לוח משרות דרושים מהנדס/ת דאטה/DATA ENGINEER בתל אביב יפו, לחיפוש זה נמצאו 62 משרות

Requirements:
6+ years of experience in Data Engineering / BI roles, including 3+ years leading and managing a data or BI team
Proven experience owning scalable, end-to-end data ecosystems, including team roadmaps, architecture decisions, and cross-functional delivery
Deep experience with modern data stacks (Databricks and/or Snowflake) and modern transformation frameworks
Advanced SQL and Python skills, including data quality, CI/CD, and observability
Strong understanding of dimensional modeling, data warehousing, and semantic layers
Proven experience using GenAI tools and AI-assisted development (e.g., Claude Code) as part of your day-to-day development workflow
A strong builder mindset, business orientation, and ability to lead cross-functional initiatives

Requirements:
5+ years of experience in BI / Data Engineering roles with ownership of scalable data platforms
Deep experience with modern data stacks (Snowflake or Databricks, dbt)
Advanced SQL and Python skills, including data quality, CI/CD, and observability
Strong understanding of dimensional modeling, data warehousing, and semantic layers
Experience with orchestration tools (Airflow) and large-scale data processing
Proven experience using GenAI tools as part of your day-to-day development workflow
A strong builder mindset, business orientation, and ability to lead cross-functional initiatives
Nice to have:
Experience with streaming technologies (Kafka, Spark)

Requirements:
5+ years hands-on building and operating large scale data pipelines, batch and streaming, in production
Deep Spark and Databricks experience: Delta Lake, Unity Catalog, job and cluster tuning, Structured Streaming or DLT
Streaming and CDC experience: Kafka (Confluent a plus), Debezium or equivalent, schema evolution and its failure modes
Experience writing Airflow DAGs and operating the platform itself
Expert Python and SQL, clean, tested, performant
Strong data modeling and architecture judgment, with the ability to explain tradeoffs in scale, performance, and cost
Infra literacy: comfortable with AWS (S3, IAM, networking basics), Terraform, Docker and Kubernetes, and CI/CD
Proven experience leading cross-team technical initiatives end to end, from ambiguous ask to shipped and adopted
Proven experience using AI coding tools daily, with LLM and agent tooling (MCP, embeddings, vector search) built into real workflows

Requirements:
Required Qualifications
4+ years experience as a Senior Data Engineer / Data engineer lead (Hands-On) / Data architect - working with Cloud environments
Experience in leading and implementing end to end complex Data pipelines and data platforms
Experience with collecting , analyzing and syncing complex data requirements from various data users such as: Data Analysts , Developers , Researchers and Managers
4+ years Experience with Data Modeling using various Data platforms and databases
4+ years Python experience - focused on Data related areas and distributed processing (Experience with at least one of the following:
Spark, GCP DataFlow (Apache Beam), GKE , etc)
Experience with Docker & Kubernetes / GKE
4+ Years experience with Cloud MPP Databases / Data Lakes such as: BigQuery , Redshift , Snowflake , Azure SQL DWH , Azure Kusto
Fluent with SQL
AI:
Using AI as part of the development cycle is second nature for you.
Experience generating code via Prompts and closing the loop by reviewing and testing
Experience writing MCPs , Skills and mds
Soft skills:
Collaborative Mindset: A team-first leader who believes that the best data products are built through collective genius and open communication.
Bridge Builder: Naturally connects the dots between diverse teams-from DevOps to Data Science-to break down silos and streamline data delivery.
Growth-Minded: Approaches feedback as a tool for evolution; possesses the grit to pivot and find the "silver lining" in complex technical setbacks.
Execution Passionate: Genuinely loves the "how" as much as the "what," finding joy in the pursuit of clean code and the deployment of mission-critical pipelines.
Preferred Qualifications:
GCP experience
Data science background
Cyber security knowledge.