Offer summary

Qualifications:

Experienced manager with full stack experience in data engineering., Strong communication skills, both written and verbal, with the ability to influence without authority., Fundamental Computer Science background with specific Data Engineering experience., Proficient in cloud architecture and technologies such as Java, React, Python, Scala, and Google Cloud Platform..

Key responsabilities:

Lead and support the Data Engineering team in building and maintaining data pipelines and infrastructure.

Collaborate with product managers, data engineers, and software engineers to deliver high-quality data solutions.

Cultivate a collaborative and inclusive team culture while advocating for data engineering tools across the company.

Define success metrics and roadmaps in collaboration with technical and product partners.

Job description

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.

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