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- Tasks: Lead the monthly data release cycle and ensure top-notch data quality for clients.
- Company: A leading analytics company in the West of England with a focus on continuous improvement.
- Benefits: Enjoy a hybrid working environment and opportunities for professional growth.
- Why this job: Make a real impact by delivering timely insights and enhancing data operations.
- Qualifications: Experience in data operations or release engineering, with skills in Python and SQL.
- Other info: Join a dynamic team that values effective communication and collaboration.
The predicted salary is between 42000 - 60000 £ per year.
A leading analytics company in the West of England is seeking a Senior Data Operations Engineer to enhance its operations function. You will own the monthly data release cycle, ensuring high data quality and timely insights for clients.
Ideal candidates have a background in data operations or release engineering, are skilled in Python and SQL, and can communicate effectively with non-technical stakeholders.
The company promotes a culture of continuous improvement while offering a hybrid working environment.
Senior Data Release Lead - Operations & Quality employer: Peaple Talent
Contact Detail:
Peaple Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Release Lead - Operations & Quality
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for those interviews! Brush up on your Python and SQL skills, and be ready to discuss how you've ensured data quality in past roles. We want to see you shine!
✨Tip Number 3
Show off your communication skills! Practice explaining complex data concepts in simple terms. Remember, you'll be working with non-technical stakeholders, so make it relatable.
✨Tip Number 4
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 Senior Data Release Lead - Operations & Quality
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data operations and release engineering. We want to see how your skills in Python and SQL can shine through, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for the Senior Data Release Lead role. Share specific examples of how you've ensured data quality and delivered timely insights in previous roles.
Showcase Communication Skills: Since you'll be working with non-technical stakeholders, it’s important to demonstrate your ability to communicate complex ideas simply. Use your application to highlight instances where you’ve successfully bridged the gap between technical and non-technical teams.
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 shows us you’re keen to join our team!
How to prepare for a job interview at Peaple Talent
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data operations and release engineering. Be prepared to discuss your experience with Python and SQL, as well as any specific projects where you've ensured high data quality. This will show that you’re not just familiar with the tools, but that you can apply them effectively.
✨Communicate Like a Pro
Since the role involves liaising with non-technical stakeholders, practice explaining complex data concepts in simple terms. Think of examples from your past where you successfully communicated technical information to a non-technical audience. This will demonstrate your ability to bridge the gap between technical and non-technical teams.
✨Embrace Continuous Improvement
Familiarise yourself with the company's culture of continuous improvement. Be ready to share your thoughts on how you’ve contributed to process enhancements in previous roles. Highlighting your proactive approach to improving data operations will resonate well with the interviewers.
✨Prepare for Hybrid Working Questions
Given the hybrid working environment, think about how you manage your time and productivity when working remotely. Be prepared to discuss your strategies for staying organised and maintaining communication with your team, as this will show that you can thrive in a flexible work setting.
