About The Role

Our Data Team is looking for a passionate and talented Data Engineer to join our data team. In this role, you will help build and maintain data pipelines and infrastructure that support the company’s data-driven decision-making processes. This is an exciting opportunity for someone who loves music and data and wants to contribute to shaping the future of our industry.

Responsibilities:

• Data Pipeline Development:

Assist in designing and developing data pipelines that collect, process, and store data from music-related sources such as streaming platforms, royalties systems, and social media.
Work closely with data scientists and analysts to ensure data pipelines meet the analytical needs of the business.

• Data Warehousing and Storage:

Help maintain and optimize our data warehouses, ensuring data is structured and stored in a way that is easily accessible for analysis.
Support the development of data models that maintain data integrity and reliability.

• Data Quality and Monitoring:

Implement and run data quality checks to ensure that the data being used by the company is accurate, consistent, and reliable.
Monitor data pipelines for performance issues, troubleshooting and resolving any problems to minimize downtime.
Assist in developing tools and alerts to proactively monitor data flows and address issues as they arise.

• Integration and Collaboration:

Work on integrating data from various internal and external sources, such as streaming data from platforms like Spotify and YouTube, into our data infrastructure.
Collaborate with other engineers and departments to integrate new data sources and refine existing data pipelines.
Participate in cross-functional projects to leverage data for improving business outcomes, such as optimizing royalty payments or tracking song performance.

•  Learning and Development:

Stay updated with the latest trends and technologies in data engineering and the music industry.
Engage in continuous learning to enhance your technical skills and contribute innovative solutions to the team.
Participate in team meetings and brainstorming sessions to help drive the company’s data strategy forward.

Qualifications:

Educational Background:

• Bachelor’s degree in Information Systems, Computer Science, Engineering, Data Engineer, or a related field.
• Minimum 1,5 years of relevant experience in Data Engineering

Technical Skills:

• Proficiency in SQL, and NoSQL and experience with database management systems.
• Familiarity with programming languages such as Python, Java, or Scala.
• Understanding of data warehousing concepts and ETL/ELT processes.
• Basic understanding of containerization (e.g., Docker) and orchestration concepts.
• Exposure to cloud platforms like AWS, Google Cloud, or Azure is a plus.
• Experience with big data technologies (e.g., Airflow, Spark, Dbt, Etc.) is advantageous.
• Experience with implementing APIs for seamless data integration and interoperability across diverse databases/systems

Soft Skills:

• Strong analytical and problem-solving skills.
• Good communication and collaboration abilities.
• Attention to detail and commitment to data quality.
• Eagerness to learn and adapt to new challenges.
• Go-getter able to work independently.

*Portfolio needs to be attached to CV