Senior Data Engineer

ABOUT THE ROLE

You will build and run the platform Bokra’s data team stands on: reliable pipelines from our app, payment, marketing and CRM systems into the warehouse, orchestrated, tested, secured and observable.

KEY RESPONSIBILITIES

• Own data ingestion from production databases and third-party platforms (mobile attribution, customer engagement, CRM and payment gateways) into the data warehouse.
• Design, implement and operate workflow orchestration (e.g. Airflow, Dagster or dbt with a scheduler), including monitoring, alerting and recovery.
• Establish data-quality controls and reconciliations covering completeness, freshness and source-to-warehouse totals, including reconciliation with external custodians.
• Build pipelines to process application and engagement event data, including semi-structured JSON, into analysis-ready structures.
• Implement data-protection controls in partnership with Compliance, including masking and tokenisation of personal identifiers, role- and row-level access, and secrets management.
• Optimise warehouse performance and cost, including separation of ingestion, transformation and reporting workloads.
• Administer the BI platform as usage scales to 20-30 users, covering access governance, performance, caching and licence management.
• Plan and lead platform migrations in line with the evolving data-warehouse strategy.
• Define data contracts with backend Engineering for source-system data and event tracking.
• Provide technical mentorship to analytics engineering and engineering staff supporting the data platform.

REQUIREMENTS

• 5+ years in data engineering, with at least one platform you designed or substantially rebuilt.
• Strong Python and SQL; production experience with an orchestrator (Airflow, Dagster, Prefect or similar).
• Cloud data warehouse experience (Redshift, BigQuery or Snowflake), including performance tuning and cost control.
• Ingestion tooling (Airbyte, Fivetran, Debezium or custom CDC) and working with third-party APIs and file exports.
• Data-quality testing and monitoring in production.
• Security fundamentals: IAM, secrets management, masking, access control.
• Arabic and English for working with business and compliance teams.

Additional Qualifications

• AWS (Redshift, S3, Glue, IAM) and infrastructure as code (Terraform).
• Financial data: payment gateway callbacks, ledgers, balances, custodian files.
• Streaming or near-real-time event processing.
• Experience under a financial regulator’s data and outsourcing rules.