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At Similarweb, we’re not just another data company—we’re the leading digital intelligence platform used by global giants like Google, eBay, and Adidas. 🌍 Our insights power the digital strategies of over 4,300 companies worldwide, and we’re growing fast. After going public on the New York Stock Exchange in 2021, we continue to break new ground, and now we’re expanding our dynamic team in Prague! 🇨🇿 We’re looking for a Analytics Engineer to join the Data Collection Operations team and contribute to the configuration writing, monitoring and big data analysis of Similarweb’s data collection services. This role involves working as part of a team responsible for ensuring the accuracy and reliability of our data collection processes across mobile and desktop devices. What is this role crucial? As the most trusted platform for measuring online behavior, millions of people rely on Similarweb’s insights daily as the ground truth for their knowledge of the digital world. Producing these insights requires large scale raw data to be collected in high quality and with minimal outages. As a Data Analyst, you will have the opportunity to perform hands-on work and take ownership of Similarweb’s raw data collection, monitoring and quality assurance processes. Your work will have a direct impact on the insights our products deliver to our customers. What You'll Be Doing Day-to-Day As a Data Analyst , you’ll be involved in a range of tasks that include: Configuration Writing: Create and maintain configuration files that define what data needs to be collected from web pages or APIs Data Monitoring & Validation: Monitor data flow and quality using Grafana and other tools, ensuring the collected data meets business requirements Use the AI tools to automate configuration autohealing and reduce alert fatigue Continuously learn and evaluate new technologies to improve the processes Collaborate with product managers and other data team leaders to enhance, monitor and maintain high-quality data collection Perform code reviews, collaborate on monitoring system improvement, answer data-related questions Having lots of fun! This is the perfect job for someone who: Has 3+ years of experience in data analysis Is proficient in technologies such as Databricks , Spark, Airflow, Grafana, or similar tools Has proven experience performing complex data analysis using SQL, Pyspark or Python Knowledge of HTML, JavaScript, AI tools is a bonus Acts as a trusted data partner by providing fast, reliable responses to data-related questions, while quickly identifying and resolving data issues Is comfortable taking challenges and learning new technologies Why you’ll love being a Similarwebber: Impact 😎: Work on a platform used by Google, eBay or Adidas. Innovation 🚀: Bring your ideas to life with full support. Hybrid work model : 3 days in our office and 2 days working from home🏡. Our office : Join us in our new office at DOCK IN (Palmovka) - stocked with snacks, drinks, and space to unwind. Great perks : 5 weeks of vacation, an extra day off during your birthday month, 3 sick days and a multisport card 😎 Top hardware 👩🏻💻: You'll work with a MacBook Pro M3, dual monitors, and electric standing desk. Team spirit : We host team-building events, parties, weekly lunches, and happy hours throughout the year 🎉. Access to equity programs 💸: Join in the success of Similarweb by becoming a shareholder! Grow your career any way you choose: Want to grow your career or explore new paths? With coaching, Career Week, and learning programs, we’ve got you covered. 🚀 #LI-Hybrid We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here .
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.