Data Engineer Bigbrain jobs at Monday in Israel, Tel Aviv-yafo

• Conduct deep-dive analysis to surface actionable business insights that drive product improvements, operational efficiency, and strategic decision-making.
• Design and develop insightful dashboards and data products that empower stakeholders across the company.
• Define key business metrics and ensure data accuracy and consistency across reporting layers.
• Collaborate closely with Product Managers, Developers, Analysts, and Executives to collect requirements, deliver solutions, and translate business questions into data-driven answers.
• Initiate and lead your own analytical projects—proactively identifying opportunities to optimize our product, workflows and customer experience through data.
• Present findings in a clear, compelling, and accessible way , tailored to both technical and non-technical stakeholders.
• Help foster a data-driven culture by building strong working relationships and championing the use of data in decision-making.

• Highly proficient in SQL – you can independently query large and complex datasets.
• 3+ years of experience as a Data Analyst or in a similar analytical role.
• Experience with data visualization tools (preference for Tableau)
• Strong analytical thinking and business understanding – you understand the “WHY” behind the numbers and the impact on the business.
• A great communicator and storyteller – you can translate complex data into simple, meaningful insights.
• Highly independent – curious, creative, and proactive. You don’t wait for direction; you seek out opportunity.
• A team player with strong interpersonal skills – you're able to build trusted relationships and work cross-functionally with diverse stakeholders.
• Fluent in English (spoken and written).

Bonus Points

• Experience working in fast-paced tech environments or product analytics.
• Experience with experimentation frameworks (e.g., A/B testing).

• Lead the design, architecture, and maintenance of Kubernetes clusters across multiple environments.
• Collaborate closely with engineering teams to optimize infrastructure as code using Terraform and Helm, Crossplane.
• Develop strategies for production growth, including multi-region setups, efficient networking layers, high availability active-active configurations, and Ccells architecture.
• Ensure high availability and performance of micro-services through proactive and automation engineering efforts.
• Work to integrate new infrastructure services and implement disaster recovery plans.

Kubernetes,ArgoCD -Gitops, Terraform, Helm, AWS, node.js, CDKTF, Crossplane

• Proven experience with Kubernetes cluster management and scaling.
• Experience in developing and maintaining infrastructure systems in large scale.
• Strong background in infrastructure as code (IaC) using Terraform (Crossplane Advantage).
• Experience with multi-region and high availability architectures.
• Knowledge of micro-services architecture and deployment practices.
• Strong communication skills and ability to work collaboratively in a fast-paced environment.

You’ll act as ato Customer Success and Customer Experience leadership. You will own the end-to-end analysis, from building dashboards, writing SQL queries, to shaping strategy and uncovering actionable insights that elevate how we build relationships with our customers.

What You’ll Do

• Partner closely with business and cross-functional teams to understand business problems and proactively surface insights that influence strategy and execution.
• Lead end-to-end analysis projects, from framing key questions and forming hypotheses to analyzing the data and presenting compelling recommendations.
• Facilitate ongoing business reviews and presentations by translating complex data into simple, compelling stories.
• Develop metrics, dashboards, and deep‑dive analyses on NDR, GDR, churn, adoption, and product usage to surface growth opportunities and risk signals.
• Support operational improvements and new initiatives with relevant data analysis and strategic input.
• Collaborate with BI developers and data engineers to improve data accessibility and structure.

• 5+ years of experience as a Data Analyst / Business Analyst / Customer Success Analyst in a SaaS company, with experience working closely with customer interface teams.
• Strong SQL skill is a must.
• Proven experience designing data models and building self‑serve dashboards in Looker, Tableau, Power BI or comparable BI tools is a must.
• Proven experience turning data into clear business recommendations that drove measurable results.
• Excellent data storytelling and visualization skills— Effectively communicate data trends and insights to both technical and non-technical stakeholders.
• Collaborate effectively with stakeholders across various teams and levels to align on goals and drive decisions.
• Fluent in English & comfortable communicating with stakeholders around the globe.
• Familiarity with customer‑centric platforms and CRM systems (e.g., Salesforce, Zendesk), as well as key CS and CX metrics (e.g., CSAT, and Retention), is an advantage.
• Experience supporting client-facing departments or business operations teams - an advantage.

• Work in a fast-paced environment with a small team of experienced (and super cool) developers
• Develop groundbreaking features all the way from UI to database
• Collaborate cross-departmentally with data scientists, the Marketing Team and Customer Success
• Our Stack- React.JS, Redux, Node.js, Ruby on Rails, AWS, Elastic Search, Redis, MySQL

• Strong technical skills and a passion for developing features end-to-end (client and server).
• Experience with big data.
• Experience building a web application from scratch.
• Team player with strong communication skills, a positive attitude, and empathy.
• A quick learner and initiative-taker.
• Degree in Computer Science (not a must; we're always looking for super talented people)

You will be reporting directly to the Data and AI infra product group lead.

• You have at least 5 years of experience as a product manager with a proven track record of delivering impactful products - A must
• You have a background in working with data, either as a data PM, a data scientist or an analyst or other equivalent role.
• You are impact-driven with a “business first” mentality, and a strong strategic mindset that can balance between short/long long-term business needs
• You’re self-driven and comfortable motivating, leading, and making decisions without consensus
• You are passionate about great user experiences, and you have a keen eye for details
• You have strong communication skills and are able to thoroughly explain product decision rationale
• You are analytical and experienced in working both with qualitative and quantitative data to drive product decisions.
• You are a fast learner, adaptive, and thrive in a fast-paced, ever-changing environment
• Previous experience as an entrepreneur and/or reporting to senior leadership- Advantage
• Previous experience working with data scientists - Advantage
• You enjoy mentoring, supporting, and training others - Advantage

• Design, build, and ship features end-to-end across frontend (React) and backend (NestJS, Postgres, Redis) .
• Collaborate closely with Unity developers to integrate 3D experiences with business logic and 2D interfaces.
• Implement real-time communication features (video, audio, chat) at scale using LiveKit.
• Write clean, performant, and maintainable code with a focus on reliability and scalability.
• Act as a mini product owner : scope features, plan implementations, and define success metrics.
• Proactively identify performance bottlenecks and propose architectural improvements.
• Contribute to our CI/CD pipelines, testing practices, and infrastructure when needed.
• Operate with high independence, ownership, and attention to detail in a small but impactful team.

• 3–6 years of professional experience in software development, ideally across 2–3 companies .
• Strong hands-on experience with React (and modern frontend practices) and at least one backend framework (NestJS preferred) .
• Solid knowledge of databases (Postgres, Redis) and API design .
• Experience building real-time systems (e.g., WebRTC, LiveKit, chat, streaming).
• Proven ability to take features from idea → design → implementation → production .
• Comfortable working in a startup-like, fast-paced environment with shifting priorities.
• Strong collaboration skills, including working with teammates from other disciplines (e.g., Unity/3D).
• A mindset for performance, scalability, and clean architecture .
• Bonus: exposure to CI/CD, testing automation, cloud environments (AWS/GCP) .

As a Data Engineer in the BigBrain Core team, you will be part of a growing group that’s building the best-in-class data ecosystem to support monday.com’s hyper-scale and most critical data needs.

You will design, implement, and support robust, scalable data solutions, and take ownership of core components such as the Data Lake, batch and streaming infrastructure, high-scale data pipelines, and distributed systems.

In addition, you will play a key role in empowering our infrastructure with AI capabilities – from building AI-assisted data pipelines and smart monitoring tools, to supporting AI-driven features and services across the organization.

● 3+ years of experience as a data engineer / big data developer.

● 3+ years of experience with a programming language (python, java, scala, nodejs).

● Experience with designing data pipelines & data lakes.

● Experience with big data tools: Hadoop, Spark, Kafka, etc.

● Experience with SQL and database architecture.

● Experience with workflows and data processing pipelines like AirFlow.

● Experience working in a cloud environment, preferably AWS.

● Experience with Big Data architectures.

● Building and designing large-scale applications.