Location: Givatayim, Israel Experience: 5+ Years Work model: Hybrid
We AreAt Similarweb, we’re revolutionizing how businesses understand the digital world by showing them everything that happens online. Our unique data and solutions empower over 13,000 customers worldwide -including Google, eBay, and Adidas - to make game-changing decisions that drive their digital strategies. We went public on the New York Stock Exchange in 2021, and we’re still reaching new heights! Come join Similarwebbers across the globe who are bright, curious, practical, and genuinely good people.
We Are Looking ForWe are looking for an experienced talented BI Engineer to join our Data team in Givatayim. You will take end-to-end ownership of our data modeling, serving as the architect of the "Source of Truth" that powers our company's most critical strategic decisions. This is a hands-on engineering role: you will ship production code (SQL, dbt, Python) through a Git-based CI/CD workflow, use AI coding tools to move faster, build and implement AI based solutionsto turn the data into a critical part of decision making.
What You’ll Do- Define the Source of Truth: Take raw, complex data and transform it into clean, well-structured tables that Product Analysts and Business Leads can use for high-stakes decision-making. You know how to build a table that is intuitive and easy for other analysts to query.
- Translate Strategy into Logic: Work with Product, Marketing, GTM analysts to turn abstract concepts into precise SQL definitions and automated datasets.
- Maintain Data Integrity: Act as the guardian of our metrics. You will ensure that the numbers used across our product and business reports are consistent, reliable, and logical.
- Enable High-Tech Initiatives: Partner with our AI and Data Service specialists to ensure they have the structured data foundations they need to build models and external data products.
- Build Scalable Models: Design, build, and maintain production-grade data models using dbt, ensuring code is modular, tested, and documented.
Engineer with CI/CD Discipline: Treat analytics code like software. Work through pull requests, automated tests and deployments (GitHub/GitLab), code reviews, and version-controlled environments, so every change to the Source of Truth is tested before it ships.Build with AI: Use AI coding assistants (Cursor, Claude Code) in your daily workflow to speed up modeling, testing, documentation, and code review, and help the team define how we use them responsibly.Make Data AI-Ready: Build well-documented models with clear definitions and a consistent metrics layer, so analysts, AI agents, and data products can rely on the same trusted data.
- Take part in building Agentic solutions to support 24X7 solutions
- Experience of 5+ years of prior experience in a relevant analytics/technical role (Analytics Engineer, BI Engineer, BI Developer or Data Engineer).
- SQL Mastery: Expert-level SQL skills. You can write complex queries, optimize performance, and debug legacy code with ease.
- dbt Expertise: Proven hands-on experience with dbt. You are comfortable with Jinja templating, incremental models, and package management.
- Data Modeling: Experience with ETL processes and strong understanding of data warehousing concepts (Amazon Redshift/ Snowflake) and modeling methodologies .
- Product & Business Acumen: You understand SaaS metrics (ARR, funnels, activation, etc.) and how data logic impacts product growth and strategy.
CI/CD & Git Workflows: Hands-on experience with Git and CI processes for data projects: pull-request reviews, automated tests on every change, and automated deployments of dbt projects.AI-Assisted Development: Practical, day-to-day experience using AI coding tools (Cursor, Claude Code) to build faster, and the judgment to review and validate AI-generated code before it ships.
- Python : Experience with Python for data orchestration or custom transformationsAdvantages:
Orchestration: Experience with an orchestration tool (such as Airflow / Dagster / Prefect) for scheduling and monitoring data workflows.Data Quality & Observability: Experience with automated data tests, data contracts, monitoring, and alerting that keep stakeholders’ trust in the numbers.Data for AI: Experience building data foundations for LLMs or AI agents, such as semantic/metrics layers, text-to-SQL, or MCP-based data access.Performance & Cost: Experience tuning queries, models, and warehouse usage to keep the analytical data warehouse fast and cost-efficient.
Our Stack:Redshift, dbt, Databricks ,Airflow, GitLab,Cursor - any experience with similar tools is relevant.
Why Join Us?- Impact: You are the architect of the data that drives our engines. Your work literally powers the team's ability to innovate.
- Growth: You will work on the cutting edge of the data stack, gaining exposure to AI implementation and high-scale data logic.
- Collaboration: Our best work comes from face-to-face teamwork in the office, with flexibility to work part-time from home.
- Culture: We’re inclusive, innovative, and supportive. We foster open dialogue and encourage big ideas.
- Perks: Competitive compensation, strong emphasis on well-being, comprehensive equity packages, and plenty of opportunities for team bonding.
We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here.
Skills Required
- 5+ years of experience in a relevant analytics or technical role, such as Analytics Engineer, BI Engineer, BI Developer, or Data Engineer
- Expert-level SQL skills, including complex queries, performance optimization, and debugging legacy code
- Hands-on dbt experience, including Jinja templating, incremental models, and package management
- Experience with ETL processes, data warehousing, and data modeling methodologies
- Experience with Amazon Redshift or Snowflake
- Understanding of SaaS metrics, including ARR, funnels, and activation
- Hands-on experience with Git and CI workflows for data projects, including pull requests, automated tests, and deployments
- Practical experience using AI coding tools such as Cursor or Claude Code
- Experience with Python for data orchestration or custom transformations
- Experience with an orchestration tool such as Airflow, Dagster, or Prefect
- Experience with automated data tests, data contracts, monitoring, and alerting
- Experience building data foundations for LLMs or AI agents, including semantic layers, text-to-SQL, or MCP-based data access
- Experience tuning queries, data models, and warehouse usage for performance and cost efficiency
SimilarWeb Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about SimilarWeb and has not been reviewed or approved by SimilarWeb.
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Healthcare Strength — Medical, dental, and vision insurance are listed across U.S. postings, and wellness initiatives such as gym membership are highlighted. This indicates a solid core health offering that is characterized as competitive for a mid‑size tech company.
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Retirement Support — A 401(k) plan is included, with materials noting a company match that vests immediately for U.S. employees. This retirement backbone is consistently referenced in job postings.
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Leave & Time Off Breadth — Company profiles and postings cite generous PTO, paid holidays and sick time, and paid parental leave. Employer‑verified U.S. PTO details also mention PTO plus floating holidays.
SimilarWeb Insights
What We Do
Digital is now the most important driver of growth and profitability for just about every business. Similarweb is a platform that gives our customers a true 360 degree view of all digital activity across customers, prospects, partners, and competition. The resulting insights give our customers — who are some of the world’s biggest brands — a digital edge that helps them beat their competition and win their markets.
