🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
Bull is a story. One with a century of European innovation and a working environment where experts design powerful, sustainable, and sovereign digital solutions, enabling states and industries to retain full control over their data and their AI. Bull is also thousands of engineers, researchers and passionate tech people shaping the future of high‑performance computing, AI, and quantum technologies. Every day, our teams push the boundaries of what is technologically possible – from next‑generation HPC architectures to exascale supercomputers – supported by world‑class R&D, more than 1,600 patents, and unique end‑to‑end capabilities spanning hardware design, software engineering, data science and quantum research. We are a people‑centric, innovation‑driven company, where collaboration spans Europe, the Americas and India. We share a common vision of a responsible and sustainable innovation that delivers concrete impact for our customers. About the role Do you enjoy solving data challenges using Python or SQL? Are you passionate about modern open-source tech and working in cloud environments? If you're eager to collaborate with experienced professionals and build impactful data solutions, we’d love to hear from you. What You’ll Do As a Data Engineer , you'll play a key role in transforming raw data into valuable insights. You’ll design and optimize data pipelines, tackle complex data problems, and help build scalable, production-grade data systems. Think of it as turning raw materials into something powerful - except your tools are code, cloud, and AI. Why Join Us? At Bull, w e’re a fast-growing team of data scientists, engineers, and consultants working on high-impact AI projects across industries. We combine deep technical skills with a practical, product-focused mindset. Our Projects & Technology Stack We work on real-world challenges across diverse industries like banking, insurance, manufacturing, pharmaceuticals, and e-commerce, using a wide range of customer data sources, including call center logs, customer segmentation data, IoT sensors, and web analytics. These are just a few examples, the scope of our work is broad and constantly evolving as new data and technologies emerge. Tech we love : Python, SQL, Pandas, PySpark, Databricks. We deploy on Azure , AWS and Google Cloud Platform . How we work : Small, focused teams (2–5 people), agile workflows, and strong collaboration between engineers, analysts, scientists, and PMs. Remote-first culture : Work where you're most productive. This role is remote within Slovakia. Flexible working : Full-time and part-time options available, with part-time roles starting from 24 hours per week. What We’re Looking For Proficiency in Python and SQL . Experience working with cloud platforms (Azure, AWS or GCP) is an advantage. Interest in building and maintaining data pipelines and working with large datasets. A collaborative mindset and a desire to learn from and contribute to a skilled team. You must be legally authorized to travel and work across the EU as required for client engagements. What You’ll Get The chance to work on exciting, AI-powered solutions that make a real difference. A collaborative environment where learning and professional growth are a priority. Flexibility, remote work options, and a supportive team culture. Ready to build data solutions that matter? Join us and be part of shaping the future of AI and data engineering. #Bull Here, your ideas, your curiosity and your technical excellence directly shape the next era of advanced computing - unlocking enterprise value, accelerating scientific progress and driving positive impact for society.
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.