Canonical

Junior Data Engineer

Canonical

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇪🇺 Anywhere in Europe

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Job Level

Junior

Tech Stack

ApacheJavaScriptOpen SourcePythonSQLTableau

About the role

  • Utilise advanced data analytics to grow Canonical’s product adoption and market penetration
  • Design and conduct experiments with data, visualisation and insights into Canonical’s target audiences
  • Build a marketing data stack based on open source, and integrate it with our data mesh
  • Collaborate with stakeholder teams (Product Management, Engineering, Information Systems, Finance, RevOps, etc) to improve the data and tool ecosystem
  • Put in place and maintain systems to ensure teams across the company have self-service access to data dashboards
  • Report to the Growth Engineering Manager as part of the Marketing team

Requirements

  • Background in data science, mathematics, actuarial science, or engineering
  • Up to 1 year of experience in data analytics
  • Knowledge in advanced statistics, data sciences, coding/scripting languages (Python, JS, etc), and databases (SQL, etc)
  • Strength in data visualisation tools (Looker Studio, Tableau, Apache Superset, etc)
  • Ability to translate business questions to key research objectives
  • Ability to identify the best methodology to execute research, synthesise and analyse findings
  • Excellent writing and communication skills
  • Willingness to examine the status quo and resilient in the face of challenges
Benefits
  • Fully remote working environment - we’ve been working remotely since 2004!
  • Personal learning and development budget of 2,000 USD per annum
  • Annual compensation review
  • Recognition rewards
  • Annual holiday leave
  • Parental Leave
  • Employee Assistance Programme
  • Opportunity to travel to new locations to meet colleagues at ‘sprints’
  • Priority Pass for travel and travel upgrades for long haul company events
  • Additional benefits may apply depending on work location

ATS Keywords

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

Hard skills
data analyticsdata sciencemathematicsactuarial scienceengineeringadvanced statisticsPythonJavaScriptSQLdata visualisation
Soft skills
communication skillswriting skillscollaborationproblem-solvingresilienceanalytical thinkingresearch synthesismethodology identificationbusiness translationself-service access
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