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Data Engineer Team Lead

DialogCenter District, IsraelNot specifiedFull-timeSeniority: Not specified

Posted 6 days ago · 0 applicants

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Willbi insight

The role in plain words

Must-have
  • 3+ years of professional experience as a Data Engineer building data-intensive infrastructure and processing architectures
  • Prior experience or strong capability to lead and mentor engineers within a distributed/hybrid or offshore team structure
  • High-level production mastery of Python
  • High-level production mastery of SQL
  • Proven hands-on experience designing and deploying automated ETL / ELT workflows
Nice-to-have
  • Familiarity or working exposure to BI and data visualization tools (strong preference for Looker)

Extracted from the job description · kept up to date automatically

Who this suits

Full job description

Original listing · kept for reference

A publicly traded, global Consumer Tech company that develops an advanced AI platform leveraging machine learning, computer vision, and predictive analytics to drive highly personalized, direct-to-consumer (D2C) product experiences.

The company utilizes deep technological research to build data-backed, high-scale global brands, combining the stability and compliance of a public enterprise with the fast-paced innovation of a product startup.

Located in the Tel Aviv area with excellent public transit and train accessibility, operating on a hybrid work model (including WFH options).

Position Overview-

• Data Engineering Team Lead / Hands-on Lead managing a distributed squad of 5 engineers (2 based locally, 3 offshore in Ukraine).

• Balancing high-impact, hands-on architecture, pipeline development, and data modeling with team mentorship, code reviews, and task coordination.

• Designing, building, and optimizing scalable ETL/ELT pipelines to ingest, clean, and process massive volumes of unstructured and structured consumer data.

• Architecting cloud-native data layers and infrastructure to support advanced analytics, machine learning workflows, and cross-functional business intelligence.

• Core Domain & Ecosystem- Data Engineering, Distributed Data Pipelines (ETL/ELT), Cloud Infrastructure (AWS), Relational & Non-Relational Big Data Databases, High-Scale SQL & Python, BI Infrastructures (Looker), Distributed Team Management, Agile (Jira).

Requirements-

• 3+ years of professional experience as a Data Engineer building data-intensive infrastructure and processing architectures – Mandatory

• Prior experience or strong capability to lead and mentor engineers within a distributed/hybrid or offshore team structure – Mandatory

• High-level production mastery of Python and SQL for complex data manipulation and pipeline optimization – Mandatory

• Proven hands-on experience designing and deploying automated ETL / ELT workflows – Mandatory

• Solid technical proficiency working within a cloud-native ecosystem, specifically AWS – Mandatory

• Extensive practical background handling large-scale data repositories and complex database environments – Mandatory

• Familiarity or working exposure to BI and data visualization tools (strong preference for Looker) – Advantage

• Experience working within an Agile environment utilizing collaboration tools like Jira – Mandatory

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Dialog
Posted 6 days ago · 0 applicants
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