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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 an Analytics Engineer to join the Data Enablement team and help build the crucial bridge between our data and our customer-facing organization. As the sole engineering role on the team, you will own the technical work end-to-end - from a rough sketch to something stable and running in production. Why is this role crucial? As the most trusted platform for measuring online behavior, our data is only as powerful as our ability to communicate it. Engineering here is in service of analysis. By right-sizing your engineering to the problem - knowing when to ship a quick fix in a day and when to architect a quarter-long project - you will empower our analysts to work faster and help our customer-facing teams communicate our data effectively. Your independence, reliability, and technical judgement will directly impact how Similarweb’s insights are delivered to the world. What You'll Be Doing Day-to-Day End-to-End Ownership: Own the Databricks development environment and project structure for the team. Tool Building: Build practical internal tools (including AI-assisted and automated tools) that speed up data investigation and help customer-facing teams communicate data. Productionizing tooling: Work directly with analysts to turn their analytical tools into reliable automated solutions. Infrastructure & Automation: Set up and maintain Git workflows, code reviews, and deployments in GitLab, while managing automated ETLs and agents. Efficiency: Identify repetitive manual work across the team and automate it. Hands-on Analysis: Dive directly into the data when a project calls for it, balancing your time between building and analyzing. Understand the analytics you are building solutions for. AI Integration: Use AI coding assistants (like Cursor or Claude) as a normal, everyday part of your workflow. Collaboration: Work closely with infrastructure teams to build and scale new solutions. Having lots of fun! This Is The Perfect Job For Someone Who Has strong proficiency in Python, PySpark, and advanced SQL. Can take a vague, messy problem and drive it to a working solution by planning, designing, and delivering independently. Has a solid grasp of software engineering fundamentals (Git, continuous integration, and the discipline to maintain a mostly one-person codebase). Demonstrates great judgement on how much engineering a problem deserves, always keeping analytical correctness as non-negotiable. Is comfortable working with our AWS stack (or has a background in GCP/Azure with a genuine willingness to learn AWS). Is quick to pick up new tools and can build across a wide variety of infrastructures, rather than leaning on just one familiar stack. Communicates clearly, particularly when translating technical concepts to non-engineers. Has analytics at heart and cares about the question behind the code and digs into why a number looks off before moving on. Bonus: Has experience or curiosity in building AI-powered applications. Why You’ll Love Being a Similarwebber Impact : Work with the world’s leading digital intelligence platform and make a real difference. Innovation : Bring your ideas forward - we empower you to drive change. Hybrid work model: 3 days in our office and 2 days working from home. Our Office: Modern space in Prague’s DOCK IN area, stocked with snacks, drinks (we're big fans of kombucha), fruit and lunches on Tuedays. Benefits: 5 weeks of vacation, birthday day off, 3 sick days, or Multisport Top-tier Hardware : MacBook Pro M3, dual monitors, standing desks. Team Events : Regular team-building activities, monthly birthday celebrations with cakes and drinks, baking Thursdays and happy hours. Equity : Share in Similarweb’s success. Career Growth : Explore any path - leadership, switching teams, or upskilling through coaching and learning programs. 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.