At a Glance
- Tasks: Design and implement scalable data architectures and pipelines using Azure tools.
- Company: Leading organisation with a focus on modern cloud-native data platforms.
- Benefits: Competitive daily rate, hybrid work model, and opportunity for professional growth.
- Other info: Mentorship opportunities and collaboration with talented professionals in a supportive environment.
- Why this job: Join a dynamic team and lead the transition to innovative data solutions.
- Qualifications: Strong Python and SQL skills, Azure experience, and a passion for data engineering.
The predicted salary is between 81000 - 81000 £ per year.
A leading organization is seeking a Senior Data Engineer to join their cloud data platform team on a hybrid basis (3 days in office, Warwick). This is a 6-month contracting role offering competitive daily rates and the opportunity to contribute to a modern, cloud-native data platform.
The Role
You will be responsible for driving the design and implementation of scalable, high-performing data architectures and pipelines. Working with the Interconnectors Data Platform (ICDP), you will provide both technical leadership and hands-on development, supporting the transition to modern Azure-based ingestion patterns and Medallion Architecture.
Key Responsibilities
- Lead the design and implementation of scalable data architectures and layered models (Bronze/Silver/Gold).
- Develop robust, secure, and observable ingestion and transformation pipelines using Azure-based tools.
- Lead the migration from legacy ETL tools to modern cloud pipelines (ADF, Azure Functions, event-driven frameworks).
- Build performant SQL transformations and reusable data models.
- Implement CI/CD, automated testing, version control, and observability in workflows.
- Ensure data quality, validation, reconciliation, and auditability across platform layers.
- Collaborate with business and product teams to deliver high-quality analytical outputs.
- Mentor junior data engineers and contribute to team capability development.
Required Skills & Experience
- Strong hands-on experience with Python for production-grade pipelines.
- Expert-level SQL, including optimization and data modelling.
- Azure Cloud experience (ADF, Functions, Storage, Key Vault).
- Deep understanding of data warehousing, dimensional modelling, and scalable architectures.
- Proficiency in Git, CI/CD, automated testing, and modern engineering best practices.
- Experience with API and SFTP ingestion and resilient pipeline design.
- Strong problem-solving, communication, and stakeholder collaboration skills.
Desirable
- Experience with Medallion/Lakehouse patterns or Databricks-style ecosystems.
- Experience in regulated or high-assurance data environments.
- Collaboration with modeling teams in engineering-modelling interfaces.
Senior Data Engineer in Warwick employer: Queen Square Recruitment Ltd
As a leading organisation in the data engineering space, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. Located in Warwick, our hybrid working model allows for a balanced approach to work-life integration, while our commitment to professional development ensures that you will have ample opportunities to grow your skills and advance your career. Join us to be part of a forward-thinking team dedicated to building cutting-edge cloud-native data solutions.
Contact Details:
Queen Square Recruitment Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Warwick
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to the right people.
✨Tip Number 2
Get your hands dirty with some practical projects. Whether it's building a personal data pipeline or contributing to open-source projects, showcasing your skills in real-world scenarios can make you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you tackle problems and your thought process behind your solutions.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer in Warwick
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Azure, Python, and SQL, and don’t forget to mention any relevant projects that showcase your skills in building scalable data architectures.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Mention your hands-on experience with cloud data platforms and how you can contribute to the team’s success at StudySmarter.
Showcase Your Technical Skills:In your application, be sure to highlight your technical expertise, especially in areas like CI/CD, automated testing, and data modelling. We want to see how you’ve applied these skills in real-world scenarios, so don’t hold back!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us at StudySmarter!
How to prepare for a job interview at Queen Square Recruitment Ltd
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially Python and SQL. Be ready to discuss your experience with Azure tools like ADF and Functions, as well as your approach to building scalable data architectures. They’ll want to see that you can not only talk the talk but also walk the walk.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex data challenges in the past. Think about times when you had to migrate from legacy systems or implement CI/CD processes. This will demonstrate your hands-on experience and ability to lead projects effectively.
✨Understand the Business Context
Familiarise yourself with the company’s goals and how the data engineering role fits into their broader strategy. Being able to articulate how your work can contribute to high-quality analytical outputs will show that you’re not just a techie, but someone who understands the bigger picture.
✨Be Ready to Mentor
Since mentoring junior engineers is part of the role, think about your past experiences in guiding others. Prepare to discuss your mentoring style and how you’ve helped team members grow. This will highlight your leadership qualities and collaborative spirit.
