At a Glance
- Tasks: Design and maintain data pipelines, automate processes, and deliver insights for the music industry.
- Company: Join Universal Music, the world's leading music company with a diverse and inclusive culture.
- Benefits: Competitive salary, flexible working, and opportunities for personal and professional growth.
- Other info: Collaborative environment with a focus on innovation and continuous improvement.
- Why this job: Make an impact in the music world by turning data into actionable insights.
- Qualifications: Strong SQL skills, experience with Python, and knowledge of data integration solutions.
The predicted salary is between 45000 - 60000 £ per year.
Music is Universal
It’s the passionate and dedicated team at Universal Music who help make us the world’s leading music company. From A&R to finance, legal to digital, sales to marketing, Universal Music is the place to grow and develop your career within a truly commercial and innovative business that leads in everything it does.
Everyone is welcome to apply for our roles, and we are determined to ensure that no applicant or employee receives less favourable treatment because of gender, race, disability, sexual orientation, religion, belief, age, marital status, background, pregnancy, or caring responsibilities. We also recognise the importance of diversity of thought within our teams and are fully committed to embracing the talents of people with autism, dyslexia, ADHD, and other forms of neurocognitive variation.
We will always seek to make appropriate adjustments to recruitment, workplaces, and work processes to be fully inclusive to people with different needs and working styles. If you need us to make any reasonable adjustments for you from application onwards, including alternatives to the online form or to disclose a neurocognitive condition, please email UniversalMusicCareers@umusic.com.
Department Description
With a global footprint, the Universal Music Group Royalty and Copyright Product Team designs develops, delivers and maintains several technical solutions to calculate royalty accounting in a timely and accurate manner to our valued artists.
We’re also providing them with extensive and detailed visibility of their earnings from various sources of digital income. The team continuously collaborates with our international business teams to deliver innovative solutions, support best practices, and introduce new processes for better royalty flow.
The Role
The Data Engineer will work closely with business stakeholders, product managers, and engineering teams to deliver data-driven insights & automation that support the Royalty and Copyright business. The role is responsible for analyzing data, identifying trends, producing reporting or automated processes/ETL solutions, supporting data quality initiatives, and translating business requirements into actionable insights.
The successful candidate will help improve business decision-making through accurate reporting, analytics, and continuous process improvement.
Key Responsibilities
Design, build, and maintain scalable data pipelines and ETL/ELT processes.
Develop and optimise data integration solutions between on-premises and cloud platforms.
Ensure the quality, reliability, and integrity of enterprise data.
Build and maintain data warehouses, data lakes, and semantic data models.
Automate manual data processes to improve efficiency and reduce operational overhead.
Implement data governance, security, and compliance standards across data platforms.
Troubleshoot and resolve data quality, performance, and integration issues.
Work with stakeholders to gather requirements and translate them into reporting or automated solutions.
Communicate analytical findings and recommendations to technical and non-technical audiences.
Identify opportunities to automate reporting processes and improve operational efficiency.
Skills and Experience
Must Have
Strong SQL skills and experience querying large datasets.
Experience with Python, R, or other analytical programming languages.
Experience with reporting and visualization tools such as Power BI, Tableau, or Looker.
Experience development ETL/ELT solutions
Strong analytical and problem-solving skills.
Experience with data validation, reconciliation, and quality assurance processes.
Ability to gather, document, and analyze business requirements.
Excellent communication and stakeholder management skills.
Strong attention to detail and ability to work independently.
Experience working with relational databases, data warehouses, and reporting platforms.
Nice to Have
Knowledge of cloud data platforms such as AWS, Azure or Google Cloud.
Knowledge of royalty and copyright processes.
Experience working in Agile delivery environments.
Music industry business knowledge.
Key Behavioral/Personality Traits
You will have a strong track record of turning data into meaningful business insights and communicating complex findings clearly to stakeholders. You will be proactive in your approach, leveraging analytical and problem-solving skills to investigate issues, identify opportunities, and support business improvements. Attention to detail, curiosity, collaboration, critical thinking, and persistence will be essential to success.
Just So You Know…
The company presents this job description as a guide to the major areas and duties for which the jobholder is accountable. However, the business operates in an environment that demands change and the jobholder's specific responsibilities and activities will vary and develop. Therefore, the job description should be seen as indicative and not as a permanent, definitive, and exhaustive statement.
Job Category:
TechnologyData Engineer employer: Universal Music
Universal Music Group UK is an exceptional employer that fosters a vibrant and inclusive work culture, where creativity and collaboration thrive. With a strong commitment to employee growth, we offer comprehensive benefits including a generous pension scheme, private medical insurance, and opportunities for professional development. Located in the heart of the UK's music industry, our team is dedicated to shaping culture and empowering artists, making it a truly rewarding place to build your career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
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We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Universal Music. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Universal Music
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Universal Music!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
