IDinsight

Data Engineer I/II

IDinsight

full-time

Posted on:

Location Type: Hybrid

Location: Nairobi • Kenya

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Job Level

Junior

Tech Stack

AWSCloudFlaskGoogle Cloud PlatformPythonSQL

About the role

  • Work closely with data scientists, domain experts, and partners to translate our partners’ real-world challenges into impactful software
  • Understand clients' current processes and pain points, and identify which can be addressed through automating and streamlining data flows
  • Design, build, and maintain optimal data pipeline architecture
  • Design, build, and maintain data warehouses and data lakes
  • Synthesize, visualize, and communicate results: dashboards, plots, interactive viz, presentations, and reports to provide actionable data insights to decision-makers
  • Make thoughtful decisions about application architecture, data flows, integrations, and user-facing behavior to support scalable, production-grade solutions
  • Review code, plan releases, and deliver features end-to-end
  • Write blog posts or present lessons learned
  • Support teammates through formal and informal coaching and collaboration that enables continuous learning and improvement for the team

Requirements

  • Experience of at least 1+ year in data engineering
  • Proficiency in Python and SQL for building production systems
  • Proficiency building ELT pipelines in a production setting
  • Proficiency with data modelling techniques
  • Proficiency working with OLTP and OLAP data stores
  • Proficiency in Flask/FastAPI or similar backend frameworks
  • Experience working with a cloud hosting platform like AWS or GCP
  • Sound foundations in statistics and probability
  • Clear written and verbal communication skills for collaborating with technical and non-technical stakeholders
  • Strong oral and written communication skills in English
  • Fluency in languages spoken in countries where IDinsight works is a plus.
Benefits
  • Professional development
  • Flexible work arrangements

Applicant Tracking System Keywords

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

Hard skills
PythonSQLELT pipelinesdata modelling techniquesOLTP data storesOLAP data storesFlaskFastAPIstatisticsprobability
Soft skills
clear communicationcollaborationcoachingcontinuous learningpresentation skills