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For Companies At a Glance
- Tasks: Lead a global data engineering team and shape the data culture.
- Company: Join a high-growth SaaS scale-up making waves in the tech industry.
- Benefits: Enjoy flexible work options and a dynamic, innovative environment.
- Why this job: Be at the forefront of data engineering, driving impactful projects and collaboration.
- Qualifications: Experience in managing data teams and expertise in cloud architectures required.
- Other info: Work with cutting-edge technologies and contribute to a scalable data platform.
The predicted salary is between 72000 - 108000 £ per year.
As a Senior Data Engineering Manager for this high-growth SaaS scale-up, you will play a key role in managing the data engineering team and shaping the data engineering culture!
You will:
- Manage the global data engineering team split across the UK and the US (team of 5).
- Ensure the data platform is fit for purpose and meets business requirements.
- Build and maintain a high-performance and scalable data platform.
- Work with other technology teams to design and implement robust products, services, and capabilities for the data platform.
- Build and support platforms to enable both data engineers and product engineers to build a cloud-based platform.
- Engineer platform ingestion, data warehouse/data lake, and API strategies for data management.
- Work with DevOps to provide high-availability data solutions that scale.
About You
As a Senior Data Engineering Manager for this high-growth SaaS business, you will have a variety of skills to succeed in the role!
You will have:
- Line management experience of data engineering teams.
- Extensive knowledge of fundamental data engineering technologies and practices.
- Strong experience with cloud architectures.
- Experience writing production code in multiple languages including C#, Python, Go, etc.
- Experience writing OO code.
- Good experience in Data Engineering at an enterprise level.
- Good understanding of cloud storage platforms, preferably Azure, but knowledge of AWS or GCP is acceptable.
- Good understanding of DevOps.
- Containerization experience.
- Expertise in Postgres and MySQL.
- Deep understanding of CI/CD processes.
Senior Data Engineering Manager employer: TN United Kingdom
Contact Detail:
TN United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineering Manager
✨Tip Number 1
Network with professionals in the data engineering field, especially those who have experience in SaaS environments. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends and technologies.
✨Tip Number 2
Showcase your leadership skills by discussing any previous experiences where you managed teams or projects. Highlight how you fostered a positive team culture and drove successful outcomes, as this is crucial for a managerial role.
✨Tip Number 3
Familiarise yourself with the specific cloud technologies mentioned in the job description, particularly Azure. Consider taking online courses or certifications to deepen your understanding and demonstrate your commitment to staying current in the field.
✨Tip Number 4
Prepare to discuss your experience with CI/CD processes and containerization during interviews. Be ready to provide examples of how you've implemented these practices in past roles to improve efficiency and scalability in data engineering projects.
We think you need these skills to ace Senior Data Engineering Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in managing data engineering teams and your technical skills relevant to the role. Emphasise your knowledge of cloud architectures and programming languages like C#, Python, and Go.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about data engineering and how your previous experiences align with the responsibilities of the Senior Data Engineering Manager role. Mention specific projects where you've successfully built scalable data platforms.
Showcase Leadership Experience: Highlight your line management experience in your application. Provide examples of how you've led teams, fostered a positive culture, and contributed to the success of data engineering initiatives.
Demonstrate Technical Expertise: Include specific examples of your work with cloud storage platforms, CI/CD processes, and containerization. This will show that you have the technical depth required for the role and can effectively manage the data platform.
How to prepare for a job interview at TN United Kingdom
✨Showcase Your Leadership Skills
As a Senior Data Engineering Manager, you'll be leading a team. Be prepared to discuss your previous management experiences, how you motivate your team, and any challenges you've overcome in leadership roles.
✨Demonstrate Technical Expertise
Make sure to brush up on your knowledge of data engineering technologies and cloud architectures. Be ready to discuss specific projects where you've implemented these technologies, especially in C#, Python, or Go.
✨Understand the Business Needs
This role requires aligning the data platform with business requirements. Research the company’s goals and think about how your experience can help meet those needs. Prepare examples of how you've previously aligned technical solutions with business objectives.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about past experiences where you had to engineer solutions for data management or work with DevOps to ensure high availability, and be ready to share those stories.
