Data and Analytics Engineer

Location: London (Remote/Hybrid)

There is no sponsorship available for this position.

Are you passionate about data and keen to shape how a dynamic company leverages it? We're searching for a talented Data Analytics Engineer to join a fast-growing organization within the music industry. This is a unique opportunity to be part of a small but impactful team, where your work will directly contribute to data-driven insights and business success.

Our client is an innovative and highly regarded player in the music sector, managing an extensive catalog of intellectual property and partnering with renowned artists and creators worldwide. With a focus on both quality and collaboration, this company prides itself on fostering a culture that values creativity, precision, and innovation.

In this role, you'll be at the forefront of building and optimizing data infrastructure to empower decision-making and business insights. Key responsibilities include:

• Data Pipeline Development: Create and maintain robust data pipelines to integrate, clean, and structure data from various sources.
• Data Modeling: Design scalable models to support analytics and reporting, ensuring alignment with key business needs.
• Reporting and Analytics: Build scalable data solutions for visualization tools like Tableau or Google Data Studio, enabling actionable insights for stakeholders.
• Quality Assurance: Implement processes to maintain the accuracy, integrity, and reliability of the data ecosystem.
• Stakeholder Collaboration: Work closely with finance and operations teams to refine data requirements and ensure solutions align with business objectives.
• System Support: Provide light maintenance for internal systems to ensure smooth operations, addressing minor technical issues as they arise.

We're looking for someone with:

• Proven Experience:

  • 3-5 years in data engineering or analytics roles, including pipeline development and business insights.
  • Hands-on experience with SQL or Python for data extraction, transformation, and automation.
  • Familiarity with Google Cloud Platform (GCP) tools like BigQuery.

• Technical Skills:

  • Proficiency in data modeling, cloud databases, and visualization tools (e.g., Tableau).
  • Strong understanding of data quality and validation practices.

• Professional Skills:

  • Ability to translate complex data into actionable business insights.
  • Strong problem-solving skills and attention to detail.
  • Collaborative mindset and the ability to engage with both technical and non-technical stakeholders.

• Bonus Skills:

  • Familiarity with music rights data, API integration, or light software maintenance.
  • Knowledge of DevOps practices or experience with metadata management.

• Competitive salary and flexible working arrangements (remote or hybrid).
• Opportunity to work with a leading organization in the creative sector.
• Collaborate with talented professionals in a supportive and innovative environment.
• Play a pivotal role in a company driving data-driven success.

Take your data engineering career to the next level by joining a company that values creativity and innovation. Apply now to make an impact where data and creativity intersect!