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- Tasks: Design and build data systems for a revolutionary music platform.
- Company: Join a fast-growing disruptor in the music industry.
- Benefits: Competitive salary, flexible time off, and comprehensive medical insurance.
- Why this job: Shape the future of music with innovative data solutions.
- Qualifications: Strong Data Engineering experience and proficiency in SQL and Python.
- Other info: Hybrid work model with a vibrant office in King's Cross, London.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a Senior Data Engineer to help us redefine the music industry. We have invented a new technology to produce on-demand vinyl records and built a web platform for music creators to create and sell their products worldwide via our store at zero cost. We partner with leading record labels, streaming services, digital providers, distributors, and iconic global artists to build a global solution for physical media, giving small and emerging artists frictionless access to offer vinyl and CDs to their fans through our innovative solution and planned production/fulfilment centres in Europe, the USA, and Asia.
The vinyl market has grown over 20% yearly for the last 16 years, and CDs are growing again for the first time in two decades. By 2030, there will be nearly 200 million music creators worldwide, with AI accelerating this even further. Most would love to have their music on vinyl or CD for friends, family, and fans. Many would happily buy a record for around $30 if it’s accessible without high costs or minimums, which our scalable on-demand tech makes possible. elasticStage delivers easy, affordable access to this booming opportunity.
We’re looking for a talented and driven Senior Data Engineer to design, build, and scale the data systems supporting our web platform and factory operations. As our first dedicated data hire, this is a hands-on, high-impact role. You’ll set standards for data architecture, reliability, and governance, ensuring pipelines are clean, monitored, and resilient. Your work will create a single source of truth for analytics, reporting, and future AI/ML use cases, shaping how data powers our business.
Come join us and help scale a fast-growing, high-profile industry disruptor.
Responsibilities:- Design and build the foundational data stack from scratch: data warehouse, ETL/ELT pipelines, and orchestration.
- Design and implement scalable data architecture using modern cloud services and managed data platforms.
- Build and maintain robust ETL/ELT pipelines for web data, factory telemetry, and third-party integrations.
- Select appropriate tools balancing cost, complexity, and team capabilities (e.g., choosing between Snowflake, BigQuery, or a simpler Postgres-based approach).
- Establish data modelling patterns that scale with the product.
- Work with Software Engineering to define data models, schemas, and best practices for data governance.
- Instrument event tracking across the product in collaboration with software and hardware engineers.
- Provide analytics-ready datasets to enable BI, reporting, and stakeholder insights.
- Optimise cost, performance, and security across the data stack.
- Strong experience as a Data Engineer (ideally in a startup or fast-scaling tech environment).
- Strong knowledge of relational database design, with experience working in cloud-hosted data systems.
- Proficiency in SQL and Python (or similar for data pipelines).
- Familiarity with modern data tooling (Airflow, dbt, Kafka, Fivetran, AWS Glue, etc.).
- Architectural mindset: balancing scalability, performance, reliability, and cost.
- Excitement about being the first data hire and shaping the company’s data foundations.
- Knowledge of BI tools (Tableau, Looker, Power BI).
- Experience with data from manufacturing, IoT, or factory systems.
- Passion for music, media, or creative industries.
- Industry-Leading Salary Package: Enjoy a highly competitive salary package that rewards your expertise and hard work.
- Flexible time off: 25 days of paid holiday, a paid birthday off, and remote-friendly working.
- Comprehensive Pension Scheme: Secure your future with our robust pension scheme.
- Cutting-Edge Tech Office Environment: Work in a modern, tech-driven office environment equipped with the latest tools and technology.
- Medical Insurance: Protect yourself with our comprehensive medical insurance plan.
Work Location: Enjoy a hybrid work model with the flexibility to work from home, while spending at least 2 days a week in our vibrant London, King’s Cross office.
Senior Data Engineer in London employer: elasticStage
Contact Detail:
elasticStage Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your data engineering projects. This gives us a tangible way to see what you can do and how you think about solving problems.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding our company’s mission. Be ready to discuss how your experience aligns with our goals in redefining the music industry.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team and being part of this exciting journey.
We think you need these skills to ace Senior Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with data architecture, ETL/ELT pipelines, and any relevant tools you've used. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for music and how your background in data engineering can help us redefine the industry. Let us know why you’re excited about this opportunity at StudySmarter.
Showcase Relevant Projects: If you've worked on projects that involved building data systems or using modern data tooling, make sure to showcase them. We love seeing real-world applications of your skills, especially if they relate to the music or creative industries!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. We can't wait to hear from you!
How to prepare for a job interview at elasticStage
✨Know Your Data Tools
Make sure you’re well-versed in the modern data tooling mentioned in the job description, like Airflow, dbt, and Kafka. Brush up on how these tools can be applied to build scalable data architectures, as this will show your technical prowess and readiness for the role.
✨Showcase Your Architectural Mindset
Prepare to discuss your approach to balancing scalability, performance, reliability, and cost in data systems. Have examples ready from your past experiences where you successfully designed or optimised data pipelines, as this will demonstrate your strategic thinking and problem-solving skills.
✨Connect with the Company’s Mission
Familiarise yourself with the company’s innovative approach to the music industry. Be ready to express your passion for music and how it aligns with your work as a Data Engineer. This connection can set you apart and show that you’re not just looking for any job, but are genuinely excited about this opportunity.
✨Prepare for Collaboration Questions
Since you’ll be working closely with software engineers and other teams, think of examples that highlight your collaborative skills. Be prepared to discuss how you’ve worked cross-functionally in the past, especially in defining data models and governance practices, as this will showcase your ability to integrate into their team.
