Senior Data Engineer, Membership

United States Digital Space LLC; Helsinki; Hybrid; EUR 70,000 - 120,000; Full time

Benefits offered by this job

Competitive salary

Lunch benefit

Wellness benefit

Flexible working hours

Wellness Time Off

Enhanced occupational health care

Personal the company Ring plus lifeime

Job summary

the company is seeking a Senior Data Engineer – Membership to join our Data Engineering & Analytics team in Helsinki. You will design and own data pipelines that unify membership data from multiple sources into a production-grade data layer, enabling analytics-ready insights for a growing revenue stream.

You will collaborate with analytics, marketing, product, and finance teams to define data requirements, ensure data quality, and contribute to the data mesh ownership model as the organization

Qualifications

• 5+ years of experience in data engineering, building and operating production pipelines.
• Strong SQL and Python skills with a track record of reliable pipeline development.
• Experience integrating data from subscription billing, CRM, or marketing platforms (Stripe, Braze, Salesforce, Shopify, or similar).
• Familiarity with modern data stack tooling: dbt, Databricks, Spark, Airflow, or equivalent.
• Good understanding of subscription data models: subscriber lifecycle, events, billing, cancellations.

Responsibilities

• Design, build, and maintain data pipelines ingesting and modeling membership data from multiple sources into a unified data layer.
• Partner with analytics, marketing, product, and finance teams to define data requirements and deliver reliable data products.
• Own end-to-end data quality and reliability for the membership data domain from ingestion to analytics-ready tables.
• Integrate billing, CRM, and app engagement data into a coherent membership data model.
• Apply data governance practices: lineage, documentation, access controls, and metric validation.

Skills

SQL

Python

Data pipelines

Cloud AWS

dbt

Databricks

Spark

Airflow

Data governance

Data Mesh

Tools

Stripe

Braze

Salesforce

Shopify

dbt

Databricks

Spark

Airflow

AWS

Job description

Our mission at the company is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their the company Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles.

Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office.

We are looking for a SeniorData Engineer – Membership to join our Data Engineering & Analytics team. Your primary focus will be building and owning the data pipelines and infrastructure that unify the company's membership data across multiple source systems — creating a reliable, governed single source of truth for subscriber data. Membership is a core and rapidly growing revenue stream, and there is currently no dedicated engineering resource supporting it. While Membership is your primary domain, we expect and actively support team members growing into adjacent engineering areas — such as Marketing, E-commerce, or broader data platform work — as the organization scales.

What You'll Do:Primary Focus – Membership Data Engineering

• Design, build, and maintain data pipelines that ingest, harmonize, and model the company's membership data from multiple source systems into a unified, production-grade data layer.
• Partner with the Membership Data Analyst, Marketing, Product, and Finance teams to define data requirements and deliver reliable membership data products.
• Own end-to-end data quality and reliability for the membership data domain — from raw ingestion to analytics-ready tables.
• Integrate subscription billing, CRM, and app engagement data into a coherent Membership data model.
• Apply data governance practices: data lineage, documentation, access controls, and metric validation.
• Contribute to the Membership domain's Data Mesh ownership model.

Cross-functional Growth Areas (expected over time)

• Expand into Marketing/Martech or E-commerce data engineering as the team scales.
• Contribute to broader lakehouse architecture improvements (Iceberg, Databricks, dbt).
• Support platform infrastructure work alongside the Data Platform team.

We would love to have you on our team if you have:

• 5+ years of experience in data engineering, building and operating production pipelines.
• Strong SQL and Python skills with a track record of reliable pipeline development.
• Experience integrating data from subscription billing, CRM, or marketing platforms (Stripe, Braze, Salesforce, Shopify, or similar).
• Familiarity with modern data stack tooling: dbt, Databricks, Spark, Airflow, or equivalent.
• Good understanding of subscription data models: subscriber lifecycle, events, billing, cancellations.
• Experience running and monitoring production systems on AWS or equivalent cloud.
• Self-motivated, pragmatic, and able to manage your own work in a distributed team.

What Makes You Stand Out:

• Experience building data infrastructure for a consumer subscription or membership business.
• Familiarity with event-driven architectures and stream processing for subscription event data.
• Experience with Data Mesh and domain-oriented data ownership.
• Exposure to Marketing or E-commerce data engineering.

At the company, we care about you and your well-being. Everyone here at the company has a ring of their own and we are continually looking to improve employee health.

Benefits:

• Competitive salary
• Lunch benefit
• Wellness benefit
• Flexible working hours
• Wellness Time Off
• Enhanced occupational health care
• Personal the company Ring plus lifetime membership

the company is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at the company are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics.

We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment.