Analytics Engineer (Python & Product Analytics)

🏢 Summary: Senior Python Engineer role focused on building and scaling a cloud-native real-time Data Platform handling massive datasets. The position involves developing high-performance backend services, optimizing distributed systems, and integrating large-scale data storage solutions. Hybrid work model in Warsaw with employment benefits including private medical care and multisport card. 🗂️ Requirements: 8+ years of backend software development experience, Advanced Python expertise, Experience with scalable production-grade systems, Knowledge of concurrency and multiprocessing, Experience with Pandas or NumPy, Experience with Parquet or JSON data formats, Knowledge of relational and NoSQL databases, Experience with performance optimization and low-latency systems, Ability to use AI-assisted development tools responsibly 📃 Skills: Python, Pandas, NumPy, Parquet, JSON, SQL, NoSQL, API, OOP, Concurrency, Multiprocessing, Algorithms, Databases, Cloud 🏢 Description: For our client, a leading, high-growth global fintech company – we are looking for an experienced Senior Python Engineer to join a key engineering team responsible for the company’s core data foundation. The project focuses on building, optimizing, and scaling a cloud-native, high-throughput Data Platform designed to ingest, process, and distribute massive datasets in real-time. This platform serves as the backbone for various downstream analytical systems, requiring extreme reliability, performance, and scalability. This is a fantastic opportunity for a strong Python generalist who enjoys solving complex distributed system problems, optimizing data flows, and working with modern cloud architectures. Responsibilities Backend & Pipeline Development: Design and develop scalable backend services and high-performance data processing pipelines using Python. Performance Tuning: Identify bottlenecks and optimize system performance, focus on concurrency, throughput, and low-latency execution. Data Integration & Storage: Build robust integrations with modern cloud-native storage solutions and databases to manage large-scale datasets efficiently. Collaborative Engineering: Work closely with cross-functional technical teams to understand data requirements and deliver reliable API services and platform features. Engineering Excellence: Maintain top-tier coding standards, emphasizing clean code, robust testing (unit/integration), automation, and security. Requirements 8+ years of professional backend software development experience (with a strong track record in building scalable, production-grade systems). Deep expertise in Python (advanced OOP, concurrency/multiprocessing, memory management, data structures, and algorithms). Solid experience with data-centric libraries such as Pandas, NumPy, or similar data processing frameworks. Experience with large-scale data storage formats (e.g., Parquet, JSON, or column-oriented databases) and relational/NoSQL databases. AI-assisted development mindset: Comfortable utilizing AI tools  to accelerate delivery, while maintaining strong developer judgment regarding validation, testing, security, and refactoring. What our client offers: Hybrid work model in Warsaw (minimum 3 days a week in the office - strictly non-negotiable). Contract of Employment (UoP) with increased tax-deductible costs (KUP). Private medical care (including full dental care). Lunch card to cover your daily meals. Multisport card.

🏢 Summary: The offer is for an experienced Python Data Engineer to build scalable, cloud-based data and analytics solutions for global financial institutions. The role focuses on designing distributed data pipelines, enhancing system reliability, and developing financial and AI-driven data platforms. You will work with modern cloud and AI tools to advance enterprise data architecture and analytics capabilities. 🗂️ Requirements: 4+ years of professional experience in Python data or software engineering, Strong knowledge of data architecture, data modeling, and data warehousing, Advanced SQL skills and complex query writing, Experience building scalable distributed data pipelines, Hands-on experience with cloud environments (AWS preferred), Understanding of event-driven architectures, Experience with debugging and system reliability practices 📃 Skills: Python, SQL, AWS, Databricks, Spark, PySpark, Scala, Delta, Airflow, dbt, Kafka, Kubernetes, MongoDB, Grafana, Loki, Prometheus, OpenTelemetry 🏢 Description: We are partnering with top-tier global financial institutions to scale their core technology and data infrastructure. We are looking for an experienced and product-oriented Python Data Engineer to join our technology group. In this role, you will work at the intersection of cutting-edge technology and institutional finance. You will collaborate closely with data consumers, engineering teams, and business stakeholders to push the firm's technological capabilities forward. What You’ll Do: Core Responsibilities: Design, develop, and deliver high-quality, scalable Python-based solutions. Drive engineering excellence by ensuring system reliability, automating processes, and maintaining high operational standards. Actively experiment with and integrate modern AI coding tools (e.g., Copilot, Cursor) to streamline engineering workflows. Lead design discussions, mentor junior colleagues, and communicate proactively across a geo-distributed team. Depending on the specific project or team, your focus may include: Enterprise Data Platforms: Building cloud-based (AWS) pipelines for data ingestion, streaming, and cataloging. Risk & Portfolio Analytics Systems: Developing software for financial data ingress/egress, performance/exposure monitoring, and automated reconciliation. AI & Metadata Applications: Extending AI-powered semantic data access layers and internal data catalogs. What We’re Looking For Experience: 4+ years of professional experience in software or data engineering, specifically using Python . Data Skills: Solid understanding of data architecture, modeling, and warehousing. Excellent debugging acumen and comfort writing complex SQL statements. Cloud & Architecture: Experience building scalable, distributed pipelines in a cloud environment (preferably AWS ). Familiarity with event-driven architectures. Mindset: Impact-oriented, proactive, self-starting learner who embraces engineering automation, navigates ambiguity well, and holds themselves to high ethical standards. Nice to Have: Big Data & Orchestration: Expertise in Databricks, Spark (PySpark/Scala), Delta Lake, and orchestration tools like Airflow, dbt, or Kafka. Infrastructure & Observability: Working knowledge of Kubernetes, MongoDB, and observability stacks (Grafana, Loki, Prometheus, OpenTelemetry). Offer: Competitive compensation (30k - 45k PLN) with flexible contracting options (B2B/UoP). Premium office location in the heart of Warsaw. Comprehensive private medical and dental care. Sports card and wellness benefits. Private life insurance

🏢 Summary: Remote Senior Fullstack Python Engineer role focused on building and maintaining scalable SaaS platforms for influencer marketing using large-scale datasets and AI-driven solutions. The position involves full-stack development across frontend and backend systems in a lean engineering team. 🗂️ Requirements: 5+ years of experience developing large-scale systems and web applications, Proficiency with HTML, CSS, JavaScript, React, and Node.js, Strong expertise in Python and Django, Experience with PostgreSQL or MySQL, Knowledge of Functional Programming and Object-Oriented Programming, Experience with Git and GitHub, Experience working in Agile/Kanban environments, Strong written and verbal communication skills, Ability to work remotely with overlap to US Pacific Time 📃 Skills: Python, Django, React, Node.js, HTML, CSS, JavaScript, PostgreSQL, MySQL, Git, GitHub, Agile, Kanban, ElasticSearch, ETL 🏢 Description: Position: Senior Fullstack Python Engineer Working model: 100% Remote Salary: USD 6,200 – 7,400 /  month Type of contract: B2B Our Client is a successful SaaS creator marketing solution provider. The Company has been connecting and supporting Influencers and Fortune 500 brands in building their content marketing strategies for over a decade. They are looking for a Senior Python developer to join their lean, 6 people team to work on their set of solutions, using high volume of data (over 300B data points, nearly 2 M creators, 750M elements of content and counting), AI and tackling technical challenges on a daily basis. Responsibilities Collaborate with product, developers, and stakeholders to create visually stunning and responsive user interfaces. Design, build, and maintain Open Influences Platforms across the entire technology stack. Contribute to the design and development of backend architectures that address high workloads. Write clean, efficient, and maintainable code using modern web development languages and practices. Develop and maintain reusable code libraries and frameworks. Requirements A minimum of 5 years of experience in designing and developing large-scale systems and web-based applications. Proficiency in front-end technologies, HTML, CSS, and JS frameworks like React and Node.js Mastery of Python, Django, and RDBMS such as Postgres or MySQL. Knowledge of Functional Programming and Object-Oriented Programming paradigms. Experience with version control systems, specifically Git and GitHub. Experience with Agile (Kanban) development processes. Excellent written and verbal communication skills. Ability to work remotely with at least a 4-hour overlap with 9 am – 6 pm US Pacific Time (during the trial period full US Pacific Time coverage). Bonus points for Experience with performance tuning, identifying, and resolving bottlenecks. Familiarity with the ETL process and handling of larger data sets. Familiarity with ElasticSearch Comfortable with full-stack development, emphasizing front-end efforts to modernize platforms. Experience or keen interest in innovative product development. Strong understanding of and experience with big data solutions.

🏢 Summary: Opportunity for an experienced Python Data Engineer to build scalable data platforms and analytics systems for global financial institutions. The role focuses on designing cloud-based data pipelines, enhancing system reliability, and integrating modern AI tools into engineering workflows. You will collaborate across distributed teams to deliver high-quality solutions in enterprise data, risk analytics, and AI-driven metadata applications. 🗂️ Requirements: 4+ years of professional experience in software or data engineering using Python, Strong knowledge of data architecture, data modeling, and data warehousing, Ability to write complex SQL queries and perform advanced debugging, Experience building scalable, distributed data pipelines in cloud environments, Experience with AWS, Familiarity with event-driven architectures 📃 Skills: Python, SQL, AWS, Databricks, Spark, PySpark, Scala, Delta, Airflow, dbt, Kafka, Kubernetes, MongoDB, Grafana, Loki, Prometheus, OpenTelemetry 🏢 Description: We are partnering with top-tier global financial institutions to scale their core technology and data infrastructure. We are looking for an experienced and product-oriented Python Data Engineer to join our technology group. In this role, you will work at the intersection of cutting-edge technology and institutional finance. You will collaborate closely with data consumers, engineering teams, and business stakeholders to push the firm's technological capabilities forward. What You’ll Do: Core Responsibilities: Design, develop, and deliver high-quality, scalable Python-based solutions. Drive engineering excellence by ensuring system reliability, automating processes, and maintaining high operational standards. Actively experiment with and integrate modern AI coding tools (e.g., Copilot, Cursor) to streamline engineering workflows. Lead design discussions, mentor junior colleagues, and communicate proactively across a geo-distributed team. Depending on the specific project or team, your focus may include: Enterprise Data Platforms: Building cloud-based (AWS) pipelines for data ingestion, streaming, and cataloging. Risk & Portfolio Analytics Systems: Developing software for financial data ingress/egress, performance/exposure monitoring, and automated reconciliation. AI & Metadata Applications: Extending AI-powered semantic data access layers and internal data catalogs. What We’re Looking For: Experience: 4+ years of professional experience in software or data engineering, specifically using Python . Data Skills: Solid understanding of data architecture, modeling, and warehousing. Excellent debugging acumen and comfort writing complex SQL statements. Cloud & Architecture: Experience building scalable, distributed pipelines in a cloud environment (preferably AWS ). Familiarity with event-driven architectures. Mindset: Impact-oriented, proactive, self-starting learner who embraces engineering automation, navigates ambiguity well, and holds themselves to high ethical standards. Nice to Have: Big Data & Orchestration: Expertise in Databricks, Spark (PySpark/Scala), Delta Lake, and orchestration tools like Airflow, dbt, or Kafka. Infrastructure & Observability: Working knowledge of Kubernetes, MongoDB, and observability stacks (Grafana, Loki, Prometheus, OpenTelemetry). Offer: Competitive compensation (30k - 45k PLN) with flexible contracting options (B2B/UoP). Premium office location in the heart of Warsaw. Comprehensive private medical and dental care. Sports card and wellness benefits. Private life insurance

🏢 Summary: Remote Full-stack Data Engineer role focused on building and enhancing a modern Azure-based data architecture and reporting framework supporting IFRS17 and IFRS9 processes, using Angular and Python. The position involves end-to-end development of data pipelines, ETL solutions, and full-stack applications within a scalable cloud environment. 🗂️ Requirements: Proven experience as Full-stack Developer or Data Engineer, Strong hands-on experience with Angular, Strong hands-on experience with Python and Flask, Experience with Microsoft Azure services, Experience building ETL or data integration pipelines, Knowledge of unit testing and integration testing, Experience with data architectures and reporting frameworks, Understanding of configuration management and deployment processes, European Union citizenship, Residence in Poland 📃 Skills: Angular, Python, Flask, Azure, DataFactory, Databricks, ETL, SQL, IFRS17, IFRS9 🏢 Description: In Cyclad we work with top international IT companies in order to boost their potential in delivering outstanding, cutting-edge technologies that shape the world of the future. We are currently looking for an experienced Full-stack Data Engineer (Azure + Python + Angular) to join a remote development team working on building a modern data architecture and reporting framework supporting IFRS17 and IFRS9 Quality Assurance and reporting processes. Project information: Type of project: IT services Office location: Poland Work mode: Remote Budget: 100–130 PLN net/h – b2b Project length: Long-term Only candidates with citizenship in the European Union and residence in Poland Start date: ASAP (depending on candidate’s availability) Project scope: Design, develop, and maintain full-stack solutions using Angular (frontend) and Python (Flask backend) Build and deploy end-to-end data pipelines and applications (development-focused, not only maintenance) Develop and maintain application code, mappings, and integrations across systems Design and implement ETL / Data Integration solutions using Azure Data Factory and Azure Databricks Participate in architecture design and contribute to building a scalable data and reporting framework Collaborate with business stakeholders to design wireframes and define UI requirements Ensure proper documentation of UI and system requirements Troubleshoot and resolve technical issues across the application stack Maintain and enhance the current VITA architecture Improve system performance, scalability, and security Deliver product releases in line with specifications, including unit testing Implement new features, change requests, and required design/documentation activities Develop and execute integration tests to ensure compliance with requirements Maintain and update build procedures and configuration management processes Competence demands: Proven experience as a Full-stack Developer / Data Engineer or similar role Strong hands-on experience with Angular and Python (Flask) Solid experience with Microsoft Azure ecosystem (Data Factory, Databricks, cloud services) Experience in building ETL / data integration pipelines Knowledge of unit testing and integration testing practices Understanding of configuration management and deployment processes Experience working with data architectures and reporting frameworks Familiarity with regulatory environments (IFRS17 / IFRS9 is a strong plus) Strong problem-solving and troubleshooting skills Ability to work independently in a remote environment Good communication skills and ability to collaborate with business stakeholders We offer: Remote working model Full-time job agreement based on b2b Private medical care with dental care (covering 70% of costs) Multisport card (also for an accompanying person) Life insurance

🏢 Summary: Senior Data Engineer role focused on designing and building scalable serverless data ingestion pipelines in AWS within the healthcare domain. The position emphasizes strong Python engineering, cloud architecture leadership, and implementation of modern data platforms and DevOps practices. The role involves driving technical excellence and delivering reliable, high-impact data solutions in an international environment. 🗂️ Requirements: 10+ years of experience in Python programming, Strong software engineering skills in data processing, Extensive experience with AWS Cloud and Serverless Architecture, Hands-on experience with AWS Lambda, S3, and Cognito, Experience building E2E automated tests for data pipelines, Practical knowledge of Data Mesh and Medallion Architecture, Experience with Infrastructure as Code using AWS CDK or Terraform, Experience with CI/CD pipelines using GitLab or GitHub Actions, Experience with ETL/ELT processes and dbt, Experience working with GraphQL, Minimum B2 level English proficiency 📃 Skills: Python, AWS, Lambda, S3, Cognito, Boto3, DataMesh, Medallion, CDK, Terraform, GitLab, GitHubActions, ETL, ELT, dbt, GraphQL, CI/CD 🏢 Description: We are looking for a highly skilled Data Engineer to join our client in the healthcare sector. Our requirements: Technical Expertise: Python Programming: 10+ years of experience with strong Software Engineering skills focused on data processing. AWS & Serverless: Extensive experience with AWS Cloud, specifically focusing on Serverless Architecture and services (including AWS Lambda , AWS S3 Tables , and AWS Cognito ). Automated Testing: Proven experience in developing End-to-End (E2E) automated tests to ensure pipeline reliability, utilizing tools such as Boto3 for AWS resource validation. Data Concepts: Practical knowledge of Data Mesh and Medallion Architecture , along with general data processing and analysis. DevOps & IaC: Hands-on experience with Infrastructure as Code ( AWS CDK or Terraform ) and CI/CD pipelines ( GitLab pipelines or GitHub Actions ). Modern Tooling: Experience with ETL/ELT solutions, dbt , and GraphQL . Communication & Soft Skills: English Language: Minimum B2 level , enabling smooth daily technical and business communication in a global environment. Collaboration: Excellent communication skills and the ability to thrive in a collaborative, international team. Standards: A strong commitment to high standards of ethics, quality (Clean Code), and reliable delivery. Nice to have: Experience with Snowflake and SQL . Knowledge of Data Vault 2.0 modeling. Experience with Databricks . Familiarity with the Microsoft ecosystem: C# / .Net, T-SQL, SQL Server , and Azure DevOps . Experience with Star Schema database modeling. Knowledge of Descriptive Statistics. Your responsibilites: Design and build scalable Data Ingestion pipelines within the AWS cloud ecosystem. Lead technical delivery and implementation of core platform components, ensuring architectural integrity across the entire data lifecycle. Collaborate with Engineering Managers and cross-functional teams across the globe and Poland. Drive technical excellence by improving team processes, architecture standards, and engineering best practices. Support and consult with stakeholders to ensure successful delivery of high-impact, data-driven solutions. Contribute to the growth and maturity of the team’s cloud and data engineering capabilities. We offer: Challenging role within the company that creates innovative solutions. Work in international environment on demanding projects. Remote work model. Subsidized private medical care, life insurance, multisport card. Integration meetings. Employee referral program. If you have a deep expertise in Python and AWS , and building scalable Serverless data architectures is where you truly excel, this is the perfect role for you!

🏢 Summary: Senior Python Backend Engineer role focused on building and scaling AI-driven services and APIs for clinical trial risk detection, with strong emphasis on AI-assisted development and LLM integration. The position involves designing robust backend systems, integrating OpenAI-based capabilities, and solving performance and architectural challenges in a data-intensive SaaS environment. You will work with modern Python frameworks and cloud-native technologies in an Agile setup. 🗂️ Requirements: 6+ years of professional software development experience, Strong production-level Python experience, Experience building and consuming REST APIs, Daily professional use of AI coding assistants (e.g. GitHub Copilot), Familiarity with Specification-Driven Development (SDD), Working knowledge of BMAD methodology for AI/ML features, Experience with SQL and/or NoSQL databases, Understanding of Agile/SCRUM methodology, Knowledge of software design and architectural patterns (SOLID, Clean Architecture), Fluent English for technical collaboration 📃 Skills: Python, FastAPI, Flask, Pyramid, REST, OpenAI, GitHub, Copilot, SDD, BMAD, SQL, MySQL, MongoDB, CosmosDB, Kubernetes, Docker, Git, Celery, Temporal, Azure, CI/CD, SOLID, Agile, SCRUM 🏢 Description: About the client: Our client is a  cutting-edge, technology focused SaaS company that provides a better way of detecting and managing risks that may impact the outcome of clinical trials. Their solutions are driven by a unique set of algorithms that interrogate clinical and operational data in real-time centrally to conveniently illuminate outliers and anomalies in data. Role description You will join a 100+ strong Engineering team driving the future of data-driven statistics, machine learning, and AI software solutions. As part of a talented group of Python developers within a dynamic, fast-scaling company, you will tackle meaningful engineering challenges — and now, you will be at the forefront of integrating AI-assisted development practices into the team's everyday workflow. Our backend engineers primarily work with Python and FastAPI, broader tech stack includes: Kubernetes, Docker, Flask, Pyramid, Git, MySQL, Mongo, Azure Cosmos Db, Celery, Temporal Responsibilities: •    Design, build and maintain robust, scalable Python services and APIs •    Integrate and extend AI/LLM capabilities using the OpenAI API and related tooling •    Accelerate development velocity through effective use of GitHub Copilot and AI-assisted code review •    Apply SDD practices to ensure features are specification-aligned and well-documented from day one •    Refactor existing codebases and perform thorough peer code reviews •    Solve complex performance bottlenecks and architectural challenges at scale •    Collaborate with Product and Design to translate end-user needs into pragmatic technical solutions •    Champion engineering best practices, clean code principles and knowledge sharing within the team Requirements: •    6+ years of professional software development experience •    Strong Python expertise — production-grade services, libraries and tooling •    Proven experience building and consuming REST-based web services •    Daily use of GitHub Copilot or equivalent AI coding assistants in a professional context •    Familiarity with SDD (Specification-Driven Development) workflows •    Working knowledge of BMAD delivery methodology for AI/ML features •    Solid understanding of SQL and/or NoSQL databases •    Clear understanding of Agile/SCRUM methodology •    Strong grasp of software design and architectural patterns (SOLID, Clean Architecture, etc.) •    Confident written and spoken English for daily collaboration in an international team Nice to have: •    Containerisation — Docker, Kubernetes or equivalent orchestration platforms •    Background in clinical data, life sciences or regulated software environments •    Contributions to open-source AI/ML projects •    Experience working with Azure, understanding of CI/CD

🏢 Summary: Fullstack Developer role for a 100% remote international project focused on a Customer Data Platform and marketing automation product. The position involves building and integrating data-driven, AI-powered e-commerce solutions using a modern web stack. 🗂️ Requirements: Experience with Vue.js, Experience with Python, Experience with Docker, Experience with REST APIs, Experience with Shopify integrations, Experience with e-commerce integrations, Experience with AI integrations 📃 Skills: Vue.js, Python, Docker, REST, APIs, Shopify, Ecommerce, AI 🏢 Description: 𝗡𝗲𝘄 𝗢𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝘆 | 𝗙𝘂𝗹𝗹𝘀𝘁𝗮𝗰𝗸 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 (𝗩𝘂𝗲.𝗷𝘀 + 𝗣𝘆𝘁𝗵𝗼𝗻 + 𝗗𝗼𝗰𝗸𝗲𝗿) | 𝟭𝟬𝟬% 𝗥𝗲𝗺𝗼𝘁𝗲 We are hiring for an exciting international project in the Customer Data Platform (CDP) & Marketing Automation space. This is a great opportunity to work on a product-driven platform that helps companies centralize customer data, run personalized campaigns, and optimize e-commerce performance through automation and AI. 💻 Role: Fullstack Developer Work Model: 100% Remote Start: ASAP 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸: • Vue.js 🟢 • Python 🐍 • Docker 🐳 • REST APIs 🔗 • Shopify / E-commerce integrations 🛒 • AI integrations 🤖 𝗪𝗵𝗮𝘁 𝗺𝗮𝗸𝗲𝘀 𝘁𝗵𝗶𝘀 𝗶𝗻𝘁𝗲𝗿𝗲𝘀𝘁𝗶𝗻𝗴: • Work on a platform combining data, automation, and AI. • Strong exposure to e-commerce tracking and marketing tech. • International, product-oriented environment with European growth. If you’re working with this stack and looking for a new challenge, this could be a strong next step.

🏢 Summary: Senior Software Engineer role focused on designing and delivering new features and PoCs end-to-end on a large-scale SaaS and data platform. The position emphasizes backend development in Python, extending a mature system, and leveraging AI/LLM tools to accelerate development and improve engineering workflows. Fully remote with high ownership and impact on product direction. 🗂️ Requirements: 7+ years of Software Engineering experience, Strong experience with Python, Experience with Django, Experience building large-scale production systems, Experience designing and maintaining REST APIs, Strong understanding of distributed systems, Strong understanding of backend architecture, Daily practical use of AI tools and LLMs in development workflows, Experience with cloud environments, Ability to independently design and deliver end-to-end solutions, Professional English proficiency 📃 Skills: Python, Django, REST, API, SaaS, LLM, AI, Cloud, DistributedSystems, Backend 🏢 Description: Does building awesome, innovative products that add up to something meaningful sound like a dream come true? Come join us and make that vision a reality! About We are looking for a product-driven Senior Software Engineer who thrives in fast-paced environments and enjoys turning ideas into practical, user-focused solutions. In this role, you will independently design and deliver new features and PoC end-to-end on top of an existing large-scale SaaS and data platform. Rather than working in a purely greenfield environment, you will extend and evolve a mature platform with new capabilities, focusing on speed, usability, and real customer value. A key part of this role is the daily use of AI and LLM-based tools to accelerate development workflows, prototyping, research, testing, and delivery. We are looking for someone who not only uses AI tools effectively but also understands how to integrate AI reasoning and automation into modern software engineering practices. Responsibilities Independently design, prototype, and deliver new features and PoCs end-to-end Translate product ideas into scalable and user-focused backend solutions Validate technical feasibility and make pragmatic architectural decisions Use AI tools, coding copilots, and LLM-based workflows to accelerate development, experimentation, and delivery Build and maintain scalable backend services and REST APIs using Python (preferably Django) Collaborate closely with Product, Design, and Engineering teams to shape and refine new features Contribute to engineering quality through code reviews, technical guidance, and knowledge sharing Continuously explore and introduce practical AI-driven workflows that improve engineering productivity and delivery speed Our offer Competitive salary on B2B contract Fully remote position Real impact and independence at work Individual career path Work-life balance A non-corporate atmosphere where innovation, personal growth, and teamwork thrive 100+ smart, curious & ambitious engineers What you bring 7+ years of experience as a Software Engineer Strong experience with Python and preferably Django Experience building and maintaining large-scale production systems and REST APIs Strong understanding of distributed systems and modern backend architecture Demonstrated daily use of AI tools and LLMs in real engineering workflows (e.g. code generation, prototyping, refactoring, testing, documentation, automation) Experience integrating with complex platforms and cloud environments Ability to independently deliver solutions with minimal supervision Strong product mindset and focus on solving real user problems Excellent communication and collaboration skills across Product, Design, and Engineering teams Curiosity, ownership, and passion for learning and experimenting with new technologies Professional level of English Nice to Have Experience mentoring or coaching engineers Experience working with data products and related scalability challenges Experience promoting AI-driven engineering practices and helping teams adopt modern AI workflows Benefits International Projects Small Teams Flat Structure Friendly Atmosphere Flexible Hours Individual Career Path We want your TALENT! Don’t hesitate and APPLY! We are happy to tell you more details about this position in a phone call. Our recruitment process is very fast and straightforward to ensure a great experience from the first interview to joining your dream team!

🏢 Summary: Senior Python & React Full-Stack Engineer role focused on maintaining, troubleshooting, and enhancing an existing live product within a single-client environment. The position involves full-stack development, improving UI/UX, onboarding users, and ensuring system stability and performance. This is a remote EU-based role with strong emphasis on practical problem-solving and product evolution. 🗂️ Requirements: 6+ years of experience as Full Stack Developer/Engineer, Hands-on backend experience with Python, Solid frontend experience with React, Experience with databases, Experience with cloud environments (preferably Azure), Understanding of software development lifecycle, Experience maintaining and improving existing products, Strong debugging and issue-resolution skills, Fluent English, Legal right to work in Europe 📃 Skills: Python, React, SQL, Azure, Cloud, UI, UX, Debugging 🏢 Description: Build what matters—stabilize, improve, and evolve a live product used every day. Remote (EU) • Up to 5 remote days/week As a Senior Python & React Full-Stack Engineer , you will be working for our client on an existing software product used within a single-client environment. Instead of starting from scratch, you will maintain, troubleshoot, and enhance a live solution—helping it grow as new users onboard and new needs emerge. If you enjoy practical problem-solving across frontend and backend, this is the kind of role where your work has immediate impact. Your main responsibilities: Support the ongoing development and maintenance of an existing software product Troubleshoot and fix bugs reported by users during onboarding and day-to-day usage Implement improvements and new features based on user feedback and business needs Enhance the UI/UX experience to keep the platform intuitive and user-friendly Work across both backend and frontend layers of the application Collaborate with stakeholders to understand issues, prioritize enhancements, and deliver practical solutions Help onboard new users by ensuring the platform remains stable and effective Continuously improve code quality, usability, and performance You're ideal for this role if you have: 6+ years of experience as a Full Stack Developer / Full Stack Engineer Hands-on backend experience with Python Solid frontend experience with React Basic to solid experience with databases and cloud-based environments (preferably Azure ) A strong understanding of the software development lifecycle across frontend and backend Experience maintaining and improving existing products (not only building new systems) Strong debugging and issue-resolution skills with clean, practical fixes A product-minded approach with sensitivity to UI/UX and user needs It is a strong plus if you have: (optional) Experience working on client-facing internal tools or single-client product environments Exposure to product support, user onboarding, or post-launch optimization Enthusiasm for AI and a practical understanding of how it works (without training models) Familiarity with Azure cloud-based application architecture Language Required for the role : English (Fluent) Eligibility for the role : Only candidates with an existing legal right to work in Europe will be considered for this role. #MAKEYourCareerBETTER Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.