Owkin

Data Engineer

Owkin

full-time

Posted on:

Location Type: Remote

Location: United Kingdom

Visit company website

Explore more

✨ AI Apply
Apply

Tech Stack

AirflowAWSDockerETLGrafanaKubernetesPostgresPythonSQL

About the role

  • Organize and structure data systems at both macro and micro levels, designing and implementing data architectures that support business goals
  • Optimize data pipelines for performance, reliability, and scalability
  • Design, build, and maintain scalable ETL/ELT pipelines with Airflow to process large-scale, complex datasets
  • Demonstrate ability to delivery of data products useful for machine learning and AI research and development (data models, metadata and semantics)
  • Strong organizational skills to effectively manage high-volume, complex workstreams while prioritizing multiple deadlines
  • Demonstrate knowledge of scientific and healthcare information systems and data sources and relevant software tools
  • Demonstrate ability to handle a variety of activities across operational delivery and development and initiatives
  • Demonstrate professional interpersonal skills with ability to work both independently and collaboratively with a variety of stakeholders on complex biotechnology areas.
  • Streamline the process of taking scientific processing and quality check in production, ensuring proper monitoring of the production workflows.

Requirements

  • Master degree in computer sciences or specialization in Data
  • Significant experience (5+ years) as a Data Engineer and have good knowledge of DataOps practices.
  • Experience in Python and SQL and you have familiarity with R
  • Experience in architectural design of complex data platforms
  • Proficient in the technologies like Airflow, AWS steps functions, PostgreSQL, Docker, Kubernetes, Grafana, Infrastructure as Code
  • Autonomous, meticulous, and enjoy teamwork
  • Software development with a focus on code quality, simplicity, maintainability
  • Experience in designing data architecture and building data products
  • Experience handling sensitive personal information
  • Fluent in English.
Benefits
  • Flexible work organization
  • Friendly and informal working environment
  • Opportunity to work with an international team with high technical and scientific backgrounds
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data architectureETLELTdata modelingPythonSQLRDataOpscode qualitydata products
Soft Skills
organizational skillsinterpersonal skillsteamworkautonomousmeticulousprioritizationcollaborationindependencecomplex problem solvingcommunication
Certifications
Master's degree in computer sciencespecialization in Data