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- Tasks: Lead a talented team to develop robust data pipelines and ensure data quality.
- Company: Dynamic data solutions provider based in Bristol with a focus on innovation.
- Benefits: Hybrid working model, competitive salary, and opportunities for professional growth.
- Other info: Join a collaborative culture that values innovation and teamwork.
- Why this job: Make an impact by leading a skilled team in a cutting-edge data environment.
- Qualifications: 5+ years of experience managing data teams, strong project management, and communication skills.
The predicted salary is between 60000 - 80000 £ per year.
A data solutions provider in Bristol seeks a Data Engineering Manager to lead a talented team. The role entails developing robust data pipelines and ensuring best practices in data quality and governance.
The ideal candidate will have at least 5 years of experience in managing data teams, preferably in a cloud environment, with skills in project management and exceptional communication abilities.
The position offers a hybrid working model, requiring two days in the office.
Hybrid Data Engineering Manager - Lead Platform & Team employer: adm-Indicia
Contact Detail:
adm-Indicia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Engineering Manager - Lead Platform & Team
✨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 a hiring manager.
✨Tip Number 2
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with data pipelines and team management. We recommend practising common interview questions and even doing mock interviews with friends.
✨Tip Number 3
Showcase your leadership skills! When you get the chance to chat with potential employers, highlight your experience in managing teams and projects. Share specific examples of how you've improved data quality and governance in past roles.
✨Tip Number 4
Don't forget to apply through our website! We make it super easy for you to find and apply for roles that match your skills. Plus, it shows you're serious about joining our team and helps us keep track of your application.
We think you need these skills to ace Hybrid Data Engineering Manager - Lead Platform & Team
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in managing data teams and developing data pipelines. We want to see how your skills align with the role, so don’t be shy about showcasing your cloud experience!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for our team. Share specific examples of your project management skills and how you've ensured data quality and governance in past roles.
Show Off Your Communication Skills: As a Data Engineering Manager, communication is key! In your application, highlight instances where you’ve effectively communicated complex data concepts to non-technical stakeholders. We love seeing how you can bridge the gap!
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 don’t miss out on any important updates. Plus, we love seeing applications come through our own channels!
How to prepare for a job interview at adm-Indicia
✨Know Your Data Inside Out
Make sure you’re well-versed in data engineering concepts, especially around data pipelines and governance. Brush up on your experience with cloud environments, as this will likely come up during the interview.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully managed data teams in the past. Highlight your project management skills and how you’ve fostered collaboration and communication within your team.
✨Understand the Company’s Needs
Research the data solutions provider and understand their specific challenges and goals. Tailor your responses to show how your experience aligns with their needs, particularly in developing robust data solutions.
✨Prepare for Hybrid Work Questions
Since the role requires a hybrid working model, be ready to discuss your approach to remote work and how you maintain team cohesion and productivity when working from home.