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Data Engineering Team Lead (Agentic Search)

5 hours, 32 minutes ago
Israel
Full-time
Senior
Data Architect
Data Science and Analytics
Apache Airflow Apache Spark AWS dbt GCP Kafka MapReduce Python Snowflake SQL
Apply Now
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 189

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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