We are seeking a
Senior Data Engineer
to help us redefine the music industry. The company has 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 are working with the leading record labels, streaming services, digital service providers, distributors, and iconic global artists who are keen to partner with us to build a global solution for physical media. But most of all, we would also like to give small artists and artists at the beginning of their careers frictionless access to offer vinyl and CD to their fans via our innovative solution and planned production/fulfilment centres in Europe, USA, and Asia.
The vinyl market has been growing on average more than 20% yearly over the last 16 years, and even CDs are growing for the first time in two decades. Over 30 million creators are releasing their music online today, and they are growing 30% a year. They represent the fastest-growing music segment. Most of them would like to have their music on vinyl or CD for their friends \& family, and especially their fans. elasticStage will provide them with easy and affordable access via its unique and scalable on-demand tech.
We are looking for a talented and driven Senior Data Engineer to design, build, and scale the data systems that support both our web platform and factory operations. As our first dedicated data hire, this is a hands-on and high-impact role. You'll set the standards for data architecture, reliability, and governance, ensuring pipelines are clean, monitored, and resilient. Your work will give elasticStage a single source of truth for analytics, reporting, and future AI/ML use cases, shaping the way data drives our business.
Come join us and help scale a fast-growing, high-profile industry disruptor!
Requirements
Design and implement scalable data architecture across Snowflake, AWS Aurora/RDS, and core AWS services
Build and maintain robust ETL/ELT pipelines for web data, factory telemetry, and third-party integrations
Ensure data reliability through monitoring, alerting, and best practices in pipeline resilience
Define data models and schemas, and establish best practices for data governance
Collaborate with software and hardware engineering to guarantee smooth and scalable data flows
Provide analytics-ready datasets to enable BI, reporting, and stakeholder insights
Optimise cost, performance, and security across the data stack
Required Skills and Qualifications:
Strong experience as a Data Engineer (ideally in a startup or fast-scaling tech environment)
Deep expertise with Snowflake (architecture, modelling, performance tuning)
Strong knowledge of AWS Aurora/RDS and relational database design
Proficiency in SQL and Python (or similar languages 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.
Nice to Haves
Experience with data from manufacturing, IoT, or factory systems
Knowledge of BI tools (Tableau, Looker, Power BI)
Passion for music, media, or creative industries
Benefits
What We Offer
Industry-Leading Salary Package: Enjoy a highly competitive salary package that rewards your expertise and hard work
Generous Paid Holiday: Take advantage of 25 days of paid holiday to relax and recharge
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