דרושים » תוכנה » דרוש /ה Senior data Engineer להצטרפות לצוות data & Observability בארגון טכנולוגי גדול ומוביל.

We are seeking for a data Engineer We are looking for a skilled data Engineer. This role requires 5+ years of experience in data solutions development A full time position, based in Petah Tikva
Key Responsibilities:
Development of data -driven technological solutions based on business needs.
* Experience with ETL tools, data infrastructure, integration processes, and data cleansing.
* Collaboration with analysts, product managers, and business stakeholders.
* Research and implementation of new technologies to improve existing processes.
* Analysis of business requirements and translating them into technological models.

In this role, you wont just analyze data, youll lead the data vision for your area, define the right KPIs, guide the PM on what to build (and what not to), and become the data authority behind every feature decision.

Youll collaborate with Product, R&D, and Business stakeholders to deliver meaningful product insights, lead A/B testing, and help prioritize roadmap initiatives based on measurable impact. Youll be the gatekeeper of product data quality, ensuring everything we build is guided by the right tracking, the right questions, and the right results.

What you'll be doing:
Own the data strategy for a product domain, driving KPIs, tracking, and insight delivery.
Partner with Product Managers to prioritize features, set success metrics, and make informed roadmap decisions.

Define BI events and collaborate with developers to ensure accurate and scalable tracking.
Build, maintain, and enhance BigQuery tables using dbt, SQL, and data transformation tools.
Design and evaluate A/B tests and product experiments.
Create clear dashboards and visualizations to support teams and leadership.
Proactively uncover insights to improve feature adoption and product performance.

Were looking for an experienced Data Engineer to join our DataWarehouse team in TLV.

In this role, you will play a pivotal role in the Data Platform organization, leading the design, development, and maintenance of our data warehouse. In your day-to-day, youll work on data models and Backend BI solutions that empower stakeholders across the company and contribute to informed decision-making processes all while leveraging your extensive experience in business intelligence.

This is an excellent opportunity to be part of establishing Lemonades state-of-the-art data stack, implementing cutting-edge technologies in a cloud environment.

In this role youll:

Lead the design and development of scalable and efficient data warehouse and BI solutions that align with organizational goals and requirements.

Utilize advanced data modeling techniques to create robust data structures supporting reporting and analytics needs.

Implement ETL/ELT processes to assist in the extraction, transformation, and loading of data from various sources into the semantic layer.

Develop processes to enforce schema evaluation, cover anomaly detection, and monitor data completeness and freshness.

Identify and address performance bottlenecks within our data warehouse, optimize queries and processes, and enhance data retrieval efficiency.

Implement best practices for data warehouse and database performance tuning.

Conduct thorough testing of data applications and implement robust validation processes.

Collaborate with Data Infra Engineers, Developers, ML Platform Engineers, Data Scientists, Analysts, and Product Managers.

Required Analytics Engineer
Tel Aviv
Want to shape how data drives product decisions?
As an Analytics Engineer, youll design the foundations of our data infrastructure, build robust and scalable data models, and empower teams across the organization with actionable insights that fuel our product direction.
As an Analytics Engineer, you will:
Design and implement robust data models to transform raw data into analytics-ready tables, enabling confident decision-making across product and business teams.
Own and maintain our dbt pipelines with a focus on scalability, modularity, and clear documentation.
Continuously evolve our data models to reflect changing business logic and product needs.
Build and maintain comprehensive testing infrastructure to ensure data accuracy and trust.
Monitor the health of our data pipelines, ensuring integrity in event streams and leading resolution of data issues.
Collaborate closely with analysts, data engineers, and product managers to align data architecture with business goals.
Guide the analytics code development process using Git and engineering best practices.
Create dashboards and reports in Tableau that turn insights into action.
Drive performance and cost optimization across our data stack, proactively improving scalability and reliability.

Were looking for a hands-on Individual Contributor Data Engineer to design, build, and operate large-scale data products. Youll own mission-critical pipelines and services, balancing pre-computation with on-demand execution to deliver complex, business-critical insights with the right cost, latency, and reliability.
RESPONSIBILITIES:
Design and run Spark data pipelines, orchestrated with Airflow, governed with Unity Catalog.
Build scalable batch and on-demand data products, aiming for the sweet spot between pre-compute and on-demand for complex logic - owning SLAs/SLOs, cost, and performance.
Implement robust data quality, lineage, and observability across pipelines.
Contribute to the architecture and scaling of our Export Center for off-platform report generation and delivery.
Partner with Product, Analytics, and Backend to turn requirements into resilient data systems.