Full-Cycle Data Engineer

april april

Full-Cycle Data Engineer working in a hybrid model at april. Responsible for designing scalable data pipelines and delivering insights from product data.

Posted 5/14/2026full-timeTel Aviv • 🇮🇱 IsraelMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AirflowBigQueryCloudPythonSQL

About the role

Key responsibilities & impact

Design, build, and deploy scalable data pipelines from product and system sources in production, using Python and orchestrators like Airflow.
Work with distributed query engines such as BigQuery or Athena, with strong SQL throughout.
Build and maintain semantic data models for large-scale operational systems and data lakes.
Improve the end-to-end analytics stack, from ingestion to visualization, and collaborate with engineering on event tracking and instrumentation.
Ensure data quality, consistency, and reliability across the stack.
Build and maintain dashboards and reporting layers in tools like Looker or Metabase, optimized for performance, usability, and clarity.
Create self-serve analytics so product and business stakeholders can answer their own questions.
Support product experimentation: A/B testing, funnel analysis, feature adoption.
Translate ambiguous questions from product leads, the CEO, the CFO, and others into clear metrics, KPIs, and analytical models.
Surface trends in usage and user behavior that influence the product roadmap and feature prioritization.
Provide ad-hoc analysis and strategic reporting for leadership.

Requirements

What you’ll need

5+ years in data engineering, data analytics, or product analytics.
Strong SQL and hands-on experience with large-scale datasets in cloud data warehouses (BigQuery or similar).
Production Python experience for data pipelines.
Solid grounding in product metrics, funnels, and user behavior analysis.
Ability to turn business questions into data models, metrics, and dashboards.
Strong communication and cross-functional collaboration skills.

Benefits

Comp & perks

Health insurance for employees
401(k) retirement plan
Paid time off and holidays
Flexible work arrangements
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonSQLdata pipelinesdata modelingA/B testingfunnel analysisdata qualitydata visualizationanalytics stackevent tracking

Soft Skills

communicationcollaborationproblem-solvinganalytical thinkingstrategic reporting