Tech jobs
Job listings
Senior Data Engineer – Hardware & Supply Chain
Build and maintain data pipelines and models for Oura’s hardware manufacturing, integrating MES/ERP systems to track production yield, device traceability, and supply chain health.
Staff Enterprise Data Architect
Leads the enterprise data architecture vision for Oura, designing scalable data platforms and governance standards to support analytics, AI/ML, and global business strategy.
Senior Business Systems Analyst, Enterprise Planning (Pigment)
Own and evolve Oura’s Pigment EPM platform, building financial and supply-chain planning models, integrating data from NetSuite and Databricks, and enabling FP&A and Supply Chain teams with self-service analytics.
Senior Data Engineer, Membership
Build and own data pipelines that unify Oura’s membership data into a single source of truth, integrating subscription billing, CRM, and app engagement systems using modern stack tools.
Senior Data Engineer, Product
Build and migrate Oura’s product analytics stack to Databricks, owning pipelines that unify member behavior and health data to power app features and insights.
Senior Data Engineer - Finance
Build and maintain data pipelines and models for Oura's financial data, including revenue, LTV, and Corporate Scorecard, using SQL, Python, and cloud tools like AWS and Databricks.
Data Engineer
Builds and maintains data pipelines, databases, and dashboards to support health research using Python, SQL, AWS, and Databricks.
Senior MLOps Engineer
Leads MLOps platform design and ML workflows for Oura’s health-tech products, focusing on scalable ML deployment, governance, and tooling (e.g., MLflow) to support data science teams across domains like sleep/activity tracking.
Platform Engineer (m/f/d)
Build and maintain cloud infrastructure on Microsoft Azure, including Kubernetes and Azure Databricks, using Terraform and GitOps for Data & AI teams.
Data Engineer Spark Scala - Services Financiers - Ile-De-France
Designs, builds, and maintains resilient data pipelines for financial clients using Spark, Scala, and cloud platforms like Azure HD Insight.
Data Engineer Cloud Confirmé / Senior (F/H)
Senior Data Engineer builds and optimizes cloud-based data pipelines for clients in energy, transport, finance, and healthcare, using Spark, Kafka, and cloud platforms like Azure/GCP.
Data Engineer Python / Spark Expérimenté (H/F)
Build and maintain data pipelines and dashboards for a major transport group using Python, Spark, and Streamlit on Azure/Databricks.
Senior Data Engineer Databricks H/F
Build and maintain robust data pipelines on Databricks using PySpark and SQL, collaborating with clients across industries to deliver scalable data solutions.
Data Engineer - Databricks, Python, AWS & Spark
Build and maintain robust data platforms on AWS/Azure and Kubernetes using Python, Databricks, and Spark, including ETL pipelines and Django APIs.
Analytics Engineer: AI‑First Data Pipelines & Dashboards
Build and maintain AI-first data pipelines and dashboards using SQL and Python in Databricks to turn raw data into actionable insights for a product-focused team.
Junior Data Engineer — Databricks & Big Data
Builds and maintains data pipelines on Databricks using Spark, Hadoop, Python, and SQL, with exposure to cloud platforms like AWS, Azure, or GCP.
Data Engineer Senior (H/F)
Build and scale high-volume data pipelines for an industrial IoT platform on AWS, using Spark/Flink, Kinesis, Databricks, and FastAPI to deliver real-time and batch analytics.
Data Engineer (F/H/NB)
Design and build scalable, AI-ready data pipelines using Spark, Kafka, and cloud platforms (AWS/GCP) to power GenAI models and analytics for enterprise clients.
Applied AI - Senior Data Engineer
Senior Data Engineer builds scalable data pipelines and AI solutions for Nexans’ digital transformation, leveraging Python, Databricks, and cloud platforms to enable measurable business impact.
Senior Databricks Data Engineer — Azure & AI Pipelines
Senior Data Engineer builds and optimizes Databricks and Azure pipelines for a major retail company, using Python and SQL to process large-scale data and support AI-driven projects.