Data Engineer • Mid-Level

Who you are

You have a solid background in data engineering, with experience in building reliable datasets and workflow automations that enhance developer productivity and platform health. Your proficiency in SQL and Python allows you to turn complex data signals into actionable insights that drive decision-making. You thrive in collaborative environments, working closely with analytics engineering teammates and product partners to deliver impactful solutions. You understand the importance of machine learning and AI metrics in shaping platform strategies and are eager to contribute to initiatives that enhance Spotify's capabilities.

You possess a strong analytical mindset, enabling you to identify trends and patterns in data that inform leadership decisions. Your experience with data analytics tools and frameworks equips you to design and operate data pipelines that support various engineering initiatives. You are comfortable working with cross-functional teams and have a knack for communicating complex technical concepts to non-technical stakeholders. You are passionate about leveraging data to improve processes and outcomes, and you are excited about the opportunity to work in a dynamic and innovative environment like Spotify.

What you'll do

As a Mid-Level Data Engineer at Spotify, you will be responsible for designing and implementing reliable datasets that power various engineering initiatives. You will collaborate with analytics engineers to develop workflow automations that enhance developer productivity and platform health. Your role will involve turning complex platform signals into trusted data that supports leadership decision-making and informs machine learning metrics. You will work closely with product and platform partners to ensure that the data solutions you create align with broader organizational goals.

You will also be tasked with optimizing existing data pipelines and workflows, ensuring that they are efficient and scalable. Your expertise in SQL and Python will be crucial as you build and maintain data infrastructure that supports the needs of various teams across Spotify. You will have the opportunity to contribute to the development of new data-driven features and initiatives, helping to shape the future of Spotify's platform. Your work will directly impact how Spotify ships faster and safer, making a meaningful contribution to the company's mission.

What we offer

At Spotify, you will be part of a vibrant and inclusive culture that values innovation and collaboration. We offer competitive compensation packages and opportunities for professional growth and development. You will have access to cutting-edge tools and technologies, allowing you to stay at the forefront of the data engineering field. Join us in our mission to connect millions of people through music and create a platform that empowers artists and listeners alike.