Are you our next workmate in Copenhagen?

To successfully fuel our data insights both internally and client-facing, we need the support of a talented Senior Data Engineer who has worked with or is interested in working with data transport and processing.

In this role, you’ll be working very hands-on. But you will also have the opportunity to define and impact your own work by actively contributing to our efforts in optimizing and improving our data architecture and business logic.

You will join a cross-functional team consisting of backend, frontend, QA engineers, and data analysts, while also being a cooperation partner to our Infrastructure team. 

You are perfect for this role if you are capable of developing and improving our data pipeline, but feel equally motivated by having a higher level of task variation - including ad-hoc and exploratory data tasks.

Overview of technology in our data pipeline:

•   Storage: Snowflake, Druid, Microsoft SQL Server, MySQL, PostgreSQL, S3

•   Messaging: AWS SQS, Kafka, Azure Service Bus

•   Orchestration: Airflow, AWS Glue

•   Languages: Python, Bash

•   Deployment: Docker, Kubernetes

Responsibilities:

•   Collaborate with product managers, designers, and researchers in your cross-functional team to discover new features and products, leveraging the billions of data points Linkfire is processing every month

•   Setup and maintain your team’s technical infrastructure (e.g. data lakes, warehouses, and databases)

•   Create production-ready, scalable data pipelines

•   Architect, code, and test backend services to support machine learning training and inference at scale 

Required abilities and skills:

• You have extensive experience in designing and building complex data processing systems.

• You have significant development experience and interest in Python.

• You have experience in creating a performant infrastructure for data collection, storage, processing, and exposure, especially including orchestrating and monitoring data pipelines, preferably with AWS.

• You have experience working with Kafka, Airflow, and Snowflake.

• You have experience using Docker and Kubernetes.

• You can proficiently communicate technical concepts.

About Linkfire:

Linkfire was founded as a response to the increasingly complex nature of digital music marketing. Listeners the world over are streaming through different services—so how do you connect to all of them at once, simply and smartly? Our technology links fans directly to the content they love in their favorite app. At the same time, we empower everyone from major labels to independent artists with unparalleled audience insights.

Since we started, we’ve become a trusted partner to the music industry’s biggest names, as well as thousands of soon-to-be biggest names. We’re headquartered in Copenhagen, with offices in Lisbon, NYC, and LA. Every day we help artists we adore to realizing their potential through the power of music data.

Underpinning our culture is collaborative, agile processes, and something we like to call the ‘Nordic spirit.’ It means working together with transparency, respect, and honesty. And that goes for the way we do business too.

What’s in it for you:

• The opportunity to create the must-have product for the music industry and ensure that every month over 150M+ music fans get the best experience

• A truly open, informal entrepreneurial spirit, with 4 global locations and over 20 different nationalities

• The chance for your work to impact the music consumption of millions of music enthusiasts all over the globe

• You'll always learn new things and no two days will be alike.  

Music has the unique power to unite us all. It transcends cultures, languages, and borders.

Every day, we help artists from around the world connect with their fans, and we’re immensely proud to count such a diverse range of creators as our users.

We embrace this diversity inside our offices too. At Linkfire, we want you to find a place to belong, and feel encouraged to be your authentic self.

We therefore do not tolerate discrimination in employment on the basis of race, color, age, sex, sexual orientation, gender identity or expression, religion, disability, ethnicity, national origin, marital status, protected veteran status, genetic information, or any other legally protected classification or status.