Data Engineer (Python) at Quantlane | Prague
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About Quantlane
Quantlane is an innovative proprietary trading firm that specializes in providing traders with a robust data platform. Our diverse strategies across multiple asset classes help traders make informed decisions, fostering a culture of excellence and continuous improvement in trading performance.
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Pure Storage, Inc.
Join us at the forefront of technology, where we are revolutionizing the data storage landscape. Lead with creativity, evolve with us, and become part of the brightest minds in the industry.Our mission is rooted in work that transforms the world, staying true to the values that founded the tech industry. If you're eager to embrace limitless possibilities and leave your mark, we invite you to join our team.THE ROLEAs a Data / AI Engineer, you will design a high-performance data ecosystem that converts raw data into actionable intelligence and advanced AI solutions. Collaborating with Data Scientists and Product Managers, you will establish the infrastructure necessary to scale our AI capabilities, setting the stage for the future of automated customer support and operational excellence.WHAT YOU'LL DOArchitect Scalable Data Infrastructure: Design, deploy, and enhance ETL pipelines and data models that generate high-quality, AI-ready datasets for global business insights.Drive AI Evolution: Spearhead the technical development of AI-driven workflows, integrating innovative LLM frameworks to automate intricate business operations and improve decision-making.Ensure Data Excellence and Integrity: Oversee the complete data management lifecycle, implementing strong governance, security, and monitoring to uphold a "single source of truth" for key stakeholders.Collaborate and Solve Across Functions: Work alongside cross-functional teams to translate business needs into technical specifications, serving as the vital link that transforms raw data into meaningful organizational impact.Operational Reliability: Manage on-call support during business hours to guarantee smooth operation of ingestion systems, ensuring high availability for our global data users.WHAT YOU BRINGAdvanced Engineering Proficiency: Extensive technical knowledge in SQL, Python, and data modeling, with a successful history of maintaining complex data pipelines and workflow orchestration tools like Airflow or DBT.Modern Data Stack Expertise: Practical experience in managing relational and NoSQL databases (such as Snowflake, PostgreSQL, or MongoDB) within AWS cloud environments.Growth Mindset & AI Curiosity: A strong desire to learn and innovate in the field of AI.
About ShipMonkAt ShipMonk, we transcend traditional 3PL services; we act as a growth partner for merchants. Our cutting-edge technology combined with our proprietary network of fulfillment centers empowers high-growth eCommerce and DTC brands to focus on growth while we handle fulfillment seamlessly. With a dedicated team of over 2,500 employees across five countries, we are committed to transforming fulfillment. Our mission is to provide the fastest click-to-delivery service, real-time inventory management, and tailored solutions—all driven by a merchant-first philosophy.Why Join ShipMonk?We believe in building enduring partnerships, which is evident through five key differentiators that position us as true allies to our merchants.● Global Fulfillment Network: Our 12+ owned fulfillment centers located across the US, Canada, Mexico, the U.K., and Mainland Europe ensure quality and consistency by never outsourcing our operations.● Proprietary Technology: Our AI-powered platform offers a real-time, unified view of inventory and orders, granting our merchants the control and visibility essential for their success.● Unrivaled Support: We pride ourselves on providing personalized, hands-on support with a global presence. Our dedicated teams are always on-site, ready to assist.● Transparent Pricing: We advocate for honest, long-term partnerships with our all-inclusive pricing model that guarantees predictable costs without hidden fees.● Future Commitment: With over $10 million invested annually in R&D, we ensure our technology and services continuously evolve, solidifying our role as a long-term partner.
Join Collibra's Innovative Artificial Intelligence Team We are on the lookout for a seasoned AI Engineer to architect and implement Artificial Intelligence solutions that enhance our customer experience and facilitate informed, data-driven decision-making. If you are passionate about leveraging cutting-edge technologies to create effective, high-performance AI solutions, this role is for you. You will collaborate with a global team of exceptional builders, united by a commitment to innovative technology, problem-solving, and the pursuit of crafting simple, elegant products that engage and delight customers at every level of data interaction. This is a hybrid role based in our Prague office, where you will work on-site at least two days a week. This model fosters connectivity, teamwork, and collective progress.
Join us as an AI Data Specialist to enhance AI-generated content tailored for the Czech language. Job Type: FreelanceLocation: Remote workWork Schedule: Part-time - 10+ hours per week. Work flexibly at your convenience.Start Date: ImmediateDuration: To be confirmedRate: Compensation varies by location Help Shape the Future of AIAre you a student, recent graduate, stay-at-home parent, or professional seeking flexible remote work? Are you eager to influence the development and safety of AI models? Your ResponsibilitiesThis role involves executing various data-related tasks, including:Data collection, evaluation, and annotation.Conducting pairwise comparisons.Managing counting tasks.Object tagging and labeling across various content types (audio, video, images, etc.). Qualifications We Seek:Fluency in Czech: Native-level proficiency.English Proficiency: Fluent or advanced (B2–C2).AI & Data Skills (Preferred): Background in machine learning tasks, data collection and preprocessing, data evaluation and quality assurance, and data annotation and labeling. What We Provide:Flexible working hours.Potential for additional income.Prompt payment.This position is ideally suited for students, part-timers, and stay-at-home parents.
GoodData’s Professional Services team in Prague is hiring a Frontend Software Engineer to help build AI-powered data applications for Fortune 500 clients. This group works on the Agentic Data Platform, focusing on solutions that process and analyze large datasets. The frontend squad, consisting of 6-7 engineers, collaborates within a larger Scrum team that includes data engineers, logical model designers, and full-stack developers. Using React, the team creates interfaces that make complex data analysis accessible to major clients. Engineers in this role develop their skills with support from experienced tech leads and architects. The team values collaboration, continuous learning, and encourages taking on more responsibility over time. Work culture AI agents such as Claude Code, Cursor, and Codex are integrated into daily workflows, assisting with scaffolding, refactoring, code reviews, and automation. Engineers select their preferred stack, including IDE, LLM provider, and agent workflow. Anthropic is commonly used, but everyone is free to choose what fits best. Rapid iteration and maintaining high standards are important. Tech leads provide guidance to balance quality and speed. Knowledge sharing is encouraged through internal workshops, frontend meetups, and open architectural discussions. Autonomy and ownership are central. Engineers decide how to solve problems and collaborate on prioritizing issues. What you will do Develop custom dashboard plugins and single-page applications for large clients using the open-source GoodData.UI React library. Work with others to deliver client solutions based on the GoodData platform and GoodData.UI. Deliver features end-to-end in an agile Scrum environment. Collaborate with tech leads and architects on feature implementation and technical discussions. Review code, write unit and integration tests, and work with QA to ensure software quality. Suggest improvements to best practices, technology stack, and AI-supported workflows. Requirements Proficiency in JavaScript and React. Experience with data visualization tools and libraries. Strong problem-solving ability and a collaborative mindset.
GoodData Corporation
Role Overview GoodData is looking for a Senior Python Engineer with a focus on Artificial Intelligence to join the team in Prague. This role centers on building AI solutions that support data analytics and business intelligence initiatives. What You Will Do Develop AI-driven features and tools using Python Work on projects that advance data analytics and business intelligence capabilities Collaborate with other engineers and teams to deliver reliable, scalable solutions Location This position is based in Prague.
Jobs for Humanity
Role overview Jobs for Humanity seeks a Senior Data Science & AI Specialist to join the Digital & IT group in Prague. This position centers on applying data science and artificial intelligence to advance digital projects and deliver measurable outcomes. What you will do Collaborate with teams throughout the organization to develop and implement data-driven strategies for digital initiatives. Examine large, complex datasets to identify trends and patterns. Create predictive models that inform business decisions. Communicate data findings as clear, actionable insights for stakeholders. Requirements Proven experience in data science and artificial intelligence techniques. Ability to work effectively with cross-functional teams. Strong skills in analysis and problem solving. Interest in supporting digital transformation efforts. Location: Prague
Rossum AI
Role Overview Rossum AI is hiring a Junior AI Platform Engineer to join the AI Platform (R&D) team in Prague. This entry-level role suits recent graduates or junior engineers interested in AI infrastructure and large-scale machine learning systems. As part of the team, you will help build and maintain Rossum’s proprietary LLM models. The work involves deploying AI solutions that process millions of documents, and collaborating closely with experienced research engineers. This position offers hands-on exposure to both platform engineering and machine learning in a production environment. What You Will Do Contribute to AI Infrastructure: Support the development of cloud-based AI systems (AWS), data processing pipelines, and model deployment workflows. Support CI/CD Processes: Help maintain and improve continuous integration and delivery pipelines to enable reliable model versioning and testing. System Monitoring: Build and refine monitoring tools to keep AI systems healthy and reliable. Cross-Team Collaboration: Work with research, backend, and product teams to bring new AI models into production smoothly. What We Look For Education: Degree in Computer Science or a related technical field. Background from Matfyz, CTU, FSV, or similar institutions is a plus. Python Skills: Solid programming experience in Python, gained through coursework, personal projects, or internships. Technical Fundamentals: Familiarity with SQL, and a basic understanding of Docker and Kubernetes. Interest in AI/ML: Curiosity about AI and machine learning, with a hands-on approach to understanding how systems work. English Communication: Comfortable communicating in English in a professional setting. What Success Looks Like First 3 Months: Complete onboarding, learn the system architecture, and deliver your first small tasks with guidance from a senior mentor. First 6 Months: Independently handle minor infrastructure improvements and help maintain system stability.
ShipMonk
About ShipMonkAt ShipMonk, we are not just a third-party logistics provider; we are a growth partner for merchants. Our advanced technology and a network of proprietary fulfillment centers empower fast-growing e-commerce and direct-to-consumer (DTC) brands to focus on growth while we handle the logistics. With a diverse team of over 2,500 professionals across five countries, we are dedicated to transforming the fulfillment landscape by offering everything from rapid click-to-delivery services to real-time inventory management and customized solutions—all with a merchant-first approach.Why Choose ShipMonk?We are committed to long-term success, driven by five core differentiators that establish us as true partners for our merchants:Global Fulfillment Network: Our 12+ owned and operated fulfillment centers span the US, Canada, Mexico, the UK, and Mainland Europe, ensuring quality and consistency without outsourcing.Proprietary Technology: Our AI-driven platform eliminates the need for tribal knowledge, providing a real-time, unified overview of inventory and orders, thus empowering our merchants with the control and visibility they need to thrive.Unmatched Support: We offer personalized, hands-on support with a global reach, with dedicated teams stationed at every fulfillment center, ready to assist whenever needed.Transparent Pricing: We uphold honest, long-term partnerships through all-inclusive pricing that ensures predictable costs without hidden fees or surprises.Future-Focused: We invest over $10 million annually in research and development to ensure our technology and services continuously evolve, making us a reliable partner for merchants looking to establish a lasting presence.
GoodData
At GoodData, we are transforming data analytics for the AI era. Our mission focuses on integrating AI as a key component of the GoodData platform, ensuring it is not merely an add-on but a fundamental aspect of our offering.We are seeking a Senior AI Architect to spearhead this initiative. In this pivotal role within our technical leadership team, you will help us stay ahead of the evolving AI landscape.This position goes beyond traditional enterprise architecture; it requires a visionary who views architecture as a dynamic system, embraces rapid experimentation, and is committed to delivering results.Key ResponsibilitiesEngage actively in hands-on development: prototype, implement, refactor, guide, and assist others as necessary.Critically evaluate existing assumptions that no longer hold up under scaling.Lead and influence the architecture of AI-driven features within the GoodData platform.Design adaptable, evolvable, and resilient systems that thrive in uncertainty rather than false stability.Steer the technical direction and decision-making processes within the AI team.Work across the technology stack, with a strong focus on backend development while maintaining front-end awareness.Translate AI advancements into practical, deployable product solutions.Mentor senior engineers to elevate the overall technical capabilities of the team.Your ProfileDemonstrate a strong sense of ownership; you proactively identify and resolve challenges.Exhibit a pragmatic, results-oriented, and execution-focused mindset.Approach AI as an integral part of workflows, considering factors like probabilistic systems, model limitations, and human-in-the-loop design.Be enthusiastic about testing emerging AI trends and evaluating their practical impact in production environments.Be comfortable designing systems where deterministic outcomes are optional.Possess strong backend engineering skills (Python, Langfuse, Qdrant, MCP, Deepeval, PyTorch, etc.) with a solid understanding of frontend principles.Have experience in designing distributed systems, APIs, service boundaries, and scalable, observable platforms.
About the RoleJoin Rossum, where we leverage cutting-edge machine learning and an intuitive user interface to streamline document processing and enhance efficiency across various industries. Our AI Research Team develops proprietary neural architectures that drive our production systems, enabling the processing of millions of documents weekly for clients globally.We are seeking a talented Senior AI Research Engineer to become a pivotal member of our AI Research Team (R&D). In this role, you will advance the field of document understanding through the training of innovative models from inception to realization, and by creating research prototypes and solutions that significantly enhance our product's capabilities.You will work at the intersection of groundbreaking global research and our internal model development, directly impacting our long-term model strategy and technical roadmap, enabling successful concepts to swiftly transition into scalable systems for customer use.As part of a collaborative team of seasoned researchers and engineers, you will work closely with Product and AI Platform Teams within a shared monorepo, fostering rapid experimentation, continuous delivery, and tangible customer impact.What You'll DoYou will be a leading force in shaping Rossum's document understanding strategy, managing comprehensive research initiatives while guiding the evolution of our models and platforms.Key Responsibilities Include:Lead research projects spanning deep learning, NLP, computer vision, and multimodal systems — integrating insights from global research with in-house innovation to create proprietary, production-ready models for Rossum.Design and execute innovative experiments with a proactive mindset, rapidly prototyping while evaluating deployment considerations to ensure real-world impact — focusing on inference cost, latency, robustness, and reliability.Manage large-scale NLP and vision training systems, overseeing architecture design, distributed training, and in-house benchmarks to align critical metrics with product needs.Utilize top-tier research infrastructure, including high-performance GPU clusters and large-memory machines, to conduct ambitious experiments at real-world scale.Influence Rossum’s technical roadmap by pinpointing high-impact research directions and driving their development from concept to customer implementation.Mentor and guide junior researchers and engineers, fostering a culture of learning and innovation within the team.
Transform the Future of Financial Services with Capco At Capco, we are at the forefront of management consulting and software development, working in partnership with leading international banks and insurance firms across Western Europe. Our innovative strategies and collaborative culture create an ideal environment for professionals eager to make a significant impact in financial services technology. Curious about our culture and team? Explore more at: Capco Careers Slovakia Why Join Our Team? Work with Prestigious Clients on Exciting Projects – Engage with top-tier banks on transformation initiatives that are reshaping financial services. Commitment to Continuous Learning & Development – Benefit from access to technical and soft skills training, professional certifications, and unlimited usage of the Udemy online learning platform. Flexible Work Environment – Enjoy the freedom to work remotely from anywhere within the Czech Republic. Comprehensive Benefits Package: Private health care & fully paid sick leave & sick days 25 vacation days (irrespective of age) Monthly cafeteria allowance (€50/month) or contribution to the 3rd pillar Fully paid meal vouchers Smartphone with 1TB data + Laptop Focus on Well-being & Community Engagement – Participate in yoga classes, mental health webinars, running challenges, sports activities, or take part in our volunteering initiatives. Competitive Compensation (commensurate with experience) along with an annual bonus & benefits package. Long-term Career Prospects – Indefinite period contract with ample opportunities for professional growth. Your Role – Generative AI Engineer Assist in developing scalable Python applications focused on Generative AI. Explore and implement techniques such as document chunking and embeddings. Collaborate with team members to design user-friendly interfaces (Angular/React) and deployment processes (Docker, Terraform, GitHub Actions). Engage with stakeholders to gather requirements and transform them into functional code. Adhere to coding best practices and contribute to documentation and testing. Skills and Expertise Bachelor's degree in a relevant field Fluent in English (German is a plus) 1–3 years of experience in Python Strong interest in Generative AI, LLMs, and data search technologies Experience with cloud services and DevOps tools is advantageous.
Transform Financial Services with CapcoAt Capco, we are at the forefront of management consulting and software development, collaborating with prominent banks and insurance firms throughout Western Europe. Our innovative mindset combined with a team-oriented culture makes us an exceptional environment for professionals eager to influence the future of financial services technology.Curious about our workplace culture? Discover more at: Capco Careers Slovakia
About UsAt duvo, we are on a mission to revolutionize enterprise operations. Traditional data transfer methods cause inefficiencies, resulting in costly and time-consuming processes. We are determined to eliminate this chaos for good.Our dynamic team is dedicated to delivering impactful solutions for our customers. We value humility and hard work, allowing our results to reflect our capabilities.Our VisionWe are developing an innovative Agentic Automation Platform designed for enterprises. This platform enables AI agents to seamlessly execute comprehensive tasks across various UIs and APIs, ensuring built-in governance.Where other copilots fall short, duvo excels. Business users define their desired outcomes, while our agents autonomously plan, execute, seek approvals for exceptions, and learn with each task. We are starting with a focus on retail applications—such as category management and supply chain optimization—where the return on investment is clear, before expanding into other sectors.Our speed is our competitive advantage: we ship quickly, iterate faster, and build upon our learning.
Pipedrive
Role overview Pipedrive is hiring a Principal AI/ML Scientist & Engineer in Prague, Czech Republic. This role leads projects focused on artificial intelligence and machine learning, working closely with a skilled team to create solutions that improve business processes and customer experiences. The position plays a key part in shaping the company's AI strategy and driving meaningful results.
Our Tech Stack: Python 3 (asyncio), Airflow, Docker, PostgreSQL/TimescaleDB, GitLab, Metabase, Streamlit, RabbitMQ, Kubernetes, AWS (S3, EC2), and we also explore ClickHouse, Apache Iceberg, DuckDB, and Trino.We are Quantlane, a proprietary trading firm designed for traders. We operate a diversified portfolio of systematic and discretionary strategies across equities, futures, energy, and commodities. A key aspect of our company is our data platform, which provides various data that our traders (and their algorithms) rely on for their trading decisions. Our Working StyleOur development team consists of 16 members, working in an agile environment where we focus on iterative development and emphasize testing. We currently have three specialized product sub-teams — Execution, Data, and Infrastructure — each concentrating on the development and operation of our core domains. Who We Are Looking ForWe are seeking a new member for our Data team, which currently includes five data engineers and one data scientist. Here, we tackle intriguing data challenges, ensuring that data is delivered in the required quality, format, and time to the desired location. Do you want to contribute to the development of a data platform that has a real impact on the success of our traders? Join us!
People.ai is a cutting-edge AI-driven foundational data platform, dedicated to empowering organizations in achieving go-to-market success and growth. Our solutions are tailored to meet the unique needs of teams, offering enhanced visibility into pipelines, actionable insights, and a unified source of truth for all sales activities.People.ai stands out with its unique dataset, comprising trillions of sales activities, millions of deals, and a vast network of 160 million business contacts, supported by 69 approved patents in AI-based business insights. Esteemed companies like Verizon, Red Hat, and Palo Alto Networks trust our enterprise-ready, patented AI technology.At People.ai, we embrace the transformative power of creativity, resourcefulness, and critical thinking in enriching the professional landscape. Our diverse team of innovative thinkers is committed to driving meaningful change and fostering growth. We celebrate uniqueness and applaud non-traditional career journeys, drawing inspiration from those who redefine processes.As a Senior Software Engineer within our XCore team, you will engage with one of the most significant projects at People.ai — Forecasting. Your role involves building and continuously improving a live product that serves active daily users, collaborating closely with business teams and customers through discovery calls. Your contributions will directly influence the company’s revenue by shaping and delivering features based on authentic customer feedback, fundamentally impacting how clients plan, forecast results, and make crucial business decisions.Moreover, you will work in collaboration with our Engineering and R&D teams to enhance core Admin Platform services, including authentication, user management, settings, and configurations. Utilizing customer insights and data analytics, you will design and develop high-performance, low-latency systems and APIs that scale effectively while optimizing our operational costs.Ownership is a core value at People.ai — the ability to see an idea through all stages, from conception to product launch. This ethos is deeply ingrained in our engineering culture. As an engineer at People.ai, you will be part of a highly independent and collaborative environment, driving innovation and excellence.
We are seeking a strategic, people-oriented leader to steer one of our three pivotal Engineering Pods as it transitions to an AI-Native operational framework. You will not be working alone; you will have the backing of a dedicated team of specialists, including a Portfolio/FinOps Lead, Quality Engineering Lead, Architecture Lead, and other Directors, along with the VP team. Your primary objective is to connect the engineering potential with the business reality. You will be the catalyst ensuring that our engineering teams go beyond merely building technology to actually delivering substantial value through our AI-Native Strategy. With an AI mindset, you recognize that AI represents not just a tool, but a transformative operational paradigm, and you are driven to see projects through to completion. Your Responsibilities 1. Strategic Execution & Driving Results Execution & Momentum Driver: Your mission is to minimize friction and sustain momentum. You will ensure that strategic initiatives (such as the transition towards Agentic AI) progress seamlessly from exploration to practical implementation, avoiding analysis paralysis or endless proofs of concept. Problem Solving: You will be the key person who resolves obstacles. When a project encounters delays due to interdepartmental misalignment or resource shortages, you will proactively address and resolve these issues. 2. Promoting an AI Mindset & Culture AI Evangelism: While you don’t need to train models, you must comprehend what AI can achieve. You will challenge existing practices by questioning: “Why are we doing this manually?” and “How can AI agents facilitate this workflow?” People-First Leadership: You will mentor Engineering Managers, fostering a culture that embraces a “fail fast, fail forward” philosophy that encourages learning through experimentation while ensuring strong accountability for delivery and knowledge sharing beyond individuals. Change Management: You understand that the journey to AI transformation is 10% technology and 90% people. You will guide the organization through this cultural evolution, transforming fears of automation into enthusiasm for high-value work. 3. AI Factory Economics & Governance Portfolio Management: View engineering initiatives as a valuable investment portfolio...
Pure Storage is building a new Data Platform Engineering function within its Infrastructure Shared Services (ISS) group in Prague. This team is responsible for creating a unified data platform that enables consistent, secure, and efficient data-centric services across the company. The goal is to deliver a seamless developer experience and provide clear ownership and protection for data, supporting teams as they adapt to evolving business and technology needs. As a Senior Data Platform Engineer, the focus will be on designing and managing a reliable, scalable, and intelligent data platform. This work supports fast, data-driven decisions and encourages a culture of innovation and accountability. What you will do Design, build, and manage core data platform services to support data ingestion, modeling, querying, and publishing. Architect a multi-engine environment using technologies such as Trino/Starburst, Dremio, ClickHouse, and Postgres/pgLake, with an Iceberg-based lakehouse at the center. Prioritize interoperability, operability, and security. Drive platform evolution by experimenting and evaluating performance, reliability, and cost, then standardizing effective solutions. Build lasting corporate knowledge through strong defaults, clear documentation, and user-friendly interfaces. This role is based in Prague, Czech Republic, and offers the chance to collaborate with experienced engineers while shaping the future of data infrastructure at Pure Storage.
JetBrains s.r.o.
Role Overview JetBrains is hiring a QA Engineer to support quality and performance for AI assistant features across several locations in Europe. This role centers on testing and improving AI-driven product capabilities, working closely with developers and product managers to maintain high standards for users.
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