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- Tasks: Lead a team to build and maintain data pipelines for Spotify's Platform Mission.
- Company: Join Spotify, the world's leading audio streaming service, transforming music listening since 2008.
- Benefits: Enjoy flexible work options, a collaborative culture, and opportunities for personal growth.
- Why this job: Be part of a diverse team that empowers creativity and shapes the future of audio experiences.
- Qualifications: Experience in data engineering management with a strong technical background in relevant technologies.
- Other info: Work from London or Stockholm with a focus on inclusivity and representation.
The predicted salary is between 43200 - 72000 £ per year.
We are seeking a highly motivated and experienced Data Engineering Manager to lead our Data Engineering team supporting the Platform Mission at Spotify. This role is pivotal in ensuring the data infrastructure and pipelines that power our information and shape our strategy and objectives are robust, scalable, and efficient. As a Data Engineering Manager, you will be responsible for leading a team that builds and maintains the data pipelines and infrastructure that underpin our Mission systems. You will work closely with product managers, data engineers, data scientists, and software engineers to deliver high-quality data solutions that enable personalized visual experiences and empower our Platform teams.
What You'll Do
- Provide servant leadership for the team that reports to you
- Delivery of product improvements, features, migrations, and overall technical health
- Cultivate a balanced and collaborative data engineering culture and a diverse and inclusive team that reflects our customers and the industry
- Collaborate with technical and product partners to define success metrics and roadmaps
- Influence and support the development of the technical architecture of the team’s stack
- Advocate for the increased knowledge of the Data Engineering tools and capabilities across the company.
Who You Are
- An experienced manager with full stack experience
- You excel at influencing without authority and being an effective communicator (both written and verbal)
- Are passionate about growing and developing data engineering teams as well as the technical ecosystem that comes with it
- Are empathetic towards customer pains and are comfortable translating them into technical requirements
- Confident managing stakeholders across multiple levels
- Have a fundamental Computer Science background with specific Data Engineering experience
- Ideally proficient in cloud architecture, java, react, python, scala, Apache ecosystem, and Google Cloud Platform technologies
Where You'll Be
This role is based in London, UK, or Stockholm, Sweden. We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. This team operates within the Central European and GMT time zone for collaboration.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
Engineering Manager - Platform Engineering employer: Spotify
Contact Detail:
Spotify Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Manager - Platform Engineering
✨Tip Number 1
Familiarise yourself with Spotify's data engineering culture and values. Understanding their emphasis on collaboration, diversity, and servant leadership will help you align your approach during interviews and discussions.
✨Tip Number 2
Network with current or former employees in similar roles. Engaging with them can provide insights into the team dynamics and expectations, which can be invaluable when discussing your fit for the position.
✨Tip Number 3
Brush up on your technical skills, especially in cloud architecture and the Apache ecosystem. Being able to discuss specific technologies like Java, Python, and Google Cloud Platform confidently will demonstrate your expertise and readiness for the role.
✨Tip Number 4
Prepare to discuss how you've previously influenced teams and managed stakeholders. Highlighting your experience in leading diverse teams and translating customer needs into technical requirements will showcase your suitability for the role.
We think you need these skills to ace Engineering Manager - Platform Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and management. Focus on relevant projects, technologies you've worked with, and any leadership roles you've held. Use keywords from the job description to align your skills with what Spotify is looking for.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your background aligns with Spotify's mission. Mention specific experiences that demonstrate your ability to lead teams and deliver high-quality data solutions. Show enthusiasm for the role and the company culture.
Showcase Your Technical Skills: Be sure to include any relevant technical skills in your application, especially those mentioned in the job description such as cloud architecture, Java, Python, and the Apache ecosystem. Provide examples of how you've used these technologies in past roles.
Highlight Leadership Experience: Since this role involves leading a team, emphasise your leadership experience. Discuss how you've cultivated a collaborative culture, managed stakeholders, and influenced without authority. Share specific examples of how you've developed teams and improved processes.
How to prepare for a job interview at Spotify
✨Showcase Your Leadership Skills
As a Data Engineering Manager, you'll need to demonstrate your ability to lead and inspire a team. Prepare examples of how you've successfully managed teams in the past, focusing on servant leadership and fostering a collaborative culture.
✨Understand the Technical Stack
Familiarise yourself with the technologies mentioned in the job description, such as cloud architecture, Java, Python, and the Apache ecosystem. Be ready to discuss how your experience aligns with these technologies and how you can leverage them to improve data infrastructure.
✨Communicate Effectively
Since influencing without authority is key for this role, practice articulating your thoughts clearly and concisely. Prepare to discuss how you've effectively communicated technical requirements to non-technical stakeholders in previous roles.
✨Emphasise Empathy Towards Customers
Highlight your understanding of customer needs and how you've translated those into technical solutions. Be prepared to share specific examples where you've addressed customer pain points through data engineering initiatives.
