WHO WE ARE

Inato is a Tech for Good company striving to bring clinical research to each and every patient, regardless of who they are or where they live. To do this, we are building the world's first clinical trial platform to create greater visibility, access, and engagement across a more diverse population of doctors and their patients.

Drug development is a challenging, intellectually complex, and rewarding endeavor: we enable global pharmaceutical companies to confidently partner with community-based researchers to increase patient access to the latest medical innovations. The platform currently offers clinical trials from leading companies to over 4,000 sites across the globe. And we are well poised for growth in 2024.

We are a growing team of passionate pharmaceutical experts, software engineers, professional services members, and many more - all bringing their unique perspectives to solve the challenges facing clinical research. Our team members live by our company values to be bold, resilient, caring, and pragmatic. If this sounds like you, join us!

The role

We are seeking an experienced Data Engineer to join our Data team, composed of 1 data analyst, 2 product data analysts and 1 manager.

In this role, you will play a critical part in helping us build a scalable data infrastructure that supports the data team's mission to provide high-value analysis and tools to Inato’s team so they can make faster and better data-driven decisions.

This is an exciting opportunity to make a meaningful impact in a small and dynamic team that is changing the face of the industry.

Concrete projects you will be working on:

- Working hand-in-hand with product squads to bring trial experience and equipment data into site profiles. This data will be used to propose more and better matching clinical trials to hospitals.

- Working hand-in-hand with our AI lead to build machine learning pipelines that reconcile proprietary data with public data.

Our stack includes Google BigQuery, Segment, Airbyte, Airflow, dbt, Hex, Looker Studio, Retool, MixPanel, and more.

💊 Responsibilities

• Design, build, and maintain our data pipelines and infrastructure to ensure efficient and reliable data ingestion and processing.
• Collaborate with the rest of the Tech team (Engineering and AI) and the Product team to expose data to our product.
• Monitor and troubleshoot our data infrastructure to ensure maximum uptime and performance.

💊 Requirements

• 5+ years of experience in data engineering, with experience in building and maintaining data pipelines at scale.
• Strong experience with data processing languages such as Python and SQL.
• Experience with database technologies such as PostgreSQL.
• Familiarity with cloud-based data infrastructure and storage, preferably GCP.
• Experience with ETL/ELT tools such as Airflow, Segment, Airbyte.
• Strong written communication and project management skills. Inato is a remote-first company so we use mostly asynchronous ways of working.

💊 What your day-to-day will look like

• Daily asynchronous updates to the data team in Slack.
• Getting and receiving help from the team through asynchronous communication (Slack, notion, PR reviews) or live pairing sessions (Tuple).
• Reviewing alerts and solving issues on our data pipelines.
• Delivering code for your current data engineering project.
• Measuring the impact of your project using Hex (BI notebook).
• Making your decision-making process visible in Notion.

❓ Want to know more about the data team?

• Decoding Data: A Glimpse into my Life as a Product Data Analyst at Inato
• Decoding Data: A Glimpse into my Life as a Senior Data Analyst at Inato
• Decoding Data: A Glimpse into my Life as a Lead Data Analyst at Inato

Our benefits

• Remote-first philosophy & flexible hours
• Amazing office in Grands Boulevards, Paris where you can meet with colleagues if this is important for you
• Top-of-the-line equipments
• Compensatory time (RTT)
• Free health insurance
• Meal vouchers (Swile)
• Contribution to healthy activities (Gymlib)
• Free books & learning material

We strictly prohibit unlawful discrimination or harassment based on race, color, religion, veteran status, national origin, ancestry, pregnancy status, sex, gender identity or expression, age, marital status, mental or physical disability, medical condition, sexual orientation, or any other characteristics protected by law. We also make reasonable accommodations to meet our obligations under laws protecting the rights of the disabled.