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- Tasks: Lead a team of data engineers and deliver critical projects for business growth.
- Company: Join a leading organisation making waves in the data engineering space.
- Benefits: Enjoy hybrid work options and a dynamic team environment.
- Why this job: Be at the forefront of data solutions, shaping the future with innovative technology.
- Qualifications: Proven experience in stakeholder management and cloud data platforms is essential.
- Other info: Opportunity to collaborate with a 3rd party consultancy for exciting projects.
The predicted salary is between 54000 - 84000 £ per year.
We have an exciting opportunity for a Data Engineering Manager to join a leading organisation. This is an exciting role where you will have the opportunity to lead a team of talented engineers and help the business deliver critical projects to enable its growth plans.
What you will be doing:
- Line manage and develop a team of data engineers.
- Working with commercial stakeholders to understand business problems and translate them into data solutions with clean architecture and governance practices.
- Work with and lead a 3rd party consultancy to build data platforms and services.
What they are looking for:
- Proven experience with stakeholder management and team leadership.
- Extensive experience of cloud data platforms (e.g. Azure, AWS, GCP).
- Strong understanding of data products (e.g. Databricks, Fivetran, dbt).
- Ideally have experience of leading a 3rd party, although not essential.
Data Engineering Manager employer: Partnur
Contact Detail:
Partnur Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Manager
✨Tip Number 1
Familiarise yourself with the specific cloud data platforms mentioned in the job description, such as Azure, AWS, and GCP. Having hands-on experience or relevant certifications can really set you apart from other candidates.
✨Tip Number 2
Brush up on your stakeholder management skills. Be prepared to discuss how you've successfully collaborated with commercial stakeholders in the past, as this is a key aspect of the role.
✨Tip Number 3
Showcase your leadership experience by preparing examples of how you've developed and managed teams. Highlight any specific achievements that demonstrate your ability to lead effectively.
✨Tip Number 4
Research the company’s current data projects and initiatives. Being knowledgeable about their goals and challenges will allow you to tailor your discussions and show how you can contribute to their success.
We think you need these skills to ace Data Engineering Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and team leadership. Use specific examples that demonstrate your ability to manage stakeholders and lead projects, particularly in cloud data platforms like Azure, AWS, or GCP.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with their needs, especially your experience with data products and managing teams. Be sure to mention any relevant projects you've led.
Showcase Relevant Skills: When filling out your application, emphasise your technical skills related to data engineering, such as your familiarity with Databricks, Fivetran, and dbt. Highlight any experience you have working with third-party consultancies.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at Partnur
✨Showcase Your Leadership Skills
As a Data Engineering Manager, you'll be expected to lead a team. Be prepared to discuss your previous experiences in managing teams, how you motivate them, and any challenges you've overcome in leadership roles.
✨Understand the Business Needs
Familiarise yourself with the company's business model and how data engineering supports its goals. Be ready to explain how you would translate business problems into effective data solutions, demonstrating your stakeholder management skills.
✨Demonstrate Technical Expertise
Brush up on your knowledge of cloud data platforms like Azure, AWS, or GCP, as well as data products such as Databricks and Fivetran. Be prepared to discuss specific projects where you've utilised these technologies.
✨Prepare for Consultancy Collaboration
Since the role involves working with a 3rd party consultancy, think about your past experiences in collaborating with external teams. Be ready to share examples of how you ensured successful partnerships and project outcomes.
