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Data Engineering Team Lead (Agentic Search)

1 month, 1 week ago
Israel
Full-time
Senior
Data Architect
Data Science and Analytics
Apache Airflow Apache Spark AWS dbt GCP Kafka MapReduce Python Snowflake SQL
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Nebius

Nebius

Nebius enables B2B companies to build local hyperscaling cloud platforms with cost-effective GPUs, InfiniBand network, and 50% less compute cost. They offer managed Kubernetes and a launch-ready business model for innovative cloud solutions.

Internet Software & Services
51-250
View All Jobs 173

Description

  • Lead and architect the data platform from real-time ingestion through warehouse medallion layers to consumer-facing datasets and dashboards.
  • Lead, hire, mentor, and grow a team of data engineers while setting standards for code quality, testing, documentation, and on-call practices.
  • Work closely with engineers across the company to ensure batch and streaming pipelines are built correctly.
  • Define and implement observability for the data platform, including data quality checks, freshness monitoring, lineage, schema evolution, and cost controls.
  • Partner with researchers, engineers, analysts, finance, and product managers to deliver trustworthy datasets for product and go-to-market analytics.
  • Define the objects, entities, and relationships that model the search domain and turn that understanding into a clean, queryable data model.
  • Ensure high standards of data quality, integrity, and security across all environments.
  • Stay hands-on by designing and reviewing the systems your team ships.
  • Own the end-to-end data lifecycle, including ingestion from production services and support for the data warehouse architecture.

Requirements

  • 5+ years of data engineering experience, with a focus on scalable, analytics-ready data models and cloud data warehouses such as BigQuery or Snowflake.
  • Hands-on experience with Snowflake or a comparable cloud data warehouse, preferably with medallion schema architecture.
  • Deep knowledge of databases, including schema design and query optimization, with familiarity with NoSQL use cases.
  • Experience with modern data orchestration and transformation frameworks such as Airflow and DBT.
  • Solid understanding of cloud data services such as AWS or GCP and streaming platforms such as Kafka or Pub/Sub.
  • Hands-on experience with the Spark / MapReduce paradigm and judgment on when distributed processing is appropriate.
  • Fluency in Python and SQL for production data work.
  • Experience operating data systems in production, including debugging under pressure, recovering from data incidents, and backfilling corrupted tables.
  • Experience leading, hiring, or mentoring engineers is implied by the team lead role.
  • Authorization to work in the country where the candidate applies and ability to provide proof of employment eligibility.
  • Experience with data governance, quality, and security practices is preferred.

Benefits

  • Competitive compensation.
  • Career growth and learning opportunities.
  • Flexibility and work-life balance.
  • Collaborative and innovative culture.
  • Opportunity to work on impactful AI projects.
  • International environment with talented teams.

Interested in this position?

Apply directly on the company website

Apply Now

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