Analytics Engineer

At Epidemic Sound we are reinventing the music industry. Our carefully curated catalog, with over 35,000 tracks, is tailored for storytellers, streaming services, and in-store soundtracks. Countless clients around the world, from broadcasters, production companies, DSPs, and YouTubers rely on our tracks to help them tell their stories. Epidemic Sound’s music is heard in hundreds of millions of online videos daily, across millions of playlist streams, and in thousands of in-store locations. Headquartered in Stockholm, we’re spread across offices in New York City, Los Angeles, Seoul, Hamburg, and Amsterdam. We’re growing fast, have lots of fun, and are taking the music industry with us.

We’re now looking for an Analytics Engineer to empower our Data Scientist and Analytics teams. You might come from a background where you have expertise in Data Modeling or Data Engineering. Or you might have worked as a Data Scientist or Data Analyst and you’re curious to move closer to Data Engineering.

In order for you to thrive in this role, we believe that you have one or more of the following;

- Experience in one or more of the following technologies and techniques; SQL, Python, dbt, Kimball, DataVault, Star/Snowflake Schemas.
- A strong interest and curiosity in data and you might have also worked with large-scale data warehouses, data modeling, relational model design or have experience from all of the above
- Previous experience working with or setting up ELT-like data pipelines

You definitely have the following;

- A love for teamwork
- Follow best software engineering practices in your work
- The ability to communicate in English with professional working proficiency
- You value best practices but realize that all rules have exceptions
- A passion for sharing your knowledge and teaching others what you know

How you will make an impact;

You would join Epidemic’s Data Engineering team, with a mission to provide the platform, tools, solutions, and data sets that enable the company to stay ever more data-informed. As an Analytics Engineer, you would play a key role in bridging Data Engineering and Data Analytics.

Our modern solution runs on Google Cloud Platform and part of our solution stack includes BigQuery as a data warehouse, Airflow for data pipeline orchestration, Dataflow jobs for data processing, and dbt for data transformation.

You can expect to;

- Join an organization with passionate Data Scientists and Data Engineers at an early stage of the company's history. This is a chance to be part of building a data analytics platform that scales worldwide
- Design, build and maintain the Epidemic data models
- Drive data architecture matters, including following the data definition and data modeling principles across all parts of the business, and ensuring that everything from tracking to reporting cubes adheres to Epidemic’s best practices
- Act as a stakeholder and partner with both engineering teams and analytics teams to deliver well-defined, tested, and high-quality data sets
- Work with business stakeholders and design data models to quantitatively support everything from corporate strategy to user acquisition
- Support and mentor analytics consumers on best software engineering practices

This role will include finding ways to share learnings across the organization. It could be via internal talks, writing internal blog posts, or any other way you may think of. You can also expect to learn a ton of new things, be it through hack-days, courses, conferences, or tech talks. We emphasize learning and we also expect you to share your knowledge with your colleagues.

We collaborate constantly and are big believers in teamwork and the value of practices like careful code reviews and pair (or mob) programming. On top of this, you can expect to have lots of fun and take pride in what you and all of Epidemic is doing.

Curious to learn more about who we are and what we do? Check out our brand new "About us" page → https://www.epidemicsound.com/about-us/

We have lots of fun soundtracking the world and our annual Spring Bash (https://www.youtube.com/watch?v=NgnVp17IvAg) is an event that captures this perfectly. Take a look at our most recent one, a virtual celebration!

Application

Do you want to be a part of our fantastic team? Please apply, in English, by clicking the link below.

We believe that bringing people together from different backgrounds, experiences, and perspectives makes for a healthy workplace, a more successful business, and a better world. We value diversity and encourage everyone to come and soundtrack the world with us.