experience required.
Data Engineer FTC – 18 Months
£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.
Requirements
- 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 in Coventry employer: WEG Tech
At Warwick, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration. As a Data Engineer, you'll enjoy generous benefits including 42 days of holiday, excellent pension contributions, and access to outstanding on-site facilities such as a gym and leisure amenities. Our commitment to employee growth is evident through opportunities for professional development, making this an ideal environment for those seeking meaningful and rewarding careers in academia and research.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Coventry
✨Tip Number 1
Network like a pro! Reach out to current employees at the university or in similar roles on LinkedIn. A friendly chat can give us 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. We want to show off our knowledge and be ready to discuss how we can tackle their data challenges head-on.
✨Tip Number 3
Don’t forget to showcase our past projects! Bring examples of data pipelines we've built or optimised. This will help us demonstrate our hands-on experience and problem-solving skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our submission to highlight how we fit the role perfectly.
We think you need these skills to ace Data Engineer 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!
Showcase Your Projects:Include specific projects where you've designed and developed data pipelines or worked with cloud-based data storage. This gives us a clear picture of your hands-on experience and problem-solving skills.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points for your achievements and responsibilities to make it easy for us to read. We appreciate straightforward communication!
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. We can’t wait to see what you bring to the table!
How to prepare for a job interview at WEG Tech
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Azure Data Factory and DBT. Be ready to discuss how you've used these tools in past projects, and think of specific examples where you've 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 around data quality and performance optimisation. Think of a couple of scenarios where you identified bottlenecks and how you resolved them. 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.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about their data governance practices, team dynamics, or future projects. This not only shows your interest in the role but also helps you gauge if the company culture aligns with your values.
