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- Tasks: Develop and maintain data systems while ensuring quality and governance.
- Company: Leading recruitment agency in London with a focus on innovation.
- Benefits: Full-time role with competitive salary and opportunities for growth.
- Why this job: Drive impactful decision-making through data in a dynamic environment.
- Qualifications: Proficiency in SQL and Python, plus experience with cloud platforms.
- Other info: Join a collaborative team and enhance your career in data engineering.
The predicted salary is between 36000 - 60000 £ per year.
A leading recruitment agency in London seeks a Senior Recruitment Consultant specializing in Data Engineering. You will be responsible for developing and maintaining data systems, supporting data migration, and ensuring data quality and governance.
The ideal candidate should have:
- Proficiency in SQL and Python
- Experience with cloud platforms
- Strong communication skills
This full-time position is essential for driving better decision-making through data within the organization.
Data Engineer – Cloud Pipelines & Governance employer: Xcede
Contact Detail:
Xcede Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer – Cloud Pipelines & Governance
✨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 hunt for a new role. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL, Python, and cloud platforms. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your past experiences with data systems and governance clearly and confidently – communication is key!
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities waiting for talented data engineers like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Engineer – Cloud Pipelines & Governance
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and cloud platforms. We want to see how your skills align with the role of Data Engineer, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data governance and how you can contribute to better decision-making at StudySmarter. Keep it engaging and personal.
Showcase Your Communication Skills: As a Data Engineer, strong communication is key. In your application, highlight instances where you've effectively collaborated with teams or presented complex data insights. We love seeing how you connect with others!
Apply Through Our Website: We encourage you to apply directly 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!
How to prepare for a job interview at Xcede
✨Know Your Data Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've developed or maintained data systems, as well as any challenges you faced and how you overcame them.
✨Cloud Platforms Are Key
Familiarise yourself with the cloud platforms mentioned in the job description. If you have experience with AWS, Azure, or Google Cloud, be prepared to share examples of how you've used these tools to support data migration and governance.
✨Communicate Clearly
Strong communication skills are a must for this role. Practice explaining complex data concepts in simple terms, as you may need to convey technical information to non-technical stakeholders during the interview.
✨Showcase Your Problem-Solving Skills
Be ready to discuss how you've ensured data quality and governance in your previous roles. Think of specific instances where your analytical skills made a difference in decision-making processes, and be prepared to share those stories.
