Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build data systems for a revolutionary music platform.
- Company: Join an innovative tech company transforming the music industry.
- Benefits: Competitive salary, flexible time off, and comprehensive medical insurance.
- Why this job: Be the first data hire and shape the future of music distribution.
- Qualifications: Experience in data engineering 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 is 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.
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 employer: elasticStage Ltd
Contact Detail:
elasticStage Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the music and tech industries on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those related to music or media. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company’s mission. Be ready to discuss how your experience aligns with their goals in redefining the music industry.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in our mission.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Show Your Passion for Music: When you're writing your application, let your love for music shine through! We want to see how your passion aligns with our mission to support artists and redefine the music industry.
Highlight Relevant Experience: Make sure to showcase your experience as a Data Engineer, especially in fast-paced environments. We’re looking for someone who can hit the ground running, so don’t hold back on those key projects you've worked on!
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that make it easy for us to see your skills and experiences without wading through unnecessary fluff.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to join our team.
How to prepare for a job interview at elasticStage Ltd
✨Know Your Data Tools
Familiarise yourself with the modern data tooling mentioned in the job description, like Airflow, dbt, and Kafka. Be ready to discuss how you've used these tools in past projects and how they can be applied to the role at this company.
✨Showcase Your Architectural Mindset
Prepare examples that demonstrate your ability to balance scalability, performance, reliability, and cost in data architecture. Think about specific challenges you've faced and how you overcame them, as this will show your problem-solving skills.
✨Passion for Music is Key
Since the company is redefining the music industry, express your passion for music and how it relates to your work. Share any personal experiences or projects that connect your data engineering skills with the creative industries.
✨Prepare for Technical Questions
Expect technical questions around SQL, Python, and data pipeline design. Brush up on your coding skills and be ready to solve problems on the spot. Practising common data engineering scenarios can help you feel more confident during the interview.
