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- Tasks: Join us as a Data Engineer to build scalable data pipelines and automate workflows.
- Company: BMG is a leading music company focused on fair contracts and creative freedom.
- Benefits: Enjoy flexible working, 25 days leave, gym membership, and paid parental leave.
- Why this job: Shape the future of finance in music while working in a fun, inclusive environment.
- Qualifications: Bachelor’s degree in a related field and experience in data engineering required.
- Other info: We celebrate diversity and guarantee interviews for candidates with disabilities.
The predicted salary is between 36000 - 60000 £ per year.
BMG is committed to providing equal employment opportunities and we celebrate diversity in all forms. Equal opportunity runs deep in our core value of fairness and we are determined to create a truly inclusive work environment, where everyone can flourish. If you’re good at what you do, come as you are. All applicants to BMG will receive equal treatment regardless of age, disability, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation.
We’re seeking a highly skilled Data Engineer with a strong background in automation, pattern finding and pattern matching to join our dynamic team, based in London. You will play a key part in driving BMG’s automation strategy by solutioning advanced models that help royalties and finance teams to further improve data quality and make it AI ready. By working closely with business stakeholders and our data team, you will help shape the future of royalty and finance functions within BMG.
Key Responsibilities- Design, build and maintain scalable data pipelines and architectures.
- Automate data processing workflows to improve efficiency and reduce manual intervention.
- Analyse large datasets to identify patterns and trends that can drive business decisions and help them further improve data quality and make it AI ready.
- Collaborate with cross-functional teams to understand data requirements and provide actionable insights.
- Ensure the integrity and quality of data through rigorous testing and validation processes.
- Stay updated with the latest industry trends and technologies in data engineering.
- Ideally you will hold a bachelor’s degree in computer science, Data Science, Engineering or a related field.
- Proven experience as a Data Engineer or in a similar role.
- Proficiency in programming languages such as Python and SQL.
- Strong experience with data warehousing solutions and ETL processes.
- Familiarity with data visualisation tools and techniques.
- Experience in the Music or Fintech industry is highly desirable.
- First class problem-solving skills and attention to detail.
- Excellent communication with the ability to explain complex technical concepts to non-technical stakeholders and confidently present findings to senior management.
- Collaborative mindset, thriving in an international, cross-functional team environment.
Now, what’s in it for you? 25 days pro-rated annual leave, plus 3 days between Christmas & New Year and an extra day for your birthday! Flexible working opportunities. Subsidised gym membership. Private Health Insurance. All parents, regardless of gender or sexual orientation, will receive 6 months of fully paid parental leave. Annual gig allowance. Artist showcases. Cycle to work scheme. Season Ticket Loan. Workplace Nursery Scheme. Access to our Employee Assistance Programme. Give As You Earn Scheme. A fun and sociable office environment.
As a Disability Confident Committed organisation, we are dedicated to ensuring that candidates with disabilities are given a fair opportunity to demonstrate their abilities. Therefore, we guarantee an interview to applicants with disabilities who meet the essential criteria for the role.
Data Engineer - (Finance & Royalties Project - 12m FTC) employer: Penguin Random House
Contact Detail:
Penguin Random House Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - (Finance & Royalties Project - 12m FTC)
✨Tip Number 1
Familiarise yourself with the specific technologies and tools mentioned in the job description, such as Python, SQL, and data warehousing solutions. Being able to discuss your experience with these technologies in detail during an interview will show that you're well-prepared and knowledgeable.
✨Tip Number 2
Highlight any relevant experience you have in the music or fintech industries. If you've worked on projects that involved automation or data quality improvement, be ready to share those examples, as they will resonate well with the hiring team at BMG.
✨Tip Number 3
Prepare to demonstrate your problem-solving skills by thinking of specific challenges you've faced in previous roles and how you overcame them. This will help you stand out as a candidate who can tackle complex issues effectively.
✨Tip Number 4
Since collaboration is key for this role, think of examples where you've successfully worked in cross-functional teams. Be ready to discuss how you communicated technical concepts to non-technical stakeholders, as this will showcase your ability to bridge gaps between teams.
We think you need these skills to ace Data Engineer - (Finance & Royalties Project - 12m FTC)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with automation and data processing workflows. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the music or fintech industry. Mention specific projects or experiences that align with BMG's goals in improving data quality and automation.
Showcase Technical Skills: In your application, emphasise your proficiency in programming languages like Python and SQL, as well as your experience with data warehousing solutions and ETL processes. Provide examples of how you've used these skills in previous roles.
Highlight Collaboration Experience: BMG values teamwork, so be sure to include examples of how you've successfully collaborated with cross-functional teams. Discuss any experiences where you communicated complex technical concepts to non-technical stakeholders.
How to prepare for a job interview at Penguin Random House
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in programming languages like Python and SQL. Bring examples of past projects where you designed and built data pipelines or automated workflows, as this will demonstrate your hands-on experience.
✨Understand the Business Context
Familiarise yourself with BMG's role in the music industry and how data engineering impacts finance and royalties. This knowledge will help you articulate how your skills can contribute to their automation strategy and improve data quality.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities. Be ready to explain your thought process when analysing large datasets or identifying patterns, as this is crucial for driving business decisions.
✨Communicate Clearly with Non-Technical Stakeholders
Practice explaining complex technical concepts in simple terms. Since you'll be collaborating with cross-functional teams, showcasing your ability to communicate effectively with non-technical stakeholders will be a big plus.
