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About the Role

You'll join a cross-functional Data Platform Team serving Emma's broader Data and Tech organisation. The team's mission is to make data work faster, safer, and more reliable through observability, access control, engineering standards, code reviews, internal tooling, and AI adoption across the full pipeline. While the primary focus is analytics engineering tooling and process, you'll operate across the full stack, working closely with Staff Analytics and Data Engineers to scope, build, and ship.

Responsibilities

Own and improve monitoring, alerting, and observability across the data platform.
Contribute to architecture discussions, propose improvements, document trade-offs, 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.
Write clear guides, standards, and documentation to help colleagues work more efficiently and consistently.
Build and maintain internal tooling that removes friction for the teams served.
Support AI adoption within our data infrastructure.
Enhance and build on our Redshift data warehouse using dbt and Paradime.
Orchestrate execution and dependencies between up/downstream pipelines.
Provision infrastructure via IaC so changes stay reproducible and version-controlled.
Contribute to ingestion pipelines across three core patterns - simple ELT, containerised Python, and event-based.

Requirements

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.
Enough dbt experience to review others' work and set standards.
Working knowledge of the AWS data stack (Redshift, S3, IAM, Athena, Glue) or equivalent.
Experience with lakehouse architectures (Apache Iceberg, Delta, etc).
Experience with pipeline orchestration (Apache Airflow or equivalent).
Experience with modern ingestion/ELT tooling (Airbyte, Fivetran, or equivalent).
Exposure to Infrastructure as Code (Pulumi, Terraform, or equivalent).
Confidence navigating internal tooling and existing codebases.
Strong communication and writing skills.
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.

Skills

SQL
Python
dbt
AWS data stack (Redshift, S3, IAM, Athena, Glue)
Lakehouse architectures (Apache Iceberg, Delta, etc)
Pipeline orchestration (Apache Airflow)
Ingestion/ELT tooling (Airbyte, Fivetran)
Infrastructure as Code (Pulumi, Terraform)
Communication
Writing
Documentation

Location

Europe
Portugal
Germany

Work Type

Remote
Hybrid

Experience Level

3+ years

Benefits

Maturing Scale-Up environment
Empowerment to Impact
Growth & Learning Journey (70/20/10 model)
Emma-zing Community
Next Level Global collaboration
Flexibility

About the Company

Emma – The Sleep Company, founded in 2015, is 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 to develop sleep comfort products that empower our customers to awaken their best every day.
Our products are trusted by millions and recommended by leading consumer associations worldwide.
We are a driven, international team that values ownership, collaboration, and continuous knowledge sharing.
We combine diverse perspectives with a shared ambition to learn, grow, and create lasting impact, together.

Equal Opportunity

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.