Analytics Engineer, Data Platform

Ready to lead, disrupt and reinvent the sleep industry?

We are Emma – The Sleep Company. Founded in 2015, we have grown into the world’s largest direct-to-consumer (D2C) sleep brand, with a presence in over 20 markets and more than 35 Emma stores across Europe. 

Our mission is simple: to develop sleep comfort products that empower our customers to awaken their best every day. Today, our products are trusted by millions and recommended by leading consumer associations worldwide. 

It’s our people who bring this mission to life. At Emma, you’ll join a driven, international team that values ownership, collaboration, and continuous knowledge sharing. With colleagues from over 70 nationalities, we combine diverse perspectives with a shared ambition to learn, grow, and create lasting impact, together. 

Ready to awaken your best with us? 

You'll join a cross-functional Data Platform Team serving Emma's broader Data and Tech organisation, with internal users spanning analysts, analytics engineers, data scientists and data engineers. The team's mission is to make that work faster, safer, and more reliable - through observability, access control, engineering standards, code reviews, internal tooling, and AI adoption across the full pipeline from ingestion to BI tool consumption.

While the primary focus is analytics engineering tooling and process, you'll operate across the full stack, working closely with the Staff Analytics and Data Engineers to scope, build, and ship, while raising the bar for how the team builds. The role rewards breadth and initiative over deep specialisation in one layer, requiring frequent context-switching and comfort with unfamiliar problems.

• 3+ years in a data platform, data engineering, analytics engineering, DataOps, or closely related role in a production environment.
• Breadth over depth in a single tool - comfortable switching between topics, picking up unfamiliar problems, with a wide base of technical knowledge across the data stack.
• Strong SQL and Python skills, with a real understanding of how databases work (query execution, performance tuning, storage, access and permission models) and enough dbt experience to review others' work and set standards.
• Working knowledge of the AWS data stack (Redshift, S3, IAM, Athena, Glue) or equivalent, plus experience with lakehouse architectures (Apache Iceberg, Delta, etc), pipeline orchestration (Apache Airflow or equivalent), and modern ingestion/ELT tooling (Airbyte, Fivetran, or equivalent).
• Exposure to Infrastructure as Code (Pulumi, Terraform, or equivalent), and confidence navigating internal tooling and existing codebases.
• Strong communication and writing. You can move between a stakeholder conversation about a problem and a technical discussion about how to solve it.
• Comfortable writing documentation, guides, and architecture decisions. 
  
• Initiative and autonomy to drive work forward independently after onboarding, raising blockers early.
  
• Fluent English, written and spoken; based in Europe with workable timezone overlap.

Become an Emmie 

We are on a mission to become No.1 in the world of sleep, and we’re looking for driven, ambitious people to help us shape what’s next. If you’re curious, hands-on, and ready to challenge the status quo, you’ll find the space here to make things happen and create real impact.  

We are proud to be an equal opportunity employer and are committed to building an inclusive workplace. We celebrate diversity and consider all qualified applicants regardless of race, ethnic origin, religion or belief, gender, gender identity or expression, sexual orientation, national origin, disability, or age. 

Our aim is to get back to you within a few days. Due to the high volume of applications, there may be slight delays, but we’ll get back to you as soon as possible.