Remote Data Engineer (Python, ELK) - Remote in Romania

Posted

This job is closed

This job post is closed and the position is probably filled. Please do not apply.  Automatically closed by a robot after apply link was detected as broken.

Description:

  • The Data Engineer position at Eurofins Scientific involves working in the IT Application Monitoring and Observability team, which supports over 62,000 employees globally.
  • Responsibilities include taking ownership of complex tasks, guiding and leading engineering tasks, contributing to Architectural Decision Records (ADRs), and consulting with the Security department.
  • The role also involves handling feasibility studies, proof of concepts, and reporting directly to the Program Leader.
  • The technological stack includes Elastic Stack, MS SQL Server, Octopus, Grafana, and programming languages like Python, C#.NET, and Ruby.
  • The position requires experience in building and operating cloud infrastructure on Azure, using IaC with Terraform, and working with NO-SQL databases like Elasticsearch with LogStash.
  • Skills in DevOps principles, containerized applications using Docker and Kubernetes, GitOps, CI/CD, and data visualization techniques are essential.
  • Additional qualifications include experience in designing and maintaining data pipelines, understanding Azure services, and familiarity with auto-scaling concepts.

Requirements:

  • Experience in building and operating cloud infrastructure and applications on Azure using IaC with Terraform.
  • Skills in applying DevOps principles, deploying, monitoring, and operating containerized applications using Docker, Kubernetes, GitOps, and CI/CD.
  • Experience in working with NO-SQL database (Elasticsearch with LogStash is a must).
  • Knowledge in securing IT environments (SSL, certificate management, security concepts like encryptions, hashing etc.).
  • Development skills (scripting level in bash, basic Python is nice to have).
  • Familiarity with any modeling languages (ex. C4, UML, ArchiMate).
  • Data visualization and data storytelling techniques.
  • Experience in design and maintaining data pipelines for data analytics.
  • Mathematical (statistical) background is an advantage.
  • Understanding of Azure services (Virtual Machines, Active Directory, Firewall, Application Gateway, Log Analytics).
  • Understanding of auto-scaling concepts.
  • Familiarity with Azure Data Services.

Benefits:

  • Additional variable annual compensation up to 1 monthly net salary.
  • Meal tickets.
  • Reimbursement of gym membership.
  • Medical and life insurance.
  • 25 days of annual leave + 1 day off on your birthday.
  • Additional days off for company loyalty.
  • Remote work activity.
About the job
Posted on
Job type
Salary
-
Leave a feedback