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Senior Data Engineer

Bokra Holding Kafr Kanna, North District, Israel

Yesterday
Remote data-engineer Senior (5-10 yrs) Full-time Israel
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About the role

You will own the end-to-end data ingestion processes, including designing and operating workflow orchestration and data-quality controls. Additionally, you will implement data-protection measures and provide technical mentorship to the analytics and engineering teams.

What they look for

Python SQL Data Engineering Airflow Dagster Data Warehousing Redshift BigQuery Snowflake Airbyte Fivetran Debezium Data Quality Security Fundamentals Terraform AWS

Requirements

The role requires 5+ years of experience in data engineering with strong proficiency in Python, SQL, and cloud data warehouse platforms. Candidates must have production experience with orchestrators and a solid understanding of data security, ingestion tooling, and infrastructure as code.

Full description

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.

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