Oura Health Oy logo
Oura Health Oy
Company insights
Helsinki, Finland
Posted August 27, 2026 · 5 days ago · Last seen September 1, 2026 · Est. expiry October 1, 2026

Data Engineer

Senior Data Engineer
How this salary compares
Salary Context: Data Engineer

Hover or tap a row for full statistics (EUR / month on this chart).

Salary analysis

Compared with the selected benchmark ("Market Average: Senior Level"), this listing's salary midpoint is about 95% lower. The offer sits below the benchmark range (€2,952–€12,443). The listed pay band (€329–€400) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 9 comparable listings.

Monthly salary comparison for Data Engineer
MarketLower bound (25th percentile)MedianUpper bound (75th percentile)
Market Average: Data Engineer€3,200/per month€5,500/per month€7,480/per month
About the role

Our mission at Oura 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 Oura 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 Senior Data 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 Oura'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 Oura'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 Oura'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 Oura'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 Oura 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 Oura, we care about you and your well-being. Everyone here at Oura 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 Oura Ring plus lifetime membership Oura 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 Oura 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. Disclaimer: Beware of fake job offers!We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: Our jobs are listed only on the ŌURA Careers page and trusted job boards. We will never ask for personal information like ID or payment for equipment upfront. Official offers are sent through Docusign after a verbal offer, not via text or email. Stay cautious and protect your personal details. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.

Job Details

Responsibilities

  • Design, build, and maintain data pipelines that unify product and member behavioral data into a governed data layer
  • Lead migration of product analytics infrastructure to Databricks
  • Build and own end-to-end longitudinal member journey data model
  • Collaborate with Product, Data Science, Health Intelligence to define data requirements
  • Own data quality and governance for product data domain
  • Ensure privacy, governance, and security compliance
  • Evaluate and consolidate tool stack during transition
  • Write production-grade code in Python and SQL
  • Contribute to Databricks lakehouse architecture and expand coverage over time
  • Mentor analysts who consume product data

Requirements

  • 5+ years of experience developing and operating production data pipelines
  • Hands-on experience with product analytics stacks — Amplitude, Segment, or equivalent
  • Experience migrating or consolidating data infrastructure
  • Strong SQL and Python skills
  • Experience with cloud data warehousing — Snowflake, Athena, BigQuery, or similar
  • Familiarity with dbt, Databricks, Spark, or modern lakehouse tooling
  • Experience running and monitoring production data systems on AWS or equivalent
  • Fluent in English

Skills & Technologies

PythonSQLDatabricksSnowflakeAthenaBigQueryAmplitudeSegmentdbtSparkAWSCDCData mesh
Seen 21 hours agoPartial Schema
Oura Health Oy logo
Oura HealthOy · 36 open roles
Top locations: Oulu, Finland · 18 · Helsinki, Finland · 10 · Remote - Global · 6+1 other locations
View company
Current open roles at Oura Health Oy on JobCrawls
LocationActive listings
Oulu, Finland18
Helsinki, Finland10
Remote - Global6
Finland2
Current role mix at Oura Health Oy on JobCrawls
Role typeActive listings
Product Manager3
Software Engineer2
Program Manager1
Technical Project Manager1
Process Engineer1
Research Coordinator1
Assistant1
Director1
Community Manager1
Firmware Developer1
Sourcing Manager1
Biomedical Engineer1
Data Engineer1
Backend Developer1
Engineer1
Security Engineer1
Data Scientist1
General1
Hardware Security Engineer1
Project Manager1
Senior iOS Engineer1
Electronics Engineer1
Product Marketing1
Design Engineer1
Current role-level mix at Oura Health Oy on JobCrawls
Role levelActive listings
Senior4
Mid-Level2
Manager1

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