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Analytics Engineer, Data Platform

Work from home Full-time role Hiring

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.

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. What you will do:

Reliability, Standards & Governance

  • Own and improve monitoring, alerting, and observability across the data platform, so failures are caught early and pipeline/model health is visible to teams.
  • Contribute to architecture discussions: propose improvements, document trade-offs (ADRs, RFCs), and help decide what to build, refactor, or retire.
  • Set, document, and enforce engineering standards and best practices across our lakehouse, orchestration layer, data warehouse, and reporting systems, including code review culture.

    • Enablement & Internal Tooling

  • Write clear guides, standards, and documentation that help colleagues across the Data domain work more efficiently and consistently, driving alignment through knowledge-sharing forums.
  • Build and maintain internal tooling that removes friction for the teams you serve (e.g. AI-augmented workflows, extending observability and quality frameworks).
  • Support AI adoption within our data infrastructure, in collaboration with the broader tech division.

    • Hands-On Pipeline & model development

  • Enhance and build on our Redshift data warehouse using dbt and Paradime.
  • Orchestrate execution and dependencies between up/downstream pipelines (MWAA, Paradime), provisioning infrastructure via IaC (Pulumi, Terraform) so changes stay reproducible and version-controlled.
  • Contribute to our ingestion pipelines across three core patterns - simple ELT, containerised Python, and event-based - landing data reliably into our medallion lakehouse (S3, Glue, Iceberg).
    • Who we're looking for:
  • 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.
    • What we offer:
  • Maturing Scale-Up: We’re part of the 13–20% of start-ups that transition to scale-up. This is a rare stage where we refine systems without losing agility. It’s where start-up energy meets scalable impact - and where people can build the next version of Emma.
  • Empowerment to Impact: Every Emmie owns part of our success with accountability. It’s about seeing it, owning it, doing it – something that is valued and measured in development.
  • Growth & Learning Journey: We live by the 70/20/10 model – with 70% on the job, 20% from others, 10% structured training. We invest in your growth with trainings and coaching to get you to the top of your game.
  • Emma-zing Community: We hire selectively which means working with smart, collaborative people who care deeply. It’s a community built by Emmies for Emmies.
  • Next Level Global: With 60+ nationalities across 4 offices, global collaboration is part of our values. You’ll work across cultures, perspectives, and time zones.
  • Flexibility: Our Technology team's remote work policy allows for great flexibility. (Please note that the role requires being based in Portugal or Germany)

    • 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.  

    Requires 3+ years in data platform, data engineering, analytics engineering, DataOps, or related production work; strong SQL and Python; dbt, AWS data stack, lakehouse, orchestration, ingestion, and IaC experience; fluent English.

    Key Responsibilities

    • improving observability
    • building tooling
    • developing pipelines

    Skills & Tools

    SQL, Python, dbt, Paradime, Redshift, MWAA, Pulumi, Terraform, S3, Glue, Iceberg, AWS, IAM, Athena, Apache Iceberg, Apache Airflow, Airbyte, Fivetran, Delta

    Job Details

    • Category: Data and Analytics
    • Seniority: Mid Level
    • Commitment: Full Time
    • Workplace: Remote — Frankfurt or Lisbon or Berlin
    • Languages: English

    Benefits

    • Tuition reimbursement

    About Emma - The Sleep Company

    A direct-to-consumer sleep brand developing and selling sleep comfort products through online channels and stores. — Industry: Retail and Wholesale

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