Développeur Python Dataiku (h/f)

🏢 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: 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: Software engineering role in the Data Platform team focused on building and maintaining data-driven applications, including AI-powered data access tools. The position involves developing scalable data and metadata solutions and contributing to high-impact projects across the organization. You will work across legacy and greenfield systems while leveraging modern AI-assisted development practices. 🗂️ Requirements: 3+ years of software engineering experience, Proficiency in Python, Proficiency in SQL 📃 Skills: Python, SQL, Kubernetes, Kafka, Trino, Grafana, Prometheus, CloudWatch, AWS, Copilot, Claude, Codex, AI, Cloud, Data, Metadata 🏢 Description: Join the Data Platform team to build and maintain data-driven applications, including AI-powered data access tools. Work on a mix of legacy, improved, and greenfield projects with firm-wide impact. What you’ll do: Develop and enhance solutions for data and metadata access Build reliable, scalable applications and operational processes Experiment with AI-assisted development tools and share best practices Collaborate in a distributed team, taking ownership of impactful projects What we’re looking for: 3+ years in software engineering, Python and SQL experience Experience with data systems, cloud technologies, or AI-assisted tools is a plus Product-oriented mindset, comfortable navigating ambiguity, and impact-focused Nice to have: Experience with Kubernetes, Kafka, or federated query engines (e.g., Trino) Familiarity with monitoring/observability tools like Grafana, Prometheus, CloudWatch Experience with AWS or other cloud platforms Hands-on experience with AI coding assistants (Copilot, Claude Code, Codex, etc.) Why join: High-visibility, high-impact role across the firm Shape AI-driven development and data access practices Work on cutting-edge tech in institutional finance Collaborative culture with competitive compensation

🏢 Summary: Senior Python Developer role focused on building and maintaining automation tools that support validation of critical data flows in credit decision processes. The position involves analytical work on financial and macroeconomic data, applying AI tools in software development, and translating complex business requirements into scalable technical solutions within an Agile environment. The role also includes maintaining high code quality standards and supporting Scrum processes when needed. 🗂️ Requirements: 5+ years of professional experience in Python development, Strong analytical skills in complex business domains, Hands-on experience with AI tools in software development, Experience working in Agile/Scrum environments, Practical experience with Jira, Ability to support Scrum ceremonies and team coordination, Fluency in English 📃 Skills: Python, AI, GitHub Copilot, ChatGPT, Jira, Scrum, Agile 🏢 Description: As a recruitment company, DCG understands that every business is powered by experienced professionals. Our management style and partnership approach enable us to meet your needs and provide continuous support. Due to our ongoing growth and the large number of recruitment projects we undertake for our partners, we are currently looking for: Senior Python Developer Responsibilities: Develop and maintain Python-based automation tools supporting validation of critical data flows in the credit decision process Ensure quality assurance of externally delivered frontend functionalities Perform analytical work on external financial and macroeconomic data sources (e.g. IMF, World Bank, EU, S&P), including data extraction, mapping, and feasibility assessments Explore and apply AI tools to improve developer productivity (e.g. code generation, analysis, testing support) Translate complex business requirements into scalable technical solutions in collaboration with analysts and product stakeholders Maintain high engineering standards, code quality, and best development practices Support team coordination when needed, including facilitating Scrum ceremonies and maintaining Jira workflows Contribute to continuous improvement of development processes, tooling, and delivery practices Requirements: 5+ years of professional experience in Python development Strong analytical mindset with the ability to work in complex business domains Hands-on experience using AI tools in software development ( e.g. GitHub Copilot, ChatGPT, AI-assisted testing or analysis tools ) Experience working in Agile / Scrum environments Practical experience with Jira (backlog management, sprint tracking) Ability to support team coordination and Scrum ceremonies when needed Strong communication skills and ability to collaborate across technical and business teams Fluency in English (both written and spoken) Nice to have: Experience in data analysis or data engineering Familiarity with machine learning or AI frameworks Experience in financial systems or credit risk solutions Experience as a technical mentor or informal team lead Interest in improving developer workflows through automation and AI Offer: Private medical care Co-financing for the sports card Constant support of dedicated consultant Employee referral program

🏢 Summary: The offer is for an AI Cloud Developer responsible for building and deploying scalable, cloud-native backend applications with integrated AI components. The role focuses on Python and Django development, workflow orchestration, containerization, and cloud infrastructure. It involves developing REST APIs, automating workflows, and maintaining secure, high-performance cloud environments. 🗂️ Requirements: Strong Python programming, Hands-on Django experience, Experience with Django Rest Framework, Practical experience with Apache Airflow, Hands-on Docker experience, Experience with Kubernetes, Proficiency with Git, Solid Linux knowledge, Experience with cloud platforms (AWS, Azure, GCP, or private cloud) 📃 Skills: Python, Django, DRF, Airflow, Docker, Kubernetes, Git, Linux, AWS, Azure, GCP, REST 🏢 Description: Position Overview We are looking for a skilled AI Cloud Developer to join our team and support the design, development, and deployment of intelligent cloud-based applications. The ideal candidate has strong backend development skills in Python and Django , hands-on experience with modern cloud-native technologies, and an interest in integrating AI solutions into production systems. This role focuses on building scalable, secure, and automated solutions that combine backend engineering, workflow orchestration, containerization, and cloud infrastructure. Roles and Responsibilities Design, develop, and maintain backend applications using Python and Django . Build and optimize RESTful APIs using Django Rest Framework (DRF) . Integrate AI/ML components and services into cloud-based applications. Develop and manage workflow automation solutions using Apache Airflow . Deploy and maintain containerized applications using Docker and Kubernetes . Support cloud-native application architecture and scalability. Improve CI/CD and deployment processes. Monitor, troubleshoot, and optimize application performance in cloud environments. Collaborate with DevOps, infrastructure, and data teams. Create and maintain technical documentation. Required Skills and Experience Strong programming skills in Python . Hands-on experience with Django . Experience with Django Rest Framework (DRF) . Practical experience with Apache Airflow . Hands-on experience with Docker . Experience working with Kubernetes . Proficiency with Git version control. Solid understanding of Linux systems . Knowledge of cloud environments (AWS, Azure, GCP, or private cloud). Strong analytical and problem-solving skills. Ability to work independently and in a technical team. Nice to Have Experience with AI/ML integration in production systems . Familiarity with MLOps practices . Experience with Infrastructure-as-Code tools (e.g., Terraform, Ansible). Knowledge of CI/CD pipelines. Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK). Understanding of scalable cloud-native architecture patterns.

🏢 Summary: Role for an experienced Python Developer to design and maintain scalable systems and data pipelines for digital health solutions. The position involves building prototypes and MVPs, contributing to system architecture, and improving performance and reliability of applications. It requires strong expertise in scalable software development and hands-on data pipeline implementation. 🗂️ Requirements: 5+ years of experience with Python, Hands-on experience building data pipelines, Strong knowledge of software architecture, Experience with scalable systems development, Ability to design and maintain high-quality codebases 📃 Skills: Python, AWS, Azure, CI/CD, SQL, Elasticsearch, OpenSearch, Neptune, Neo4j 🏢 Description: Python Developer with data pipeline About the project We are seeking a Python Developer with data pipeline for a global life‑science company driving innovation in digital health . You will build and maintain scalable applications, working closely with cross‑functional teams and contributing to new features and MVPs. Success in this role requires strong system architecture skills, hands‑on experience with scalable software, and a passion for experimentation and rapid prototyping. Tasks Develop and maintain scalable systems and data pipelines Build prototypes and MVPs to test new ideas Contribute to system architecture and high‑quality coding practices Improve performance, reliability, and maintainability of solutions Expectations 5+ years of experience with Python Hands-on experience building data pipelines Strong understanding of software architecture and scalable development Clear and effective communication skills Advanced English proficiency (C1 level) Nice to have Experience with AWS services Azure DevOps CI/CD pipelines Relational databases Elasticsearch/OpenSearch Graph databases (e.g., Neptune, Neo4j) We offer Ongoing support from a dedicated agent , taking care of your project continuity, client contact, necessary formalities, work comfort and development, Consultant Development Program – advice on growth planning based on the latest trends and market needs in IT, including consultations with agents and growth mentors, Access to 7N Learning & Development – a development and educational platform with webinars, a library of articles and industry reports, and regular invitations to one-time and recurring development events – technical, business, and lifestyle, Spectacular integration events , both for you (e.g., annual Kick-Off trip , Christmas parties, or Summer Olympics sports events) and for your loved ones (e.g., family picnics, movie premieres), Professional development not only during the project – you can get involved in knowledge transfer to others within the 7N Services offering directed at 7N clients, Relationships and access to the knowledge of the most experienced IT experts in the market – the average professional tenure of our consultants in Poland is over 10 years, A complete benefits package , including funding for medical care, life insurance, sports cards for you and your loved ones, as well as discounts in stores in Poland and abroad. About 7N Constantly searching for projects, difficult rate negotiations, lack of development support – sounds familiar? At 7N, you gain not only stability of contracts but also the personal involvement of a dedicated agent who ensures your professional comfort and continuous access to development initiatives. Our mission is to provide stable and rewarding collaborations that drive your success as an IT expert and the success of our clients. We build long-lasting relationships based on Scandinavian values and 30 years of experience creating IT solutions for over 200 organizations.

🏢 Summary: On-site Junior AI Python Developer role in Wroclaw focused on building and maintaining AI/ML-driven automation solutions. The position involves integrating LLMs and machine learning models into production, developing scalable APIs and data pipelines, and supporting CI/CD-based deployments. You will collaborate with Data Science and Infrastructure teams to deliver reliable, high-performance intelligent systems. 🗂️ Requirements: 1+ years software development experience, Strong Python proficiency, Knowledge of data structures, Knowledge of algorithms, Understanding of object-oriented programming, Understanding of concurrency, Familiarity with AI/ML/LLM concepts, Experience building AI-powered automation tools, Experience with CI/CD pipelines, Experience with RESTful APIs, Experience with AWS, Fluent English, Legal right to work in the EU 📃 Skills: Python, AI, ML, LLM, REST, AWS, Docker, Kubernetes, Jenkins, GitLab, CICD, Algorithms, DataStructures, OOP, Concurrency, APIs 🏢 Description: Wroclaw-based opportunity with on-site work model. As a Junior AI Python Developer , you will be working for our client, a forward-thinking leader in AI/ML technologies. You will contribute to building, maintaining, and evolving automation solutions powered by the latest artificial intelligence and machine learning models. Join a dynamic team focused on transforming complex data into actionable insights and pioneering the future of intelligent automation. Your main responsibilities: Design, develop, and maintain automation tools and systems utilizing AI/ML technologies. Collaborate with Data Science and Infrastructure teams to integrate large language models (LLMs) and machine learning models into production environments. Build and manage scalable APIs and real-time data processing pipelines for inference and analytics. Develop, test, and deploy CI/CD pipelines to ensure reliable and repeatable deployment processes. Stay updated with the latest advancements in AI/ML and apply relevant innovations to enhance business and research workflows. Optimize and troubleshoot existing solutions to improve performance and efficiency. Act as a proactive owner of your projects, delivering high-quality results in a fast-paced setting. You're ideal for this role if you have: 1+ years of professional software development experience. Strong proficiency in Python programming. Solid understanding of core computer science fundamentals, including data structures, algorithms, object-oriented programming, and concurrency. Familiarity with AI/ML/LLM concepts and the ability to collaborate effectively with Data Science teams. Experience building automation tools and services, especially those powered by AI. Exposure to CI/CD pipelines and tools like GitLab CI, Jenkins, Docker, and Kubernetes. Experience developing RESTful APIs and working with cloud platforms such as AWS. A problem-solving mindset with a willingness to take ownership of your work. It is a strong plus if you have: Additional certifications or experience in cloud solutions or container orchestration. Practical knowledge of scalable deployment architectures. Language Required for the role : Fluent English (verbal and written) Eligibility for the role : Only candidates with an existing legal right to work in the European Union will be considered for this role. We offer you: ITDS Business Consultants is involved in various, innovative, and professional IT projects for international companies in the financial industry in Europe. We offer an environment for professional, ambitious, and driven people. The offer includes: Stable and long-term cooperation with very good conditions Enhance your skills and develop your expertise in the financial industry Work on the most strategic projects available in the market Define your career roadmap and develop yourself in the best and fastest possible way by delivering strategic projects for different clients of ITDS over several years Participation in Social Events, training, and work in an international environment Access to an attractive Medical Package Access to Multisport Program #GETREADY Internal job ID #8840 You can report violations in accordance with ITDS’s Whistleblower Procedure available here .

🏢 Summary: The offer is for a senior Python Developer role focused on building and optimizing trading systems, data pipelines, and analytical tools that enhance execution performance and market insights. The position centers on integrating with trading infrastructure, analyzing large-scale market data, and improving latency, fill rates, and execution quality. It involves close collaboration with research and infrastructure teams to deliver robust, real-time trading solutions. 🗂️ Requirements: Bachelor’s or advanced degree in Computer Science, Engineering, Mathematics, or related quantitative field, 7+ years of professional Python development experience, Experience building libraries, data platforms, or analytical tools, Experience with large-scale and time series datasets, Strong SQL knowledge and experience with analytical databases, Experience working in Linux environments, Knowledge of software engineering best practices (testing, version control, CI), Knowledge of financial markets and electronic trading, Ability to design and maintain real-time data pipelines and monitoring systems 📃 Skills: Python, SQL, NumPy, Pandas, Linux, Git, CI, C, C++, Rust 🏢 Description: About the Client Our client, a global leader in investment management, specializes in pioneering and data-centric strategies. The firm operates across all liquid asset classes globally, harnessing technology and data science to guide their investment strategies. The team comprises experts in data, technology, research, and trading who collaboratively tackle complex problems and achieve outstanding returns. Role Summary As a Python Developer, you'll be instrumental in developing systems and tools that integrate with the trading infrastructure and market mechanisms. Your duties will involve building data pipelines, analytical tools, and libraries to enhance execution analysis and trade performance. This role has been created due to the company's expansion and its objective of further refining trading capabilities. Primary Responsibilities - Analyze trading behaviors across various venues to discover execution issues and enhance latency and fill rates. - Develop Python libraries, data pipelines, and tools to manage exchange protocols, order flows, and extensive trading datasets. - Design analytical frameworks, metrics, and monitoring systems to assess execution quality and system performance. - Oversee live trading systems with a focus on data integrity, pipeline durability, and real-time monitoring. - Collaborate with stakeholders to translate analytical insights into tangible improvements in execution performance. - Work closely with research and infrastructure teams to advance execution analysis and market behavior insights continuously. Required Skills & Experience - Bachelor's or advanced degree in Computer Science, Engineering, Mathematics, or a related quantitative field. - Over 7 years of professional experience in Python development, including crafting libraries, data platforms, or analytical tools. - Expertise with large-scale and time series datasets utilizing tools like NumPy and Pandas. - In-depth SQL knowledge and experience with analytical databases. - Strong problem-solving skills for analyzing complex data and system behaviors. - Capability to translate analytical or trading-related challenges into reliable engineering solutions. - Experience working in Linux environments and applying best practices in software engineering such as testing, version control, and continuous integration. - Knowledge of financial markets, electronic trading, or execution analysis. - Experience with low-level programming languages such as C, C++, or Rust is advantageous. Compensation & Benefits - Competitive salary based on experience - Performance-based annual bonus - Outstanding compensation package Career Development & Growth - Clear pathways for advancement to Senior Developer and Tech Lead roles - Access to internal training resources and mentorship - Regular hackathons and allocated conference budget Ready to elevate your career? Join a team driven by innovation and collaboration. Apply today to be part of a forward-thinking company that values your expertise and supports your professional growth.

🏢 Summary: Senior Python Engineer role focused on designing and building scalable backend systems and AI-integrated applications for finance and telecom projects. The position involves leading architecture decisions, integrating AI tools across the SDLC, and collaborating directly with clients. It requires strong backend expertise, experience with AI agents and LLM integrations, and ownership of high-quality production systems. 🗂️ Requirements: 6+ years professional Python development experience, Commercial experience with AI tools and agent/LLM integrations, Strong expertise in Python 3.9+ and large-scale applications, Experience with REST or GraphQL API development, Experience with automated testing: unit, integration, E2E, Experience with FastAPI, Django REST Framework, or Flask, Proficiency with PostgreSQL and ORM tools, Understanding of clean architecture, DDD, CQRS, event-driven systems, Experience with CI/CD pipelines and Docker, Hands-on experience with AI coding assistants, Strong prompt engineering skills, Experience with AWS services, Ability to work independently and communicate with clients in English 📃 Skills: Python, Django, FastAPI, Flask, PostgreSQL, SQLAlchemy, DjangoORM, REST, GraphQL, NumPy, Pandas, Pydantic, pytest, Docker, GitLabCI, GitHubActions, AWS, S3, RDS, Kubernetes, SQS, RabbitMQ, Celery, Kafka, Redis, MongoDB, MySQL, LangChain, LlamaIndex, Anthropic, OpenAI, Claude, Cursor, Copilot, Git, React, TypeScript 🏢 Description: Description Godel is on the lookout for talented Senior Python Engineers to join one of our teams engaged in the development of business applications for major British companies. We always have new and exciting projects with opportunities to improve your skills in a wide spectrum of technologies. If you are an enthusiastic and ambitious Python Engineer, this job is for you! 02 Responsibilities Design, develop, and maintain scalable finance-focused backend solutions using Python Integrate external systems and third-party APIs Work closely with Product Managers and Tech Leads to define, size, and solve real-world telecom customer problems Write high-quality, well-tested code ensuring reliable daily deployments to production Participate in peer reviews, refinements, and continuous feedback loops across a multi-disciplinary team Maintain a developer-first quality culture: own unit, integration, and functional testing Be part of a weekly engineering goal-setting process (lean Kanban-style working) Apply AI tools throughout the entire development lifecycle: code generation, refactoring, automated review, test creation, debugging, and technical research Architect and design Python-based systems: API services, data pipelines, async workers, and AI-integrated backends — with AI assistance as a core part of the process Conduct thorough code reviews, uphold engineering best practices, and ensure high-quality, maintainable Python codebases across the team Contribute to technology selection, system design, and trade-off analysis across client projects Identify risks, bottlenecks, and security concerns proactively; propose and implement solutions Work directly with clients in English for requirements clarification, technical discussions, and progress updates Mentor junior and mid-level Python engineers through day-to-day guidance, pair sessions, and knowledge sharing Stay current with advancements in Python tooling, AI coding assistants, and LLM-integration patterns 03 Requirements Must have: 6+ years of professional Python development experience after graduation from university At least 0.5 years of commercial experience in AI tools on real projects – building/implementing agents/sub-agents, MCP integrations, skills crafting, or Spec driven integration into clients projects, or building SDLC with help of agents, or RAG chatbots Strong Python engineering skills (3.9+), large-scale applications (not just small web apps): async/await, dataclasses, Pydantic, NumPy, Pandas, etc Good understanding of integration patterns, API development (REST / GraphQL), and third-party system interoperability Solid experience in building automated tests: unit, integration, and E2E tests Readiness to start a new project as a solo engineer and drive communication with the client. In addition, manage extension of a new team if needed Experience with at least one major web/API framework: FastAPI, Django REST Framework, or Flask Proficiency with relational databases (PostgreSQL) and ORMs (SQLAlchemy, Django ORM) Solid understanding of software architecture patterns: clean architecture, domain-driven design, CQRS, event-driven systems Familiarity with CI/CD pipelines (GitLab CI, GitHub Actions) and containerization (Docker, Docker Compose) A demonstrable, personalized AI development workflow with custom skills, prompt templates, and project-level instructions — not just default out-of-the-box usage Hands-on experience with AI coding assistants: Claude Code, Cursor, GitHub Copilot, or similar Strong prompt engineering skills: ability to produce reliable, structured output and critically evaluate AI-generated code Critical mindset toward AI-generated output: knowing when to trust it, when to verify it, and when to rewrite it Passion for clean code, peer reviews, and high code quality standards Familiarity with scaling large systems — vertical scaling, single-tenant deployments Self-driven, comfortable with autonomy and open team cultures (trust > process) Experience working with or around AWS services (e.g., RDS, S3, Kubernetes, SQS, RabbitMQ) Readiness to work with Windows (WSL) Nice to have: Frontend experience (React) Familiarity with Celery, RabbitMQ, or Kafka for async task processing Contributions to open-source Python or AI projects Experience with RAG (Retrieval-Augmented Generation) pipelines and vector databases (Qdrant, Chroma, pgvector) Knowledge of LangGraph, AutoGen, or other agent orchestration frameworks Ability to create custom sub-agents and orchestrate multiple AI agents in parallel for concurrent task execution Experience integrating LLMs into Python applications via the Anthropic SDK, OpenAI SDK, or LangChain/LlamaIndex Exposure to ML/AI model lifecycle: fine-tuning, embedding generation, model evaluation 04 Tech Stack Language: Python 3.9+, JS (Typescript, React) nice to have Web / API: FastAPI, Django REST Framework, Flask, etc Databases: PostgreSQL, Redis, MongoDb, MySQL Task queues: Celery, RabbitMQ, Kafka AI/LLM: Anthropic Claude, OpenAI, LangChain, LlamaIndex, BMAD, SpecKit, OpenSpec Testing: pytest Infrastructure: Docker, GitLab CI/CD, AWS / GCP AI tooling: Claude Code, Cursor, GitHub Copilot Version control: Git (GitLab)

🏢 Summary: Senior Python Engineer role focused on designing and delivering scalable, finance-oriented backend systems and AI-integrated solutions for telecom and enterprise clients. The position involves architecting APIs, data pipelines, and async services while leveraging AI tools throughout the SDLC. Engineers drive technical decisions, ensure high code quality, and collaborate directly with clients. 🗂️ Requirements: 6+ years professional Python development experience, Commercial experience with AI tools in real projects (agents, RAG, integrations), Strong Python 3.9+ knowledge including async/await and typing, Experience building large-scale backend applications, Experience with FastAPI, Django REST Framework, or Flask, Experience with REST or GraphQL API development, Experience integrating third-party systems and APIs, Experience with PostgreSQL and ORM tools, Knowledge of clean architecture, DDD, CQRS, event-driven systems, Experience writing unit, integration, and E2E tests, Experience with CI/CD pipelines, Experience with Docker and containerization, Hands-on experience with AI coding assistants, Strong prompt engineering skills, Experience with AWS services, Ability to work independently and communicate with clients in English 📃 Skills: Python, Django, FastAPI, Flask, REST, GraphQL, PostgreSQL, SQLAlchemy, DjangoORM, Redis, MongoDB, MySQL, Celery, RabbitMQ, Kafka, Docker, GitLabCI, GitHubActions, AWS, GCP, Pytest, NumPy, Pandas, Pydantic, Claude, OpenAI, LangChain, LlamaIndex, AnthropicSDK, OpenAISDK, Kubernetes, SQS, Git 🏢 Description: Description Godel is on the lookout for talented Senior Python Engineers to join one of our teams engaged in the development of business applications for major British companies. We always have new and exciting projects with opportunities to improve your skills in a wide spectrum of technologies. If you are an enthusiastic and ambitious Python Engineer, this job is for you! 02 Responsibilities Design, develop, and maintain scalable finance-focused backend solutions using Python Integrate external systems and third-party APIs Work closely with Product Managers and Tech Leads to define, size, and solve real-world telecom customer problems Write high-quality, well-tested code ensuring reliable daily deployments to production Participate in peer reviews, refinements, and continuous feedback loops across a multi-disciplinary team Maintain a developer-first quality culture: own unit, integration, and functional testing Be part of a weekly engineering goal-setting process (lean Kanban-style working) Apply AI tools throughout the entire development lifecycle: code generation, refactoring, automated review, test creation, debugging, and technical research Architect and design Python-based systems: API services, data pipelines, async workers, and AI-integrated backends — with AI assistance as a core part of the process Conduct thorough code reviews, uphold engineering best practices, and ensure high-quality, maintainable Python codebases across the team Contribute to technology selection, system design, and trade-off analysis across client projects Identify risks, bottlenecks, and security concerns proactively; propose and implement solutions Work directly with clients in English for requirements clarification, technical discussions, and progress updates Mentor junior and mid-level Python engineers through day-to-day guidance, pair sessions, and knowledge sharing Stay current with advancements in Python tooling, AI coding assistants, and LLM-integration patterns 03 Requirements Must have: 6+ years of professional Python development experience after graduation from university At least 0.5 years of commercial experience in AI tools on real projects – building/implementing agents/sub-agents, MCP integrations, skills crafting, or Spec driven integration into clients projects, or building SDLC with help of agents, or RAG chatbots Strong Python engineering skills (3.9+), large-scale applications (not just small web apps): async/await, dataclasses, Pydantic, NumPy, Pandas, etc Good understanding of integration patterns, API development (REST / GraphQL), and third-party system interoperability Solid experience in building automated tests: unit, integration, and E2E tests Readiness to start a new project as a solo engineer and drive communication with the client. In addition, manage extension of a new team if needed Experience with at least one major web/API framework: FastAPI, Django REST Framework, or Flask Proficiency with relational databases (PostgreSQL) and ORMs (SQLAlchemy, Django ORM) Solid understanding of software architecture patterns: clean architecture, domain-driven design, CQRS, event-driven systems Familiarity with CI/CD pipelines (GitLab CI, GitHub Actions) and containerization (Docker, Docker Compose) A demonstrable, personalized AI development workflow with custom skills, prompt templates, and project-level instructions — not just default out-of-the-box usage Hands-on experience with AI coding assistants: Claude Code, Cursor, GitHub Copilot, or similar Strong prompt engineering skills: ability to produce reliable, structured output and critically evaluate AI-generated code Critical mindset toward AI-generated output: knowing when to trust it, when to verify it, and when to rewrite it Passion for clean code, peer reviews, and high code quality standards Familiarity with scaling large systems — vertical scaling, single-tenant deployments Self-driven, comfortable with autonomy and open team cultures (trust > process) Experience working with or around AWS services (e.g., RDS, S3, Kubernetes, SQS, RabbitMQ) Readiness to work with Windows (WSL) Nice to have: Frontend experience (React) Familiarity with Celery, RabbitMQ, or Kafka for async task processing Contributions to open-source Python or AI projects Experience with RAG (Retrieval-Augmented Generation) pipelines and vector databases (Qdrant, Chroma, pgvector) Knowledge of LangGraph, AutoGen, or other agent orchestration frameworks Ability to create custom sub-agents and orchestrate multiple AI agents in parallel for concurrent task execution Experience integrating LLMs into Python applications via the Anthropic SDK, OpenAI SDK, or LangChain/LlamaIndex Exposure to ML/AI model lifecycle: fine-tuning, embedding generation, model evaluation 04 Tech Stack Language: Python 3.9+, JS (Typescript, React) nice to have Web / API: FastAPI, Django REST Framework, Flask, etc Databases: PostgreSQL, Redis, MongoDb, MySQL Task queues: Celery, RabbitMQ, Kafka AI/LLM: Anthropic Claude, OpenAI, LangChain, LlamaIndex, BMAD, SpecKit, OpenSpec Testing: pytest Infrastructure: Docker, GitLab CI/CD, AWS / GCP AI tooling: Claude Code, Cursor, GitHub Copilot Version control: Git (GitLab)