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Senior Data Engineer

Permanent contract
Paris
Salary: €65K to 80K
Fully-remote

Inato
Inato

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Questions and answers about the job

The position

Job description

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 1,000 sites across the globe. And we are well poised for growth in 2023.

We are a growing team of passionate pharmaceutical experts, software engineers, professional services members, and many more - all bringing their unique perspective 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 fast-growing data team.

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.

Our stack includes Google BigQuery, Segment, Airbyte, Looker Studio, Husprey, Retool, dbt, 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 Data and Product team to expose data to the product and implement machine learning models into production.
  • Monitor and troubleshoot our data infrastructure to ensure maximum uptime and performance.
  • Work with cross-functional teams to ensure data availability, quality, and consistency across the organization.
  • 💊 Requirements

  • 3+ 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
  • Familiarity with infrastructure tools such as Terraform, and Kubernetes.
  • 💊 Perks

  • 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 (Alan Blue, 100% paid by Inato)
  • Meal vouchers (Swile)
  • Contribution to healthy activities (Gymlib)
  • Free books & learning material
  • Inato is an Equal Opportunity Employer for any minority, disability, gender identity, or sexual orientation.

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