Python-based Data Analyst

🏢 Summary: Oferta dotyczy pracy na stanowisku Data Scientist przy projektowaniu, wdrażaniu i utrzymaniu rozwiązań machine learning oraz systemów rekomendacyjnych. Rola obejmuje analizę danych, prototypowanie modeli, deployment produkcyjny i współpracę z klientami biznesowymi. Firma oferuje pracę z nowoczesnym stackiem technologicznym, elastyczne warunki oraz możliwość pracy zdalnej. 🗂️ Requirements: Wykształcenie wyższe w obszarze ekonometrii, metod ilościowych, matematyki lub informatyki, Minimum 2 lata doświadczenia jako Data Scientist, Doświadczenie we wdrażaniu komercyjnych projektów analitycznych, Doświadczenie w tworzeniu systemów rekomendacyjnych, Znajomość SQL, Bardzo dobra znajomość Python, Znajomość pandas, Znajomość numpy, Znajomość pyspark, Znajomość polars, Znajomość algorytmów machine learning, Programowanie obiektowe, Znajomość code review, Znajomość CI/CD, Umiejętność pracy z klientem biznesowym 📃 Skills: Python, SQL, Pandas, NumPy, PySpark, Polars, Scikit-learn, SciPy, XGBoost, Spark, Jupyter, Zeppelin, Keras, PyTorch, TensorFlow, Optuna, AWS, Azure, GCP, CI/CD, NLP, LLM, GenAI 🏢 Description: Firma Algomine, należąca do grupy TTPSC, poszukuje Data Scientist Zakres obowiązków: Projektowanie i implementacja rozwiązań wykorzystujących uczenie maszynowe Samodzielna praca na projektach analitycznych i consultingowych Bliska współpraca z klientem, analiza procesów, zbieranie wymagań Prowadzenie analiz eksploracyjnych Prototypowanie rozwiązań analitycznych (uczenie modeli, testowanie podejść) Development i deployment rozwiązań o charakterze produkcyjnym Utrzymywanie i rozwój wdrożonych rozwiązań Prezentacja koncepcji i business-case, omawianie uzyskiwanych wyników Poszukiwane kompetencje: Wykształcenie wyższe o ścisłym profilu: ekonometria, metody ilościowe, matematyka, informatyka Min. 2 lata doświadczenia w roli Data Scientist / we wdrażaniu komercyjnych projektów analitycznych Doświadczenie w tworzeniu i rozwijaniu systemów rekomendacyjnych Wysokie umiejętności przetwarzania danych (SQL, Python: pandas, numpy, pyspark, polars) Dobra znajomość technik i algorytmów machine learning'owych oraz ich implementacji w Python Bardzo dobra znajomość języka Python, w tym programowania obiektowego, optymalizacja kodu Znajomość dobrych praktyk programistycznych (code review, CICD) Dobra komunikacja, umiejętność dialogu z biznesem, prezentacji złożonych koncepcji Mile widziane: Doświadczenie w obszarze doradztwa i consultingu / w pracy dla różnych klientów zewnętrznych, ewentualnie wewnętrznych (np. dział analiz w firmie) / doświadczenie z kilku branż Doświadczenie w projektach end-to-end: od projektu do wdrożenia Doświadczenie we wdrażaniu projektów w obszarach: NLP, LLM, GenAI Znajomość narzędzi służących do przetwarzania dużych zbiorów danych (Apache Spark) Znajomość przynajmniej jednego środowiska chmurowego: AWS, Azure, GCP Stos technologiczny: Open-source: Python, doświadczenie w pracy w notebookach (Jupyter, Zeppelin), Spark (PySpark), Biblioteki: Pandas, Numpy, Scikit-learn, Scipy, Xgboost (mile widziane: Keras, PyTorch, TensorFlow, Optuna) Oferujemy: Nowoczesny stack technologiczny i otwartość na wdrażanie nowych rozwiązań Udział w zróżnicowanych i zaawansowanych technologicznie projektach Data Science Pracę w dedykowanym zespole Data Science Prywatna opieka medyczna i karta sportowa Elastyczny czas pracy i możliwość 100% pracy zdalnej Spotkania integracyjne oraz niezapomniane imprezy firmowe

🏢 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: 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: 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: Role for a Python Specialist responsible for developing and maintaining production-grade applications, enhancing legacy systems, and building new services using modern architectures. The position focuses on backend development, database optimization, cloud infrastructure, and high testing standards within a regulated environment. Involves working with AWS and infrastructure-as-code while delivering robust REST APIs. 🗂️ Requirements: Extensive experience with Python in production environments, Deep knowledge of modern Python features (type hints, decorators), Hands-on experience with SQLAlchemy 2.0, Strong experience with PostgreSQL, Solid understanding of RDBMS principles, Experience managing database migrations with Alembic, Experience with FastAPI or similar ASGI frameworks, Ability to refactor legacy applications in live production systems, Experience with AWS cloud services, Experience using Terraform for infrastructure-as-code, Proficiency with Docker for deployment, Strong testing experience with pytest, Experience with behavior-driven testing, Knowledge of Domain-Driven Design, Experience with CI/CD pipelines using GitHub Actions 📃 Skills: Python, SQLAlchemy, PostgreSQL, Alembic, FastAPI, ASGI, AWS, Terraform, Docker, pytest, RDBMS, DDD, GitHubActions 🏢 Description: Introduction & Summary We are seeking a highly skilled Python Specialist with extensive experience in building and maintaining production-grade Python systems. The ideal candidate must demonstrate deep fluency in modern Python features and a robust understanding of RDBMS principles. You will play a crucial role in both enhancing legacy systems and developing new applications with high standards. Main Responsibilities As a Python Specialist, your core duties will include: Developing and maintaining Python applications in a production environment. Implementing features using SQLAlchemy 2.0, ensuring efficient database interactions. Managing schemas in PostgreSQL with a focus on optimization. Overseeing database migrations using Alembic. Utilizing FastAPI to construct and deploy REST APIs. Refactoring existing applications to adopt modern architectures. Interfacing with AWS services for deployment and infrastructure management. Employing Terraform for infrastructure-as-code methodologies. Executing comprehensive testing strategies using pytest. Implementing behavior-driven testing practices. Key Requirements Extensive experience with Python, including features such as type hints and decorators. Hands-on experience with SQLAlchemy 2.0 and PostgreSQL. Strong understanding of RDBMS fundamentals and database migrations (Alembic). Experience with FastAPI or similar ASGI frameworks. Ability to refactor legacy applications while serving production traffic. Familiarity with AWS cloud services and Terraform. Proficient in Docker for application deployment. Strong testing discipline with pytest and knowledge of behavior-driven testing. Experience with Domain-Driven Design principles. Familiarity with CI/CD best practices using GitHub Actions. Nice to Have Background in Operations Research or Mathematical Optimization. Experience in regulated industries such as pharmaceuticals or medical devices. Other Details This position involves collaboration in a regulated environment, with a strong focus on compliance and documentation standards. Remote working options may be available.

🏢 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: Data Scientist role focused on developing, deploying, and maintaining statistical and machine learning models to support actuarial processes. The position involves advanced data analysis, feature engineering, and automation of analytical workflows in collaboration with actuarial and insurance teams. The role emphasizes predictive analytics, model interpretability, and effective communication of technical results. 🗂️ Requirements: Proficiency in Python for data analysis and modeling, Strong knowledge of machine learning methods, Knowledge of predictive analytics, Knowledge of statistical inference, Experience with data processing tools (pandas, SQL), Experience with data visualization tools (matplotlib, seaborn, ggplot2), Experience with code repositories, Ability to perform exploratory data analysis, Experience in feature engineering 📃 Skills: Python, MachineLearning, PredictiveAnalytics, Statistics, pandas, SQL, matplotlib, seaborn, ggplot2, Git, SAS, AWS, Azure, Emblem, Radar 🏢 Description: Firma Algomine należąca do Grupy Kapitałowej Transition Technologies PSC poszukuje osoby na stanowisko Data Scientist Zakres obowiązków Opracowywanie, wdrażanie i utrzymywanie modeli statystycznych oraz uczenia maszynowego wspierających funkcje aktuarialne. Analiza dużych i złożonych zbiorów danych w celu uzyskania praktycznych wniosków wspierających proces podejmowania decyzji. Przeprowadzanie eksploracyjnej analizy danych i tworzenie cech (feature engineering) dla poprawy jakości modeli i ich interpretowalności. Wspieranie automatyzacji i optymalizacji procesów aktuarialnych z wykorzystaniem nowoczesnych narzędzi i frameworków data science. Ścisła współpraca z aktuariuszami, underwriterami i zespołami likwidacji szkód w celu przekładania wyzwań biznesowych na rozwiązania analityczne. Przygotowywanie prezentacji wyników i rekomendacji w sposób zrozumiały dla odbiorców technicznych. Poszukiwane kompetencje Biegłość w Pythonie w zakresie analizy danych i modelowania. Dobra znajomość metod uczenia maszynowego, analityki predykcyjnej oraz wnioskowania statystycznego. Doświadczenie w pracy z narzędziami do przetwarzania danych (np. pandas, SQL) oraz wizualizacji danych (np. matplotlib, seaborn, ggplot2). Umiejętność pracy z wykorzystaniem repozytorium kodu. Analityczne myślenie: silne umiejętności rozwiązywania problemów i pasja do odkrywania wniosków płynących z danych. Komunikacja: umiejętność współpracy w interdyscyplinarnych zespołach. Mile widziane: Znajomość narzędzi pricingowych WTW (Emblem, Radar) Znajomość branży ubezpieczeniowej Znajomość narzędzi SAS Znajomość systemów kontroli wersji (Git) Znajomość środowisk chmurowych (AWS, Azure) Oferujemy Nowoczesny stack technologiczny i otwartość na wdrażanie nowych rozwiązań Udział w zróżnicowanych i zaawansowanych technologicznie projektach Data Science Pracę w dedykowanym zespole Data Science Prywatna opieka medyczna i karta sportowa Elastyczny czas pracy Spotkania integracyjne oraz niezapomniane imprezy firmowe

🏢 Summary: Data Solution Designer role focused on designing and maintaining data models, integrations, and scalable technical solutions for credit and financial data processes using Python and SQL. The position involves collaboration with stakeholders, ensuring data quality and governance, and supporting automation and continuous improvement initiatives. The offer includes private medical care, sports card co-financing, consultant support, and an employee referral program. 🗂️ Requirements: Experience in data modelling and solution design, Strong SQL skills, Programming skills in Python, Experience with relational databases, Experience with data integration and transformation, Experience with data mapping across multiple systems, Understanding of APIs and system integrations, Understanding of process modelling, Experience ensuring data quality and governance standards, Experience translating business requirements into technical solutions, Fluent English, Strong analytical and problem-solving skills 📃 Skills: Python, SQL, APIs, Kafka, PowerBI, Java 🏢 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: Data Solution Designer with Python Responsibilities: Design and maintain data models supporting credit and financial data processes Analyse business requirements and translate them into scalable technical solutions Define and manage data mappings between multiple systems to ensure accurate data integration and transformation Ensure data quality, consistency, traceability and auditability across the solution landscape Collaborate with business stakeholders, architects and development teams on end-to-end solution design Prepare and maintain technical documentation and functional specifications Support process optimization and automation using AI-assisted tools Participate in solution implementation, testing and continuous improvement activities Requirements: Extensive experience in data modelling and solution design Strong SQL skills and hands-on experience with relational databases Good programming skills in Python Experience with data integration, transformation and data mapping across multiple systems Understanding of APIs, system integrations and process modelling Experience ensuring data quality, consistency and governance standards Experience working directly with business stakeholders and translating business requirements into technical solutions Fluent English, both written and spoken Strong analytical and problem-solving skills Nice to have: Knowledge of Kafka Experience with Power BI Familiarity with Java development Understanding of data warehouse concepts and architecture Experience using AI tools for documentation, testing, data analysis or development support Experience in banking, finance or regulatory reporting environments Knowledge of credit risk, rating or financial statement data domains Offer: Private medical care Co-financing for the sports card Constant support of dedicated consultant Employee referral program

🏢 Summary: Offer for an experienced Python Developer to design and develop cloud-based, data-driven solutions in GCP within the banking sector, focusing on data pipelines, analytics, and MLOps. The role involves building high-quality Python code, developing analytical solutions, and supporting data processing systems in a modern, quality-oriented environment. 🗂️ Requirements: Minimum 5 years of experience as Python Developer, Commercial experience in Python programming, Higher education degree in Computer Science, Mathematics or related field, Strong knowledge of SQL, especially analytical queries, Experience in building data pipelines, Experience working with cloud environments, Ability to write unit tests, Experience with code review and refactoring 📃 Skills: Python, SQL, GCP, BigQuery, GCS, Dataproc, PySpark, DataFrame, MLOps, JIRA, Confluence 🏢 Description: Wspólnie z naszym Partnerem, liderem w branży bankowej, poszukujemy doświadczonej osoby na stanowisko Python Developer. Zespół odpowiada za budowę i utrzymanie rozwiązań data-driven opartych o chmurę obliczeniową GCP. Prace obejmują tworzenie potoków danych, analitykę oraz rozwiązania z obszaru MLOps. Środowisko pracy opiera się na nowoczesnym stosie technologicznym z wysokim naciskiem na jakość kodu, automatyzację i współpracę interdyscyplinarną. 💡 TWOJA ROLA: Współpraca z analitykami biznesowymi, architektami IT oraz klientem biznesowym przy realizacji wymagań projektowych. Projektowanie, rozwój oraz dokumentowanie rozwiązań technicznych wspierających przetwarzanie i analizę danych. Tworzenie wysokiej jakości kodu w języku Python z wykorzystaniem dobrych praktyk programistycznych. Przeprowadzanie testów jednostkowych oraz dbanie o jakość rozwijanych rozwiązań. Budowa oraz rozwój potoków danych i rozwiązań analitycznych w środowisku GCP . Wsparcie techniczne oraz mentoring mniej doświadczonych programistów. Udział w code review oraz działaniach związanych z refaktoryzacją kodu. 🔍 CZEGO OCZEKUJEMY OD CIEBIE? Minimum 5 lat doświadczenia w roli Python Developer. Wykształcenia wyższego kierunkowego ( informatyka, matematyka lub kierunki pokrewne ). Dobrej znajomości języka SQL , w szczególności w zakresie zapytań analitycznych. Systematyczności, zaangażowania oraz wysokiej jakości komunikacji zespołowej. Umiejętności analitycznego myślenia oraz samodzielności w działaniu. Doświadczenia komercyjnego w programowaniu w języku Python . Umiejętności współpracy w środowisku interdyscyplinarnym. Mile widziane: Doświadczenie w pracy z Google Cloud Platform (BigQuery, GCS, Dataproc, Notebooks) . Znajomość PySpark w zakresie operacji na DataFrame. Znajomość narzędzi JIRA oraz Confluence . Doświadczenie w obszarze bankowości . ✨ OFERUJEMY: 🤖 Nowoczesny proces rekrutacji z AI Rekruterem (AIR) – podczas aplikacji możesz odbyć rozmowę z wirtualnym rekruterem 24/7, bez czekania na telefon. Dostajesz natychmiastowy feedback, a finalną decyzję zawsze podejmuje Rekruter Connectis. Możliwość uczestnictwa w spotkaniach integracyjnych oraz meetupach technologicznych, gdzie będziesz mógł/mogła dzielić się wiedzą i doświadczeniem. Praca w modelu hybrydowym - 4 dni zdalnie, 1 dzień z biura w tygodniu, (dla osób zamieszkałych poza Warszawą możliwość pracy zdalnej). Wsparcie dedykowanej osoby kontaktowej z Connectis, dostępnej w celu pomocy w sprawach związanych z projektem. Rozwój kariery i długofalową współpracę w firmie o ugruntowanej pozycji na rynku. 5000 PLN za polecenie znajomego do naszych projektów. Praca z nowoczesnego biura w Warszawie. Szybki, zdalny proces Dziękujemy za wszystkie zgłoszenia. Pragniemy poinformować, że skontaktujemy się z wybranymi osobami. 12879/PZ

🏢 Summary: Expert-level Python Developer role focused on building and enhancing a desktop-based statistical and analytical software application. The position involves developing scalable statistical tools for data analysis, visualization, and decision support using Python technologies. The application processes structured datasets, performs statistical computations, and provides an interactive GUI for business and technical users. 🗂️ Requirements: Minimum 5 years of hands-on Python application development, Strong proficiency in Python, Experience in statistical software development, Hands-on experience with PyQt for desktop GUI development, Experience with Pandas and NumPy for data manipulation and analysis, Experience with Matplotlib for data visualization, Experience developing and maintaining analytical or statistical tools, Ability to translate statistical and business requirements into software solutions 📃 Skills: Python, PyQt, Pandas, NumPy, Matplotlib, GUI, Statistics, DataAnalysis 🏢 Description: Role: Python Developer – Statistical Software Development Experience: For an expert-level profile, we are looking for a developer with minimum 5 years of hands-on experience in Python-based application development. Technical Skill Set & Expectations: Strong proficiency in Python Hands-on experience in statistical software development Proven experience with: PyQt for desktop application (GUI) development Pandas and NumPy for data manipulation and analysis Matplotlib for data visualization and charting Experience in developing, maintaining, and enhancing analytical or statistical tools Ability to translate business and statistical requirements into scalable, user-friendly software solutions Application Context / Description: The application in scope is a desktop-based statistical and analytical software used for data analysis, visualization, and decision support. It handles structured datasets, performs statistical computations, generates plots and reports, and provides an interactive user interface for business and technical users. The tool is primarily used for analytical studies, validation, and internal decision-making .