Our client is a music services company that specializes in music publishing and rights management, offering technology-based solutions to artists, songwriters, and rights holders.

We are looking for a specialist based in Lithuania to join our team.

The project centers around building a comprehensive Data Platform designed to drive strategic insights for stakeholders within the music industry. This platform focuses on entity resolution, royalty forecasting, and artist performance tracking, offering critical tools for managing and optimizing music catalog data, royalty calculations, and talent identification.

We are looking for an Engineer to implement our Data Platform. This is an exciting opportunity to work in the heart of music publishing, empowering innovation, enhancing business efficiency, and catalyzing revenue generation opportunities through the strategic use of data, AI, scalable tooling, and self-service analytics.

Technology stack

AWS: Athena, Glue, Step Functions, Lambda, RDS, S3, DMS, EMR, SageMaker

Terraform, CircleCI, Kubernetes, Docker

Java, Springboot

Kafka (Streams)

• Collaborate with cross-functional teams to align on requirements, priorities, and goals, ensuring seamless integration of business needs into the platform
• Apply new knowledge and skills to enhance project outcomes, continuously contributing to team objectives with innovative solutions
• Propose new ideas and process improvements that optimize workflows and benefit both the team and the company
• Commit to continuous learning by staying informed on industry trends and emerging technologies to improve personal performance and the overall platform development

• Infrastructure as Code (e.g. Terraform, CloudFormation)
• Strong expertise in Kafka
• Experience maintaining CI/CD pipelines
• Expertise writing Automated Tests
• Expertise monitoring, automated alerting of services
• Experience writing and optimizing ETL pipelines
• Cloud computing experience, especially around ETL, orchestration, and permissions
• Expertise in at least one OOP language out of Java, Scala
• Experience writing SQL

• Docker, Kubernetes
• Jupyter, DBT
• AWS
• BI tools such as Tableau/Quicksight
• Experience with Python web scraping tools

• Professional Development:

— Experienced colleagues who are ready to share knowledge;

— The ability to switch projects, and technology stacks, try yourself in different roles;

— More than 150 workplaces for advanced training;

— Study and practice of English: courses and communication with colleagues and clients from different countries;

— Support of speakers who make presentations at conferences and meetings of technology communities;

— Stable income (Employment Contract with taxes allocated to Lithuania)

• The ability to focus on your work: a lack of bureaucracy and micromanagement, and convenient corporate services;

• Friendly atmosphere, concern for the comfort of specialists;

• Flexible schedule and opportunity to work remotely within Lithuania.

To apply or inquire, please copy the following email address and paste it into your preferred email client: careers.riga@dataart.com