Senior Data Engineer, Product

United States Digital Space LLC; Helsinki; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Competitive salary

Lunch benefit

Wellness benefit

Flexible working hours

Job summary

United States Digital Space LLC in Helsinki is seeking a Senior Data Engineer – Product to join our Data Engineering & Analytics team. You will own the data infrastructure powering the longitudinal member journey, migrating analytics from Amplitude/Segment/Snowflake/Athena/QuickSight to Databricks, and partnering with product, data science, and health teams.

You will design and build production-grade data pipelines, ensure data governance, and contribute to a scalable analytics platform within a

Qualifications

• 5+ years of experience building and operating production data pipelines.
• Strong SQL and Python skills; track record of production-grade pipelines.
• Experience with product analytics stacks and data migrations across multi-tool environments.
• Experience with cloud data warehousing (Snowflake, Athena, BigQuery) or similar.

Responsibilities

• Design, build, and maintain data pipelines unifying product and member data into a governed data layer.
• Lead migration of product analytics infra to Databricks; ensure analytics continuity and improved scalability.
• Own the longitudinal member journey data model across health intelligence and subscription milestones.
• Collaborate with Product, Data Science, and Health Intelligence teams to meet data requirements and deliver scalable pipelines.

Skills

SQL

Python

Data pipelines

Databricks

dbt

Cloud platforms

BigQuery

Tools

Amplitude

Segment

Snowflake

Athena

QuickSight

Spark

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 – Product to join our Data Engineering & Analytics team, based in Helsinki. Your primary focus will be the software product data domain — owning the data infrastructure that powers the company's end-to-end longitudinal member journey, spanning member engagement, health intelligence, and personalized product experiences. A major part of this role is maturing our product analytics stack from its current foundation (Amplitude, Segment, Snowflake, Athena, QuickSight) to a unified, governed Databricks-based platform. While product data engineering is your core domain, we expect and actively support team members growing into adjacent areas — such as health science analytics, platform infrastructure, or data mesh ownership — as the team and business evolve.

This role is based in Helsinki, Finland.

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

• Design, build, and maintain data pipelines that unify the company's product and member behavioural data — including engagement events, feature usage, session data, health intelligence signals, and subscription lifecycle — into a reliable, governed data layer.
• Lead the migration of product analytics infrastructure from the current stack (Amplitude, Segment, Snowflake, Athena, QuickSight) to Databricks, ensuring continuity of existing analytics while dramatically improving scalability, governance, and cost efficiency.
• Build and own the end-to-end longitudinal member journey data model — a unified view of how members engage with the company's app and ring across health intelligence features, wellness journeys, and subscription milestones.
• Partner closely with Product, Data Science, and Health Intelligence teams to define data requirements and deliver pipelines and models that power product decisions at scale.
• Own data quality and reliability for the product data domain: schema governance, lineage documentation, data contracts, and monitoring.
• Ensure product data systems comply with the company's privacy, data governance, and security requirements — critical given the sensitivity of health and behavioural data.
• Evaluate and rationalise the existing tool stack — instrument Segment event schemas, manage Amplitude data exports, maintain Snowflake/Athena integrations during transition — and progressively consolidate onto Databricks.
• Write clean, tested, production-grade code primarily in Python and SQL.

Cross-functional Growth Areas (expected over time)

• Contribute to the broader Databricks lakehouse architecture (Apache Iceberg, dbt, Unity Catalog).
• Expand data engineering coverage to Health Intelligence and Science data domains.
• Support the Data Mesh initiative by establishing Product as an owned, well-governed data domain.
• Mentor and collaborate with analysts who consume product data.

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

• 5+ years of experience developing and operating production data pipelines.
• Hands-on experience with product analytics stacks — specifically Amplitude, Segment, or equivalent event-tracking and CDP platforms — and strong intuition for how product behavioural data is structured.
• Experience migrating or consolidating data infrastructure; comfort working in a multi-tool environment during a platform transition.
• Strong SQL and Python skills; track record of building tested, reliable, production-grade pipelines.
• Experience with cloud data warehousing — Snowflake, Athena, BigQuery, or similar.
• Good understanding of event-driven architectures, stream processing, and longitudinal / session-level data modelling.
• Familiarity with dbt, Databricks, Spark, or modern lakehouse tooling.
• Experience running and monitoring production data systems on AWS or equivalent cloud.
• Self-motivated, pragmatic, and able to lead your own work in a distributed team.
• Fluent in English; comfortable collaborating across Finland, the US, and other the company locations.

What Makes You Stand Out

• Real-world Databricks experience, including Unity Catalog or Delta Live Tables.
• Experience designing member or user journey data models for a consumer subscription or digital health product.
• Familiarity with health data — wearable telemetry, physiological signals, or clinical/wellness event data.
• Experience with Data Mesh and domain-oriented data ownership.
• Broad knowledge of software fundamentals, system design, and multiple programming languages.

What We Offer:

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.