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idataraya
idataraya

Data engineering.

Designs and operates the pipelines, warehouses, and reporting systems used by clients to make operational decisions. Every retailer, hospitality operator, and distributor in the portfolio depends on the data layer produced by this team.

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Pipeline throughputrecords processed · last 30 days
W1W2W3W4OrdersInventoryPayments
No pipeline incidents
Warehouse · service statusAnalytics workload
System statusOperational
  • Ingestion layer
    Uptime99.99%Operational
  • Transformation modelsall green
    Operational
  • Orchestration
    Uptime100%Operational
  • Reporting surface
    Uptime99.98%Operational
Pipeline health · last 24 hours

Scope of the role.

  • 01

    Design and operate data pipelines that ingest transactional data from point-of-sale systems, supply chain platforms, and payment processors.

  • 02

    Build and maintain the data warehouse: schema design, transformation layers, and automated quality checks.

  • 03

    Produce dashboards and reporting systems for retailers, hospitality operators, and warehouse teams.

  • 04

    Implement real-time synchronisation between distributed outlets and central reporting systems.

  • 05

    Establish monitoring, alerting, and data quality frameworks across the pipeline estate.

  • 06

    Engage directly with clients to translate operational reporting requirements into data models.

Required background.

  • Strong SQL practice, including complex query authoring, query optimisation, and schema design from first principles.

  • Working experience with at least one data orchestration tool such as Apache Airflow, Dagster, or Prefect.

  • Python fluency for data transformation, scripting, and automation tasks.

  • Understanding of dimensional modelling and warehouse design patterns.

  • Practical orientation toward data products rather than pipelines alone: dashboards, alerts, and reports that are actively used.

Technology stack.

PythonSQLdbtApache AirflowPostgreSQLBigQueryMetabaseDockerTerraformGitHub Actions

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Interested?

Send a short introduction with a link to representative work you have shipped. Applications are reviewed directly by the engineering team.

Apply by emailAll teams