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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 the chance to develop your leadership skills.
- Why this job: Be part of a dynamic team, tackling real-world problems with innovative data solutions.
- Qualifications: Experience in stakeholder management, cloud platforms, and data products is essential.
- Other info: Opportunity to collaborate with a 3rd party consultancy for building data platforms.
The predicted salary is between 48000 - 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 (London Area) employer: Partnur
Contact Detail:
Partnur Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Manager (London Area)
✨Tip Number 1
Network with professionals in the data engineering field, especially those who have experience in cloud platforms like Azure, AWS, or GCP. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends.
✨Tip Number 2
Familiarise yourself with the specific data products mentioned in the job description, such as Databricks, Fivetran, and dbt. Consider taking online courses or certifications to deepen your understanding and demonstrate your commitment to the role.
✨Tip Number 3
Prepare to discuss your experience in stakeholder management and team leadership during interviews. Think of specific examples where you successfully led a team or managed a project that involved collaboration with commercial stakeholders.
✨Tip Number 4
Research the company’s current data initiatives and projects. Being knowledgeable about their goals and challenges will allow you to tailor your discussions and show how your skills can directly contribute to their success.
We think you need these skills to ace Data Engineering Manager (London Area)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and team leadership. Emphasise any relevant projects you've led, especially those involving cloud data platforms like Azure, AWS, or GCP.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about the role and how your skills align with the company's needs. Mention your experience with stakeholder management and leading teams, as well as any work with third-party consultancies.
Showcase Technical Skills: Be specific about your technical expertise in data products such as Databricks, Fivetran, and dbt. Include examples of how you've used these tools to solve business problems or improve processes.
Prepare for Interviews: If you get an interview, be ready to discuss your leadership style and how you manage teams. Prepare examples of how you've successfully collaborated with commercial stakeholders to deliver data solutions.
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 leadership experiences, how you manage teams, and any challenges you've faced. Use specific examples to illustrate your approach to team development and conflict resolution.
✨Understand the Business Context
Demonstrate your ability to translate business problems into data solutions. Research the company’s current projects and challenges, and think about how your skills can help address these. This shows that you're not just technically proficient but also understand the bigger picture.
✨Familiarise Yourself with Cloud Platforms
Since extensive experience with cloud data platforms is essential, brush up on your knowledge of Azure, AWS, and GCP. Be ready to discuss your hands-on experience with these platforms and how you've used them in past projects to deliver effective data solutions.
✨Prepare for Stakeholder Management Questions
Stakeholder management is key in this role. Prepare to share examples of how you've successfully managed stakeholders in the past, including how you communicated complex data concepts to non-technical audiences. This will highlight your ability to bridge the gap between technical and commercial teams.
