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INTERNATIONAL RESCUE COMMITTEE

Data Engineer

INTERNATIONAL RESCUE COMMITTEE

Data Engineer supporting implementation, configuration, and maintenance of data pipelines for IRC. Collaborating on ELT processes and cloud-based data platforms for global data strategies.

Posted 5/8/2026full-timeRemote • 🇰🇪 KenyaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AzureCloudPythonSQL

About the role

Key responsibilities & impact
  • Support the implementation, configuration, and maintenance of data pipelines and transformation workflows.
  • Build and maintain ELT data pipelines using Databricks Workflows and Azure Data Factory.
  • Support the ingestion of data from key systems into Lakehouse.
  • Monitor pipeline execution, identify failures, and troubleshoot issues.
  • Develop and maintain dbt models across staging, intermediate, and mart layers.
  • Apply SQL techniques including joins, CTEs, window functions, and aggregations to support reporting and analytics needs.
  • Develop and maintain Databricks notebooks and jobs for data transformation workloads.

Requirements

What you’ll need
  • 3–6 years of hands-on experience in data engineering, analytics engineering, or a related technical role.
  • Demonstrated experience building or maintaining data pipelines in a professional setting.
  • Exposure to cloud-based data platforms, preferably Azure (Databricks, Data Factory, or Synapse).
  • Working knowledge of dbt model development including staging and mart layers.
  • Familiarity with dbt tests, documentation, and source configurations.
  • Eagerness to deepen dbt skills including incremental models and CI/CD integration.
  • Hands-on experience with Databricks notebooks and basic job/workflow setup.
  • Familiarity with Delta Lake concepts and Databricks SQL.
  • Solid SQL skills: joins, CTEs, window functions, aggregations, and basic performance awareness.
  • Basic to intermediate Python skills for data processing, scripting, and automation.
  • Understanding of star/snowflake schemas and fact & dimension table concepts.

Benefits

Comp & perks
  • Comprehensive safety and security initiatives
  • Continuous learning and development programs

ATS Keywords

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Hard Skills & Tools
data engineeringanalytics engineeringdata pipelinesELTdbtSQLPythonDelta LakeDatabricks SQLCI/CD