At a Glance
- Tasks: Lead data transformation and develop scalable pipelines using Snowflake, SQL, and Python.
- Company: Join a forward-thinking company shaping the future of analytics and reporting.
- Benefits: Flexible working arrangements and opportunities for professional growth.
- Other info: Collaborate with technical teams and business stakeholders to bridge data gaps.
- Why this job: Make a real impact on data solutions and influence architecture in a dynamic environment.
- Qualifications: Experience with Snowflake, SQL, Python, and data warehousing essential.
The predicted salary is between 50000 - 70000 £ per year.
We're looking for an experienced Data Engineer to play a key role in a high-profile data transformation programme. You'll lead the modelling of CRM data into Snowflake, develop scalable data pipelines, and help shape the future of analytics, reporting and insight across the organisation. Working closely with both technical teams and business stakeholders, you'll bridge the gap between data users and IT, ensuring robust, trusted data solutions.
Key skills:
- Snowflake
- SQL & Python
- dbt
- ETL/Data Warehousing
- Dynamics CRM (or similar)
- Git
This is an opportunity to influence architecture, lead technical delivery, and make a real impact within a complex, evolving environment. The role has been deemed Outside IR35, with onsite requirements driven by project needs rather than a fixed mandate.
Data Engineer in Coventry employer: Cadence Resourcing Limited
Join a forward-thinking organisation that values innovation and collaboration, where as a Data Engineer, you will have the opportunity to lead transformative data initiatives in a dynamic environment. Our culture promotes continuous learning and professional growth, offering access to cutting-edge technologies and a supportive team that encourages your contributions. Located in a vibrant area, we provide a flexible work environment that adapts to project needs, ensuring you can thrive both personally and professionally.
Contact Details:
Cadence Resourcing Limited Recruitment Team
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 your connections in the data engineering field, especially those who work with Snowflake or SQL. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Python, dbt, and ETL processes. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Be ready to discuss how you've tackled challenges in previous roles, especially around data modelling and pipeline development.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are passionate about data engineering. It shows initiative and helps us get to know you better.
We think you need these skills to ace Data Engineer in Coventry
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Snowflake, SQL, and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Engineer role and how you can contribute to our data transformation programme. Keep it engaging and personal!
Showcase Your Technical Skills:When filling out your application, be specific about your technical expertise. Mention your experience with ETL/Data Warehousing and Dynamics CRM, as well as any tools like dbt and Git that you’ve used. We love details!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Cadence Resourcing Limited
✨Know Your Tech Stack
Make sure you’re well-versed in Snowflake, SQL, and Python. Brush up on your knowledge of dbt and ETL processes too. Being able to discuss how you've used these technologies in past projects will show that you're not just familiar with them, but that you can apply them effectively.
✨Understand the Business Context
Since you'll be bridging the gap between technical teams and business stakeholders, it’s crucial to understand how data impacts business decisions. Research the company’s goals and think about how your role as a Data Engineer can help achieve them. This will demonstrate your strategic thinking during the interview.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems or scenarios related to data modelling and pipeline development. Practice articulating your thought process clearly, as this will showcase your problem-solving skills and technical expertise.
✨Showcase Your Collaboration Skills
Since the role involves working closely with various teams, be ready to discuss examples of how you've successfully collaborated in the past. Highlight any experiences where you’ve worked with non-technical stakeholders to ensure they understand the data solutions you provide.
