We are seeking a Lead Data Infrastructure 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.

As a Lead Data Infrastructure Engineer (AWS, Factory & Web Analytics), you will design and build the data backbone that connects elasticStage’s two software systems - our Web platform and our Factory system, with our global artist ecosystem.

We’re now ready to take our data systems to the next level, integrating factory telemetry, manufacturing performance, sales data, and creator engagement into one consistent, reliable platform. This is a hands-on role for an experienced data engineer/architect who will shape how data flows through elasticStage: designing and implementing scalable pipelines, ensuring data quality and governance, and enabling teams to make decisions from fast, trustworthy, well-structured datasets.

Join us and help create the data foundation powering the world’s most advanced on-demand music platform.

Requirements

• Set & enforce data standards: Define, document, and enforce event schemas, data contracts, and modelling conventions across the Factory and Web systems.
• Data quality & root-cause elimination: Establish tests, SLAs, lineage, and monitoring; run post-incident reviews and drive permanent fixes.
• Platform creation & optimisation (AWS): Architect and operate on AWS (S3, Glue, Athena/Redshift Serverless, Lambda, Kinesis, Aurora/RDS, IAM) optimised for cost, performance, and reliability.
• Pipelines (ETL/ELT): Build and maintain batch/stream pipelines unifying factory machines & QC events, the web platform (creators, releases, orders, sales), and third-party APIs (royalties, payments, logistics).
• Modelling & lakehouse: Define and maintain a structured data lake and analytics schemas with dbt (or equivalent) and AWS cataloguing tools.
• Governance & compliance: Implement access controls, privacy/PII handling, auditability, and clear ownership.
• Observability: Deliver lineage, testing, alerting, and cost/perf dashboards so pipelines are visible and dependable.
• Collaboration: Partner with software, factory/ops, and product teams to co-design events and contracts; ensure smooth, scalable data flows.
• Analytics enablement: Lay the foundation for dashboards, forecasting, and operational analytics, selecting best-fit BI tools.
• Mentorship & leadership: Lead design discussions, set technical direction, and mentor developers to raise data literacy and engineering standards.

What You’ll Build (first 6-12 months):

• A unified AWS-based data lake capturing events from both Factory and Web systems.
• Clean, versioned datasets for manufacturing performance, sales, and creator engagement.
• Data models powering operational visibility, forecasting, and future ML/AI.
• A platform that scales as elasticStage expands to new manufacturing sites and markets.

Required Skills and Qualifications:

• Deep, hands-on experience designing and operating data platforms on AWS (S3, Glue, Athena/Redshift Serverless, Lambda, Kinesis, IAM) and relational stores (Aurora/RDS).
• SQL + Python proficiency; experience with dbt (or similar) and a modern orchestration tool.
• Strong data modelling & warehousing (fact/dimension, star schema); track record shipping clean, versioned, analytics-ready datasets.
• Experience with IoT/manufacturing/telemetry pipelines and understanding of factory metrics (uptime, routing, yield, throughput).
• Discipline in documentation, governance, testing, and lineage; able to balance scalability, reliability, performance, and cost.
• Clear communicator who collaborates across engineering, operations, and business, and leads by example.

Nice to Have:

• Exposure to Databricks, Redshift, or Snowflake; modern ingestion tools (Fivetran/Kafka/Glue jobs).
• BI experience (Looker, Tableau, Power BI) and rolling out a metrics layer.
• Startup/fast-growth background; 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.