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KnowBe4 empowers the modern workforce to make smarter security decisions every day. Trusted by more than 70,000 organizations worldwide, KnowBe4 is the pioneer of digital workforce security, securing both AI agents and humans. The KnowBe4 Platform provides attack simulation and training, collaboration security, and agent security powered by AIDA (Artificial Intelligence Defense Agents) and a proprietary Risk Score. The platform leverages 15-years of behavioral data to combat advanced threats including social engineering, prompt injection, and shadow AI. By securing humans and agents, KnowBe4 leads the industry in workforce trust and defense. Please submit your resume in English. Data Engineers work closely with business stakeholders to understand their goals and identify data-driven strategies to achieve those goals. They design data modeling processes, create algorithms and predictive models to extract the insight the business needs and help analyze the data to increase the productivity and efficiency of the business. Responsibilities: Build and maintain the dbt transformation layer (staging → intermediate → marts) with dimensional modeling, tests, and documentation, delivering clean, analysis-ready datasets for reporting and analytics. Partner with business stakeholders to translate reporting and analytics requirements into well-modeled, certified data definitions and BI-ready datasets. Design, build, and maintain Snowflake Semantic Views — defining the tables, relationships, facts, dimensions, and metrics that form the governed, reusable definitions layer on top of the warehouse. Author and curate verified queries, synonyms, and metric definitions so semantic views reliably power natural-language and AI-driven querying (e.g., Cortex Analyst / MCP-based access). Use AI/LLM tools (e.g., Claude, Copilot, or similar) as part of the daily engineering workflow — for code generation, query drafting, documentation, and accelerating model development. Own data quality, testing, and documentation for your models, and support the governance and certification of datasets and semantic views for broad self-service use. Enable BI and downstream consumers (Looker/Tableau) by exposing consistent, trustworthy metrics through the modeled and semantic layers.Skills: Skills: Hands-on production experience building analytics models with dbt (staging/marts patterns, tests, documentation). Strong dimensional and semantic data modeling skills — star schemas, facts vs. dimensions, grain, and slowly changing dimensions. Production experience with Snowflake, including building or maintaining semantic views / semantic models (or a comparable semantic/metrics layer such as LookML, dbt Semantic Layer/MetricFlow, or Cube). Ability to translate business metric definitions into governed, reusable data models and semantic objects. Git-based version control and code review workflows for analytics code. Strong SQL skills and hands-on Python experience for data transformation, testing, and tooling. Practical, working knowledge of LLMs/generative AI — how they're prompted, their capabilities and limitations — and comfort using AI coding/analytics assistants as everyday tools. Our Fantastic Benefits We offer company-wide bonuses based on monthly sales targets, employee referral bonuses, adoption assistance, tuition reimbursement, certification reimbursement, and certification completion bonuses - all in a modern, high-tech, and fun work environment. For more details about our benefits in each office location, please visit www.knowbe4.com/careers/benefits . Note: An applicant assessment and background check may be part of your hiring procedure. Individuals seeking employment at KnowBe4 are considered without prejudice to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation or any other characteristic protected under applicable federal, state, or local law. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please visit www.knowbe4.com/careers/request-accommodation. No recruitment agencies, please.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.