Senior Data Engineer

1 week ago

Tel Aviv, Tel Aviv, Israel IBI Investment House Full time ₪120,000 - ₪180,000 per year

About the Role

We are seeking a Senior Data Engineer to join our dynamic multi-entity enterprise and take ownership of our data transformation journey. You'll have an exceptional opportunity to shape and build our modern data ecosystem across 30+ companies.

You'll be joining at a pivotal moment as we migrate to a cloud-first data infrastructure and establish our enterprise data warehouse. This role offers incredible autonomy, high visibility, and the chance to make a lasting impact on our organization's data future.

What Makes This Role Exciting:

  • Massive scale
  • Work with data across 30+ companies and diverse business domains.
  • Modern tech stack
  • Build with cutting-edge tools including dbt, Airflow, Redshift, and AWS.
  • High impact
  • Your work will directly enable data-driven decisions across the entire organization.
  • Technical ownership
  • Lead data engineering initiatives in an established enterprise.

What You'll Do:

  • Participate in and optimize our migration to AWS cloud infrastructure and modern data warehouse.
  • Design and implement robust, scalable ETL/ELT pipelines using dbt, Airflow, and custom solutions.
  • Deploy, manage, and optimize enterprise data warehouse and data lake solutions (Redshift, BigQuery).
  • Integrate and consolidate diverse data sources from CRMs, databases, APIs, and systems across 30+ companies into a single source of truth.
  • Design data models, schemas, and governance standards across business domains.
  • Build and maintain secure, high-performance data processing systems with quality frameworks and monitoring.
  • Develop modern BI environments and partner with business leaders to translate requirements into dashboards and analytical datasets.
  • Ensure data governance, security, access control, and documentation best practices across the enterprise.

What We're Looking For:

  • 5+ years of data engineering experience.
  • Expert SQL skills and deep experience with data modeling and database design (SQL and NoSQL).
  • Cloud experience with AWS, GCP, or Azure (AWS strongly preferred).
  • Modern data stack expertise - hands-on experience with dbt, Airflow, and custom pipeline development.
  • Data warehouse technologies - production experience with BigQuery, Redshift, or similar platforms.
  • Python proficiency for data engineering tasks and automation.
  • Strong understanding of data governance, security, and compliance frameworks.
  • Excellent communication skills with ability to collaborate across technical and business teams.

Nice to Have:

  • Experience building company-wide BI strategies or Centers of Excellence.
  • Exposure to real-time or streaming data solutions (Kafka, Kinesis).
  • Experience with enterprise software integrations (Salesforce, etc).
  • Experience with data infrastructure transformations and migrations.

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