Analytics Engineer at Epidemic Sound

Stockholm, Stockholm, Sweden -

Full Time

Start Date

Immediate

Expiry Date

20 Jan, 26

Salary

0.0

Posted On

22 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Modeling, SQL, Python, Data Architecture, Data Transformation, Communication, Teamwork, Continuous Improvement, Software Engineering Practices, Stakeholder Management, Business Requirements, Data Analytics, Cloud Computing, BigQuery, Google Cloud Platform, ELT

Industry

Musicians

Description

Join our global force of 500+ innovators, blending the latest in tech with the greatest in soundtracking, from our Stockholm HQ to offices in London, New York, Los Angeles, Berlin, Oslo, and Seoul. We’re an industry leader with a startup mentality. We take what we do seriously, but we don’t take ourselves too seriously. Creating and collaborating to transform the sound of streaming, content, and culture. Come join us—and let the world feel your work. As an Analytics Engineer, you will join the central Analytics Engineering team. Your mission is to provide the tools, solutions, and datasets that enable the company to stay ever more data-informed by bridging the gap between product development and data analytics. You will play a vital role in ingesting data from our data lake into the data warehouse, where it will be transformed, scheduled, and made ready for use by analytics and product development teams. Our modern data stack runs on Google Cloud Platform, including BigQuery as a data warehouse, Google Cloud Composer (Airflow) for orchestration, and dbt for data transformation. This is a chance to join an organization with passionate Data Scientists and Engineers at an early stage of building a data analytics platform that scales worldwide. Your key responsibilities include: Design, build, and maintain the Epidemic data models. Drive data architecture matters, ensuring that everything from tracking to reporting cubes adheres to Epidemic’s best practices. Act as a stakeholder and partner with both engineering 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 and share learnings across the organization. Requirements Experience with data modeling in a modern data environment (such as BigQuery or Snowflake) Strong communication skills Experience translating business requirements into robust data models Experience in SQL and Python. A love for teamwork, continuous improvement, and sharing knowledge. Follow best software engineering practices in your work. Professional working proficiency in English. Nice to have Experience with dbt or previous experience working with or setting up ELT-like data pipelines. Experience with any of the following tooling: Terraform, Snowplow, Apache Airflow, Looker. Experience with cloud computing such as GCP or AWS. Equal opportunity employer 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. Application Ready to make the world feel your work? Please apply, in English, by clicking the link below. Welcome to Tune In - our behind-the-scenes video series where we sit down with the brilliant minds shaping the sound and story of Epidemic Sound. In this episode Oscar Höglund, CEO and Co-Founder of Epidemic Sound sits down with Rikard Herlitz, Chief Tech Officer where he shares what makes developers most happy, what velocity means to him and how Epidemic Sound is in the sweet spot when it comes to AI. Thinking about joining us? Tune in - and see if we sound like your kind of vibe.

Responsibilities

As an Analytics Engineer, you will design, build, and maintain data models while ensuring adherence to best practices. You will collaborate with engineering and analytics teams to deliver high-quality datasets that support business strategies.